Alegre LN, Bazzan ALC, Roijers DM, et al (2026) Generalized policy improvement for efficient and robust multi-objective reinforcement learning. Autonomous Agents and Multiagent Systems (JAAMAS)
Bazzan ALC (2026) Artificial intelligence in transportation: A meta review. SN Computer Science 7: https://doi.org/10.1007/s42979-025-04530-z
Alegre LN, Bazzan ALC, Barreto A, da Silva BC (2025) Constructing an optimal behavior basis for the option keyboard. In: Proceedings of the thirty-ninth conference on neural information processing systems (NeurIPS)
Bazzan ALC (2025) Uma visão em rede dos primórdios da comunidade acadêmica em informática e computação no Brasil: uma proposta de elaboração
Dinkelberg A, Santana BS, Bazzan ALC (2025) Endorsement networks in the 2022 Brazilian presidential elections: A case study on twitter data. J Braz Comput Soc 31:219–228. https://doi.org/10.5753/JBCS.2025.3747
Almeida VN, Alegre LN, Bazzan ALC (2024) Knowledge transfer in multi-objective multi-agent reinforcement learning via generalized policy improvement. Computer Science and Information Systems 21:335–362. https://doi.org/10.2298/CSIS221210071A
Bazzan ALC, Gobbi HU, Santos GD (2024) Using non-local connections to augment knowledge and efficiency in multiagent reinforcement learning: An application to route choice. Journal of Information and Data Management 15:186–195. https://doi.org/10.5753/jidm.2024.3328
Bybordi A, DiCicco M, Raja A, Bazzan ALC (2024) CHIDYN: A clustering-based hierarchical approach for dynamic traffic assignment. Transportation Research Procedia 78:63–70. https://doi.org/10.1016/j.trpro.2024.02.009
Gobbi HU, Santos GD, Bazzan ALC (2024) Comparing reinforcement learning algorithms for a trip building task: A multi-objective approach using non-local information. Computer Science and Information Systems 21:291–308. https://doi.org/10.2298/CSIS221210072G
Alegre LN, Bazzan ALC, Nowé A, Silva BC da (2023a) Multi-step generalized policy improvement by leveraging approximate models. In: Advances in neural information processing systems (NeurIPS)
Alegre LN, Bazzan ALC, Roijers DM, et al (2023b) Sample-efficient multi-objective learning via generalized policy improvement prioritization. In: Proceedings of the 2023 international conference on autonomous agents and multiagent systems. International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, pp 2003–2012
Alegre LN, Roijers DM, Nowé A, et al (2023c) Sample-efficient multi-objective learning via generalized policy improvement prioritization
Bazzan ALC, Tavares AR, Pereira AG, et al (2023) A nova eletricidade: Aplicações, riscos e tendências da IA moderna
Felten F, Alegre LN, Nowé A, et al (2023) A toolkit for reliable benchmarking and research in multi-objective reinforcement learning. In: Advances in neural information processing systems
Huanca-Anquise CA, Bazzan ALC, Tavares AR (2023) Multi-objective, multi-armed bandits: Algorithms for repeated games and application to route choice. Revista de Informática Teórica e Aplicada 30: https://doi.org/10.22456/2175-2745.122929
Mei D, Huang I-A, Raja A, et al (2023) Traffic optimization using a coordinated route updating mechanism. Journal of Intelligent Transportation Systems 27:626–642. https://doi.org/10.1080/15472450.2022.2074791
Wang Y, Wagner C, Bazzan ALC (2023) Gender asymmetries in the depiction of historical figures: A comparison of Bede’s Historia Ecclesiastica and Wikipedia
Alegre LN, Bazzan ALC, Silva BC da (2022a) Optimistic linear support and successor features as a basis for optimal policy transfer. In: Chaudhuri K, Jegelka S, Song L, et al. (eds) Proceedings of the 39th international conference on machine learning. PMLR, Baltimore, Maryland, USA, pp 394–413
Alegre LN, Felten F, Talbi E-G, et al (2022b) MO-Gym: A library of multi-objective reinforcement learning environments. In: Proceedings of the 34th benelux conference on artificial intelligence BNAIC/benelearn 2022
Alegre LN, Ziemke T, Bazzan ALC (2022c) Using reinforcement learning to control traffic signals in a real-world scenario: An approach based on linear function approximation. IEEE Transactions on Intelligent Transportation Systems 23:9126–9135. https://doi.org/10.1109/TITS.2021.3091014
Almeida VN de (2022) Multi-agent reinforcement learning via generalized policy improvement
Almeida VN de, Bazzan ALC, Abdoos M (2022) Multiagent reinforcement learning for traffic signal control: A k-nearest neighbors based approach. In: Bazzan ALC, Dusparic I, Lujak M, Vizzari G (eds) Twelfth international workshop on agents in traffic and transportation. CEUR-WS.org, pp 32–46
Antes T de O, Bazzan ALC, Tavares AR (2022) Information upwards, recommendation downwards: Reinforcement learning with hierarchy for traffic signal control. Procedia Computer Science 201:24–31
Bazzan ALC (2022) Improving urban mobility: Using artificial intelligence and new technologies to connect supply and demand
Bazzan ALC, Gobbi HU, Santos GD dos (2022) More knowledge, more efficiency: Using non-local information on multiple traffic attributes. In: Proceedings of the x symposium on knowledge discovery, mining and learning (KDMiLe 2022). SBC, Campinas, pp 194–201
Noaeen M, Naik A, Goodman L, et al (2022) Reinforcement learning in urban network traffic signal control: A systematic literature review. Expert Systems with Applications 199:116830. https://doi.org/10.1016/j.eswa.2022.116830
Ribeiro MVL, Samatelo JLA, Bazzan ALC (2022) A new microscopic approach to traffic flow classification using a convolutional neural network object detector and a multi-tracker algorithm. IEEE Transactions on Intelligent Transportation Systems 23:3797–3801. https://doi.org/10.1109/TITS.2020.3040594
Santos GD dos, Bazzan ALC (2022) A multiobjective reinforcement learning approach to trip building. In: Bazzan ALC, Dusparic I, Lujak M, Vizzari G (eds) Proc. Of the 12th international workshop on agents in traffic and transportation (ATT 2022). CEUR-WS.org, pp 160–174
Schreiber LV, Alegre LN, Bazzan ALC, O. Ramos G de (2022) On the explainability and expressiveness of function approximation methods in RL-based traffic signal control. In: Proceedings of the 2022 international joint conference on neural networks
Shynkar Y, Raja A, Bazzan ALC, Marinov M (2022) Multiagent meta-level control for adaptive traffic systems: A case study. Transportation Research Procedia 62:236–244. https://doi.org/10.1016/j.trpro.2022.02.030
Alegre LN, Bazzan ALC, Silva BC da (2021a) Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control. PeerJ Computer Science 7:e575. https://doi.org/10.7717/peerj-cs.575
Klügl F, Bazzan ALC (2021a) Accelerating route choice learning with experience sharing in a commuting scenario: An agent-based approach. AI Commun 34:105–119. https://doi.org/10.3233/AIC-201582
Abdoos M, Bazzan ALC (2021) Hierarchical traffic signal optimization using reinforcement learning and traffic prediction with long-short term memory. Expert Systems with Applications 114580. https://doi.org/10.1016/j.eswa.2021.114580
Alegre LN, Bazzan ALC, Silva BC da (2021b) Minimum-delay adaptation in non-stationary reinforcement learning via online high-confidence change-point detection. In: Proceedings of the 20th international conference on autonomous agents and multiagent systems (AAMAS). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, pp 97–105
Bazzan ALC (2021a) Comparing the centralities of core characters in three sitcoms. Revista de Sistemas de Informação da FSMA 27:54–66
Bazzan ALC (2021b) Contribuições de aprendizado por reforço em escolha de rota e controle semafórico. Estudos Avançados 35:95–110
Klügl F, Bazzan ALC (2021b) Accelerating route choice learning with experience sharing in a commuting scenario: An agent-based approach. AI Communications 34:105–119. https://doi.org/10.3233/AIC-201582
Labres JVB, Bazzan ALC, Abdoos M (2021) Improving traffic signal control with joint-action reinforcement learning. In: 2021 IEEE symposium series on computational intelligence (SSCI). pp 01–08
Noaeen M, Naik A, Goodman L, et al (2021) Reinforcement learning in urban network traffic signal control: A systematic literature review
Norouzi M, Abdoos M, Bazzan ALC (2021) Experience classification for transfer learning in traffic signal control. J Supercomputing 77:780–795. https://doi.org/10.1007/s11227-020-03287-x
Santos GD dos, Bazzan ALC, Baumgardt AP (2021) Using car to infrastructure communication to accelerate learning in route choice. Journal of Information and Data Management 12:
Santos GD dos, Bazzan ALC (2021) Sharing diverse information gets driver agents to learn faster: An application in en route trip building. PeerJ Computer Science 7:e428. https://doi.org/10.7717/peerj-cs.428
Ziemke T, Alegre LN, Bazzan ALC (2021) Reinforcement learning vs. Rule-based adaptive traffic signal control: A fourier basis linear function approximation for traffic signal control. AI Communications 89–103. https://doi.org/10.3233/AIC-201580
Ramos G de O, Rădulescu R, Nowé A, Tavares AR (2020a) Toll-based learning for minimising congestion under heterogeneous preferences. In: An B, Yorke-Smith N, El Fallah Seghrouchni A, Sukthankar G (eds) Proc. Of the 19th international conference on autonomous agents and multiagent systems (AAMAS 2020). IFAAMAS
Alegre LN, Bazzan ALC, Silva BC da (2020) Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control
Bazzan ALC, Klügl F (2020) Experience sharing in a traffic scenario. In: Dusparic I, Klügl F, Lujak M, Vizzari G (eds) Proc. Of the 11th int. Workshop on agents in traffic and transportation. CEUR-WS.org, Santiago de Compostella, pp 71–78
Bazzan ALC (2020a) I will be there for you: Clique, character centrality, and community detection in Friends. Computational and Applied Mathematics 39: https://doi.org/10.1007/s40314-020-01222-7
Bazzan ALC (2020b) Similar yet different: The structure of social networks of characters in Seinfeld, Friends, How i met your mother, and The big bang theory. RITA – Revista de Informática Teórica e Aplicada 27:66–80
Chamby-Diaz JC, Estevam RS, Bazzan ALC (2020) Identifying traffic conditions from non-traffic related sources. Journal of Intelligent Transportation Systems 1–16. https://doi.org/10.1080/15472450.2020.1848562
Paim EC, Bazzan ALC, Chira C (2020) Detecting communities in networks: A decentralized approach based on multiagent reinforcement learning. In: 2020 IEEE symposium series on computational intelligence (SSCI). IEEE, pp 2225–2232
Prado SD, Dahmen SR, Bazzan ALC, et al (2020a) GENDERED NETWORKS AND COMMUNICABILITY IN MEDIEVAL HISTORICAL NARRATIVES. Advances in Complex Systems 23:2050006. https://doi.org/10.1142/S021952592050006X
Prado SD, Dahmen SR, Bazzan ALC, et al (2020b) Gendered networks and communicability in medieval historical narratives
Ramos G de O, Da Silva BC, Rǎdulescu R, et al (2020b) Toll-based reinforcement learning for efficient equilibria in route choice. The Knowledge Engineering Review 35:E8. https://doi.org/10.1017/S0269888920000119
Redwan CSZ, Bazzan ALC (2020) HOW HARD IS FOR AGENTS TO LEARN THE USER EQUILIBRIUM? CHARACTERIZING TRAFFIC NETWORKS BY MEANS OF ENTROPY. Advances in Complex Systems 23:2050011. https://doi.org/10.1142/S0219525920500113
Santos F dos, Nunes I, Bazzan ALC (2020) Quantitatively assessing the benefits of model-driven development in agent-based modeling and simulation. Simul Model Pract Theory 104:102126. https://doi.org/10.1016/j.simpat.2020.102126
Santos GD dos, Bazzan ALC (2020) Accelerating learning of route choices with C2I: A preliminary investigation. In: Proc. Of the VIII symposium on knowledge discovery, mining and learning. SBC, pp 41–48
Schapke J, Bazzan ALC (2020) Inducing selfish agents towards social efficient solutions. In: Anais do VIII symposium on knowledge discovery, mining and learning. SBC, Porto Alegre, RS, Brasil, pp 9–16
Trevizan B, Chamby-Diaz J, Bazzan ALC, Recamonde-Mendoza M (2020) A comparative evaluation of aggregation methods for machine learning over vertically partitioned data. Expert Systems with Applications 152: https://doi.org/10.1016/j.eswa.2020.113406
Ziemke T, Alegre LN, Bazzan ALC (2020) A reinforcement learning approach with Fourier basis linear function approximation for traffic signal control. In: Dusparic I, Klügl F, Lujak M, Vizzari G (eds) Proc. Of the 11th international workshop on agents in traffic and transportation (ATT 2020). CEUR-WS.org, pp 55–62
Chamby-Diaz JC, Bazzan ALC (2019) Identifying traffic event types from Twitter by multi-label classification. In: 2019 8th brazilian conference on intelligent systems (BRACIS). pp 806–811
Chamby-Diaz JC, Recamonde-Mendoza M, Bazzan ALC (2019) Dynamic correlation-based feature selection for feature drifts in data streams. In: 8th brazilian conference on intelligent systems (BRACIS). pp 198–203
Alegre LN (2019) SUMO-RL. GitHub repository
Bazzan ALC, Chamby-Diaz JC, Estevam RS, et al (2019) Using information from heterogeneous sources and machine learning in intelligent transportation systems. In: IEEE 15th international conference on intelligent computer communication and processing (ICCP). IEEE, Cluj-Napoca, pp 213–220
Bazzan ALC (2019) Aligning individual and collective welfare in complex socio-technical systems by combining metaheuristics and reinforcement learning. Eng Appl of AI 79:23–33
Estevam RS, Chamby-Diaz JC, Bazzan ALC (2019) O que é relevante na predição das condições do tráfego a partir de dados de Twitter e outras fontes heterogêneas? Um estudo preliminar sobre a cidade de Porto Alegre. In: Anais do XXXIII congresso de pequisa e ensino em transportes (ANPET 2019)
Hasan MR, Raja A, Bazzan ALC (2019) A context-aware convention formation framework for large-scale networks. Autonomous Agents and Multi-Agent Systems 33:1–34. https://doi.org/10.1007/s10458-018-9397-9
Lemos LL, Bazzan ALC (2019) Combining adaptation at supply and demand levels in microscopic simulation: A multiagent learning approach. Transportation Research Procedia 37:465–472
Levit V, Komarovsky Z, Grinshpoun T, et al (2019) Incentive-based search for equilibria in Boolean games. Constraints 24:288–319. https://doi.org/10.1007/s10601-019-09304-y
Silva MAL, Souza SR de, Souza MJF, Bazzan ALC (2019) A reinforcement learning-based multi-agent framework applied for solving routing and scheduling problems. Expert Syst Appl 131:148–171. https://doi.org/10.1016/j.eswa.2019.04.056
Chamby-Diaz JC, Recamonde-Mendoza M, Bazzan ALC, Grunitzki R (2018) Adaptive incremental Gaussian mixture network for non-stationary data stream classification. In: Proceedings of the 2018 international joint conference on neural networks (IJCNN). Rio de Janeiro
Grunitzki R, da Silva BC, Bazzan ALC (2018) Towards designing optimal reward functions in multi-agent reinforcement learning problems. In: Proc. Of the 2018 international joint conference on neural networks (IJCNN 2018). Rio de Janeiro
Ramos G de O, da Silva BC, Rădulescu R, Bazzan ALC (2018a) Learning system-efficient equilibria in route choice using tolls. In: Proceedings of the adaptive learning agents workshop 2018 (ALA-18). Stockholm
Ramos G de O, Bazzan ALC, da Silva BC (2018b) Analysing the impact of travel information for minimising the regret of route choice. Transportation Research Part C: Emerging Technologies 88:257–271. https://doi.org/10.1016/j.trc.2017.11.011
Bazzan ALC (2018a) I will be there for you: Six friends in a clique
Bazzan ALC (2018b) Accelerating the computation of solutions in resource allocation problems using an evolutionary approach and multiagent reinforcement learning. In: Sim K, Kaufmann P (eds) Applications of evolutionary computation (EvoApplications 2018). Springer, Parma, Italy, pp 185–201
Lemos LL, Bazzan ALC, Pasin M (2018) Co-adaptive reinforcement learning in microscopic traffic systems. In: 2018 IEEE congress on evolutionary computation, CEC 2018, rio de janeiro, brazil, july 8-13, 2018. pp 1–8
Oliveira TBF de, Bazzan ALC, Silva BC da, Grunitzki R (2018) Comparing multi-armed bandit algorithms and Q-learning for multiagent action selection: A case study in route choice. In: 2018 international joint conference on neural networks, IJCNN. IEEE, Rio de Janeiro, pp 1–8
Ramos G de O, Burguillo JC, Bazzan ALC (2018c) Self-organizing coalitions for managing complexity. Springer, Cham, pp 207–263
Santos F, Nunes I, Bazzan ALC (2018) Model-driven agent-based simulation development: A modeling language and empirical evaluation in the adaptive traffic signal control domain. Simulation Modelling Practice and Theory 83:162–187. https://doi.org/10.1016/j.simpat.2017.11.006
Schwarzrock J, Zacarias I, Bazzan ALC, et al (2018) Solving task allocation problem in multi unmanned aerial vehicles systems using swarm intelligence. Eng Appl of AI 72:10–20. https://doi.org/10.1016/j.engappai.2018.03.008
Xiong Y, Gan J, An B, et al (2018) Optimal electric vehicle fast charging station placement based on game theoretical framework. IEEE Trans Intelligent Transportation Systems 19:2493–2504. https://doi.org/10.1109/TITS.2017.2754382
Grunitzki R, Bazzan ALC (2017) Comparing two multiagent reinforcement learning approaches for the traffic assignment problem. In: Intelligent systems (BRACIS), 2017 brazilian conference on
Grunitzki R, da Silva BC, Bazzan ALC (2017) A flexible approach for designing optimal reward functions. In: Das S, Durfee E, Larson K, Winikoff M (eds) Proceedings of the 16th international conference on autonomous agents and multiagent systems (AAMAS 2017). IFAAMAS, São Paulo, pp 1559–1560
Lemos LL, Bazzan ALC, Ramos G de O (2017) Avaliação do desempenho do aprendizado por reforço em simulação microscópica de tráfego. In: Anais do XI workshop-escola de sistemas de agentes, seus ambientes e apliCações (WESAAC 2017). São Paulo, pp 11–22
Moreira D, Santos F, Barbieri M, et al (2017) ABStractme: Modularized environment modeling in agent-based simulations. In: Das S, Durfee E, Larson K, Winikoff M (eds) Proceedings of the 16th international conference on autonomous agents and multiagent systems. IFAAMAS, São Paulo, pp 1802–1804
Oliveira TBF, Silva BC da, F. S, et al (2017) Extending a coupling metric for characterization of traffic networks: An application to the route choice problem. In: Proc. Of the 11th workshop-school on agents, enviroments, and applications (WESAAC 2017). São Paulo
Ramos G de O, da Silva BC, Bazzan ALC (2017a) Learning to minimise regret in route choice. In: Das S, Durfee E, Larson K, Winikoff M (eds) Proc. Of the 16th international conference on autonomous agents and multiagent systems (AAMAS 2017). IFAAMAS, São Paulo, pp 846–855
Ramos G de O, Lemos LL, Bazzan ALC (2017b) Developing a python reinforcement learning library for traffic simulation. In: Brys T, Harutyunyan A, Mannion P, Subramanian K (eds) Proceedings of the adaptive learning agents workshop 2017 (ALA2017). São Paulo
Santos F, Nunes I, Bazzan A (2017a) Model-driven engineering in agent-based modeling and simulation: A case study in the traffic signal control domain. In: Das S, Durfee E, Larson K, Winikoff M (eds) Proceedings of the 16th international conference on autonomous agents and multiagent systems (AAMAS 2017). IFAAMAS, São Paulo, pp 1725–1727
Santos F, Nunes I, Bazzan ALC (2017b) A case study of the development of an agent-based simulation in the traffic signal control domain using an MDD approach. In: Proceedings of the 5th international workshop on engineering multi-agent systems (EMAS 2017). São Paulo, pp 97–112
Alves M, Bazzan ALC, Recamonde-Mendoza M (2017) Social-training: Ensemble learning with voting aggregation for semi-supervised classification tasks. In: BRACIS 2017. pp 7–12
Bazzan ALC (2017) Synergies between evolutionary computation and multiagent reinforcement learning: The benefits of exchanging solutions. In: GECCO ’17 companion. ACM, Berlin, pp 201–202
Dahmen SR, Bazzan ALC, Gramsch R (2017) Community detection in the network of German princes in 1225. In: Gonçalves B, Menezes R, Sinatra R, Zlatic V (eds) Complex networks VIII: Proceedings of the 8th conference on complex networks (CompleNet 2017). Springer, pp 193–200
Koster A, Bazzan ALC, Souza M de (2017) Liar liar, pants on fire; or how to use subjective logic and argumentation to evaluate information from untrustworthy sources. Artif Intell Rev 48:219–235. https://doi.org/10.1007/s10462-016-9499-1
Santos F, Nunes I, Bazzan A (2017c) Supporting the development of agent-based simulations: A DSL for environment modeling. In: Proceedings of the IEEE computer software and applications conference (COMPSAC 2017). Torino, pp 170–179
Hasan MR, Bazzan ALC, Friedman E, Raja A (2016) A multiagent solution to overcome selfish routing in transportation networks. In: 2016 IEEE 19th international conference on intelligent transportation systems (ITSC). pp 1850–1855
Agatz N, Bazzan ALC, Kutadinata R, et al (2016) Autonomous car and ride sharing: Flexible road trains (vision paper). In: Proceedings of the 24th ACM SIGSPATIAL international conference on advances in geographic information systems. ACM, New York, NY, USA, pp 10:1–10:4
Bazzan ALC, Grunitzki R (2016) A multiagent reinforcement learning approach to en-route trip building. In: 2016 international joint conference on neural networks (IJCNN). pp 5288–5295
Grunitzki R, Bazzan ALC (2016) Combining car-to-infrastructure communication and multi-agent reinforcement learning in route choice. In: Bazzan ALC, Klügl F, Ossowski S, Vizzari G (eds) Proceedings of the ninth workshop on agents in traffic and transportation (ATT-2016). CEUR-WS.org, New York
Prado SD, Dahmen SR, Bazzan ALC, et al (2016) Temporal analysis of literary texts. Advances in Complex Systems 19:1–19
Ramos G de O, Bazzan ALC (2016a) Efficient local search in traffic assignment. In: 2016 IEEE congress on evolutionary computation (CEC). IEEE, Vancouver, pp 1493–1500
Ramos G de O, Bazzan ALC (2016b) On estimating action regret and learning from it in route choice. In: Bazzan ALC, Klügl F, Ossowski S, Vizzari G (eds) Proceedings of the ninth workshop on agents in traffic and transportation (ATT-2016). CEUR-WS.org, New York, pp 1–8
Recamonde-Mendoza M, Bazzan ALC (2016a) Social choice in distributed classification tasks: Dealing with vertically partitioned data. Information Sciences 332:56–71. https://doi.org/10.1016/j.ins.2015.11.001
Recamonde-Mendoza M, Bazzan ALC (2016b) Social choice in distributed classification tasks: Dealing with vertically partitioned data. Information Sciences 332:56–71. https://doi.org/10.1016/j.ins.2015.11.001
Ruiz-Padillo A, de Oliveira TBF, Alves M, et al (2016) Social choice functions: A tool for ranking variables involved in action plans against road noise. Journal of environmental management 178:1–10. https://doi.org/10.1016/j.jenvman.2016.04.038
Souza M, Bazzan A, Ritt M (2016a) Estimando o impacto dos veículos elétricos no tráfego urbano. In: 12o salão latino-americano de veículos elétricos
Souza M, Ritt M, Bazzan ALC (2016b) A bi-objective method of traffic assignment for electric vehicles. In: Proc. Of the IEEE 19th international conference on intelligent transportation systems (ITSC). IEEE, pp 2319–2324
Stefanello F, Bazzan ALC (2016) Traffic assignment problem - extending braess paradox. Universidade Federal do Rio Grande do Sul, Porto Alegre, RS
Stefanello F, Silva BC da, Bazzan ALC (2016) Using topological statistics to bias and accelerate route choice: Preliminary findings in synthetic and real-world road networks. In: Proceedings of ninth international workshop on agents in traffic and transportation. New York, USA, pp 1–8
Bazzan ALC, Chira C (2015) Hybrid evolutionary and reinforcement learning approach to accelerate traffic assignment (extended abstract). In: Bordini R, Elkind E, Weiss G, Yolum P (eds) Proceedings of the 14th international conference on autonomous agents and multiagent systems (AAMAS 2015). IFAAMAS, pp 1723–1724
Abdoos M, Mozayani N, Bazzan ALC (2015) Towards reinforcement learning for holonic multi-agent systems. Intell Data Anal 19:211–232. https://doi.org/10.3233/IDA-150714
Batista R de A, Bazzan ALC (2015) Identification of central points in road networks using betweenness centrality combined with traffic demand. Polibits 52:85–91
Bazzan ALC, Ramos G de O (2015) Forming coalitions of electric vehicles in constrained scenarios. In: Bajo J, Hallenborg K, Pawlewski P, et al. (eds) Highlights of practical applications of agents, multi-agent systems, and sustainability - the PAAMS collection. Springer International Publishing, pp 237–248
Cagara D, Scheuermann B, Bazzan ALC (2015) Traffic optimization on islands. In: 7th IEEE vehicular networking conference (VNC 2015). IEEE, Kyoto, Japan, pp 175–182
Chira C, Bazzan ALC (2015) Route assignment using multi-objective evolutionary search. In: Proceedings of the IEEE intelligent computer communication and processing (ICCP 2015). IEEE, pp 141–148
Chira C, Bazzan ALC, Rossetti RJF (2015) Multi-objective evolutionary traffic assignment. In: Proceedings of the 18th IEEE annual conference on intelligent transport systems (ITSC 2015). IEEE, pp 1177–1182
Hasan MR, Raja A, Bazzan ALC (2015) Fast convention formation in dynamic networks using topological knowledge. In: Bonet B, Koenig S (eds) Proceedings of the twenty-ninth AAAI conference on artificial intelligence. AAAI Press, Austin, pp 2067–2073
Ramos G de O, Burguillo JC, Bazzan ALC (2015) A self-adapting similarity-based coalition formation approach for plug-in electric vehicles in smart grids. Multiagent and Grid Systems 11:167–187. https://doi.org/10.3233/MGS-150235
Ramos G de O, Bazzan ALC (2015) Towards the user equilibrium in traffic assignment using GRASP with path relinking. In: Proceedings of the 2015 on genetic and evolutionary computation conference. ACM, New York, NY, USA, pp 473–480
Souza M de, Koster A, Bazzan ALC (2015) Technical description of an agent-based model for testing the effect of communication, trust and belief revision methods in a collaborative traffic scenario
Xiong Y, Gan J, An B, et al (2015) Optimal electric vehicle charging station placement. In: Yang Q, Wooldridge M (eds) Proceedings of the twenty-fourth international joint conference on artificial intelligence, IJCAI. AAAI Press, Buenos Aires, pp 2662–2668
Grunitzki R, Ramos G de O, Bazzan ALC (2014a) Individual versus difference rewards on reinforcement learning for route choice. In: Intelligent systems (BRACIS), 2014 brazilian conference on. pp 253–258
Abdoos M, Mozayani N, Bazzan ALC (2014) Hierarchical control of traffic signals using Q-learning with tile coding. Appl Intell 40:201–213. https://doi.org/10.1007/s10489-013-0455-3
Aching JL, Oliveira TBF de, Bazzan ALC (2014) Traffic information extraction from a blogging platform using knowledge-based approaches and bootstrapping. In: Computational intelligence in vehicles and transportation systems (CIVTS), 2014 IEEE symposium on. IEEE, Orlando, pp 6–13
Bazzan ALC (2014a) Beyond reinforcement learning and local view in multiagent systems. Künstliche Intelligenz (KI) 28:179–189. https://doi.org/10.1007/s13218-014-0312-5
Bazzan ALC (2014b) Descoberta de padrões em sistemas urbanos complexos. SBC, pp 88–99
Bazzan ALC (2014c) Learning-based traffic assignment: How heterogeneity in route choices pays off. In: Klügl F, Vokrinek J, Vizzari G (eds) Proceedings of the 8th international workshop on agents in traffic and transportation (ATT-2014)
Bazzan ALC, Cagara D, Scheuermann B (2014) An evolutionary approach to traffic assignment. In: 2014 IEEE symposium on computational intelligence in vehicles and transportation systems (CIVTS). IEEE, pp 43–50
Bazzan ALC, Klügl F (2014) A review on agent-based technology for traffic and transportation. The Knowledge Engineering Review 29:375–403. https://doi.org/10.1017/S0269888913000118
Cagara D, Bazzan ALC, Scheuermann B (2014) Getting you faster to work: A genetic algorithm approach to the traffic assignment problem. In: Proceedings of the 16th annual conference on genetic and evolutionary computation (companion). ACM, pp 105–106
Grunitzki R, Ramos G de O, Bazzan ALC (2014b) Uma ferramenta para alocação de tráfego e aprendizagem de rotas em redes viárias. In: Anais do XXVIII congresso de pequisa e ensino em transportes (ANPET 2014)
Koster A, Koch F, Bazzan ALC (2014) Incentivising crowdsourced parking solutions. In: Nin J, Villatoro D (eds) Citizen in sensor networks. Springer International Publishing, pp 36–43
Pasin M, Perini FS, Bazzan ALC (2014) Infaestrutura autonômica distribuída como suporte para aplicações com demanda elástica. iSys – Revista Brasileira de Sistemas de Informação 6:99–135
Pereira FC, Bazzan ALC, Ben-Akiva M (2014) The role of context in transport prediction. IEEE Intelligent Systems Magazine 29:76–80
Ramos G de O, Burguillo JC, Bazzan ALC (2014a) Dynamic constrained coalition formation among electric vehicles. Journal of the Brazilian Computer Society 20:1–15. https://doi.org/10.1186/1678-4804-20-8
Ramos G de O, Grunitzki R, Bazzan ALC (2014b) On improving route choice through learning automata. In: Proceedings of the fifth international workshop on collaborative agents – research & development (CARE 2014). pp 1–12
Tavares AR, Bazzan AL (2014) An agent-based approach for road pricing: System-level performance and implications for drivers. Journal of the Brazilian Computer Society 20:15
Mendoza MR, Fonseca GC da, Loss-Morais G, et al (2013) RFMirTarget: Predicting Human MicroRNA Target Genes with a Random Forest Classifier. PLoS ONE 8:e70153. https://doi.org/10.1371/journal.pone.0070153
Levit V, Grinshpoun T, Meisels A, Bazzan ALC (2013) Taxation search in Boolean games. In: Ito T, Jonker C, Gini M, Shehory O (eds) Proc. Of the 12th int. Joint conf. On autonomous agents and multiagent systems. IFAAMAS, St. Paul, MN, pp 183–190
Abdoos M, Mozayani N, Bazzan ALC (2013) Holonic multi-agent system for traffic signals control. Engineering Applications of Artificial Intelligence 26:1575–1587. https://doi.org/10.1016/j.engappai.2013.01.007
Bazzan ALC (2013a) Cooperative induction of decision trees. In: 2013 IEEE symposium on intelligent agents (IA). pp 62–69
Bazzan ALC (2013b) Comparing reinforcement learning and evolutionary based adaptation in population games. In: Liò P, Miglino O, Nicosia G, et al. (eds) Advances in artificial life, ECAL 2013. MIT Press, Cambridge, MA, pp 909–916
Bazzan ALC (2013c) LabTrans – laboratório computacional para simulação e testes de políticas relativas à mobilidade em sistemas inteligentes de transportes. In: Anais do primeiro encontro do fundo setorial de pesquisa em transportes terrestres e hidroviários. ANPET, Belém, pp 324–341
Bazzan ALC (2013d) Paying the price of learning independently in route choice. In: Correia L, Reis LP, Cascalho J (eds) Progress in artificial intelligence. Springer, pp 42–53
Bazzan ALC, Araújo PG, Galafassi C, et al (2013) Smart drivers: Simulating the benefits of giving twitter information about traffic status. In: Proc. Of the brazilian computing society (SBC) conference. SBC, pp 249–259
Bazzan ALC, Klügl F (2013) Introduction to intelligent systems in traffic and transportation. Morgan and Claypool
Cagara D, Scheuermann B, Bazzan ALC (2013) A methodology to evaluate the optimization potential of co-ordinated vehicular route choices. In: 1st GI/ITG KuVS Fachgespräch inter-vehicle communication (FG-IVC 2013). Innsbruck
Corrêa A, Vecchia AD, Tavares AR, et al (2013) Epicenter team description paper. In: Anais da XI competição brasileira de robótica (CBR 2013). Fortaleza, CE, Brazil, pp 1–6
Epstein D, Bazzan ALC (2013a) Distributed coalition structure generation with positive and negative externalities. In: Correia L, Reis LP, Cascalho J (eds) Progress in artificial intelligence. Springer, pp 408–419
Epstein D, Bazzan ALC (2013b) The value of less connected agents in Boolean networks. Physica A: Statistical Mechanics and its Applications 392: https://doi.org/10.1016/j.physa.2013.07.004
Galafassi C, Bazzan ALC (2013) Analysis of traffic behavior in regular grid and real world networks. In: The fifth international workshop on emergent intelligence on networked agents (WEIN)
Koster A, Souza LHD, Bazzan ALC (2013a) Malicious communication in VANETs - lessons learned in microsimulation of traffic. In: Anais do x encontro nacional de inteligência artificial e computacional (ENIAC)
Koster A, Ramos G de O, Bazzan ALC, Koch F (2013b) Towards a platform for testing and developing privacy-preserving data mining applications for smart grids. In: Klusch M, Thimm M, Paprzycki M (eds) Multiagent system technologies. Springer, pp 292–305
Koster A, Tettamanzi A, Bazzan ALC, Pereira C da C (2013c) Using trust and possibilistic reasoning to deal with untrustworthy communication in VANETs. In: Proceedings of the 16th IEEE annual conference on intelligent transport systems (IEEE-ITSC). IEEE, The Hague, The Netherlands, pp 2355–2360
Mendoza MR, Bazzan ALC (2013) The wisdom of crowds in bioinformatics: What can we learn (and gain) from ensemble predictions? In: Proceedings of the twenty-seventh AAAI conference on artificial intelligence, july 14-18, 2013, bellevue, washington, USA. pp 1678–1679
Ramos G de O, Burguillo JC, Bazzan ALC (2013) Self-adapting coalition formation among electric vehicles in smart grids. In: 2013 IEEE 7th international conference on self-adaptive and self-organizing systems (SASO). IEEE, Philadelphia, USA, pp 11–20
Tavares AR, Bazzan ALC (2013) Networked malicious agents in transportation systems: A simulation study. In: The fifth international workshop on emergent intelligence on networked agents (WEIN)
Amarante M de B do, Bazzan ALC (2012a) Um processo para avaliação de balanceamento de carga em redes de transporte veicular utilizando adaptação heurística. In: Anais do VIII simpósio brasileiro de sistemas de informação. SBC, São Paulo, Brasil, pp 73–78
Bazzan ALC (2012a) Lessons learned from one decade of developing agent-based tools for traffic modeling, simulation, and control: How to make cities smarter. In: Braz. Symp. On information systems (SBSI). SBC, pp 67–72
Amarante M de B do, Bazzan ALC (2012b) Agent-based simulation of mobility in real-world transportation networks: Effects of acquiring information and replanning en-route. In: Proceedings of the 11th international joint conference on autonomous agents and multiagent systems (AAMAS-2012). Valencia, Spain, pp 1351–1352
Bazzan ALC (2012b) Co-evolution of the dynamics in population games: The case of traffic flow assignment. In: Proceedings of the 14th annual conference on genetic and evolutionary computation (companion). ACM, New York, NY, USA
Bazzan ALC (2012c) Coordinating many agents in stochastic games. In: The 2012 international joint conference on neural networks (IJCNN). Brisbane, pp 1–8
Bazzan ALC (2012d) Orchestrating multiagent learning of penalty games. In: al. LNB et (ed) Advances in artificial intelligence, SBIA 2012. Springer, pp 142–151
Bazzan ALC (2012e) Replicator dynamics of an assignment game. In: Balsa J, Fuentes-Fernández R (eds) Proceedings of 8th ibero-american workshop on multi-agent systems (IBERAGENTS 2012). Cartagena de Indias, Colombia, pp 41–50
Bazzan ALC, Amarante M de B do, Costa FB da (2012) Management of demand and routing in autonomous personal transportation. Journal of Intelligent Transportation Systems 16:1–11. https://doi.org/10.1080/15472450.2012.639635
Bazzan ALC, Argenta VF (2012) Evolving networks promotes cooperation in public goods games. Advances in Complex Systems 15:1–21
Bazzan ALC, Azzi GG (2012) An investigation on the use of navigation devices in smart transportation systems. In: SBSI anais do VIII simpósio brasileiro de sistemas de informação. SBC, São Paulo/SP, Brasil, pp 156–161
Bianchi R, Bazzan ALC (2012) Combining independent and joint learning: A negotiation based approach. In: Proceedings of the eleventh international conference on autonomous agents and multiagent systems (AAMAS 2012). IFAAMAS, Valencia, pp 1395–1396
Epstein D, Bazzan ALC, Machado AM (2012) Break with agents who listen to too many others (at least when making Boolean decisions!). In: Proceedings of the eleventh international conference on autonomous agents and multiagent systems (AAMAS 2012). pp 1389–1390
Jaques P, Pasin M, Chiwiacowsky LD, et al (2012) Provendo informações para atores do sistema de transporte público: Um passo na direção de sistemas inteligentes de transporte. In: XXVI ANPET - congresso de pesquisa e ensino em transportes. ANPET, Joinville, SC
Klügl F, Bazzan ALC (2012) Agent-based modeling and simulation. AI Magazine 33:29–40
Mendoza MR, Bazzan ALC (2012) On the ensemble prediction of gene regulatory networks: A comparative study. In: Proceedings of the 2012 brazilian symposium on neural networks. IEEE Computer Society, pp 55–60
Mendoza MR, Fonseca GC da, Loss-Morais G, et al (2012a) RFMirTarget: A Random Forest classifier for human miRNA target gene prediction. In: Souto MC, Kann MG (eds) Advances in bioinformatics and computational biology. Springer, Berlin Heidelberg, pp 97–108
Mendoza MR, Lopes FM, Bazzan ALC (2012b) Reverse engineering of GRNs: An evolutionary approach based on the Tsallis entropy. In: Proceedings of the 14th annual conference on genetic and evolutionary computation. ACM, New York, NY, USA, pp 185–192
Mendoza MR, Werhli AV, Bazzan ALC (2012c) An epsilon-greedy mutation operator based on prior knowledge for GA convergence and accuracy improvement: An application to networks inference. In: Proceedings of the 2012 brazilian symposium on neural networks. IEEE Computer Society, pp 67–72
Pasin M, Perini FS, Bazzan ALC (2012) Self-management as support to an advanced traveler information system. In: VIII simpósio brasileiro de sistemas de informação, (SBSI 2012). Sociedade Brasileira de Computação, São Paulo
Ramos G de O, Bazzan ALC (2012a) Reducing the search space of coalition structures based on smart GridsD́omain information. In: Balsa J, Fuentes-Fernández R (eds) Proceedings of 8th ibero-american workshop on multi-agent systems (IBERAGENTS 2012). Cartagena de Indias, Colombia, pp 1–11
Ramos G de O, Bazzan ALC (2012b) Reduction of coalition structure’s search space based on domain information: An application in smart grids. In: 2012 third brazilian workshop on social simulation (BWSS). Curitiba, Brasil, pp 112–119
Santos DS dos, Bazzan ALC (2012) Distributed clustering for group formation and task allocation in multiagent systems: A swarm intelligence approach. Appl Soft Comput 12:2123–2131
Tavares AR, Bazzan ALC (2012a) A multiagent based road pricing approach for urban traffic management. In: Third brazilian workshop on social simulation. pp 99–105
Tavares AR, Bazzan ALC (2012b) Independent learners in abstract traffic scenarios. Revista de Informática Teórica e Aplicada 19:13–33
Tavares AR, Bazzan ALC (2012c) Reinforcement learning for route choice in an abstract traffic scenario. In: VI workshop-escola de sistemas de agentes, seus ambientes e aplicações (WESAAC). pp 141–153
Abdoos M, Mozayani N, Bazzan ALC (2011) Traffic light control in non-stationary environments based on multi agent Q-learning. In: Proc. Of the 14th international IEEE conference on intelligent transportation systems. IEEE, pp 1580–1585
Bazzan ALC, Amarante M de B do, Azzi GG, et al (2011a) Extending traffic simulation based on cellular automata: From particles to autonomous agents. In: Burczynski T, Kolodziej J, Byrski A, Carvalho M (eds) Proc. Of the agent-based simulation (ABS / ECMS 2011). ECMS, Krakow, pp 91–97
Bazzan ALC, Argenta V (2011) Network of collaboration among PC members of brazilian computer science conferences. Journal of the Brazilian Computer Society 17:133–139. https://doi.org/10.1007/s13173-011-0033-7
Bazzan ALC, Peleteiro A, Burguillo J (2011b) Learning to cooperate in the iterated prisoner’s dilemma by means of social attachments. Journal of the Brazilian Computer Society 17:163–174. https://doi.org/10.1007/s13173-011-0038-2
Epstein D, Bazzan ALC (2011a) Dealing with coalition formation in the RoboCup Rescue: An heuristic approach. In: Filipe J, Fred ALN (eds) Proc. Of the 3rd international conference on agents and artificial intelligence. Roma, pp 717–720
Epstein D, Bazzan ALC (2011b) Decision making using random Boolean networks in the El Farol Bar Problem. In: Burczynski T, Kolodziej J, Byrski A, Carvalho M (eds) Proc. Of the agent-based simulation (ABS / ECMS). ECMS, Krakow
Heinen MR, Bazzan ALC, Engel PM (2011) Dealing with continuous-state reinforcement learning for intelligent control of traffic signals. In: Proceedings of the 14th international IEEE conference on intelligent transportation systems (ITSC). IEEE Computer Society, Washington, DC, USA, pp 890–895
Lorenzi F, Bazzan ALC, Abel M, Ricci F (2011) Improving recommendations through an assumption-based multiagent approach: An application in the tourism domain. Expert Systems with Applications 38:14703–14714. https://doi.org/10.1016/j.eswa.2011.05.010
Machado AM, Bazzan ALC (2011) Self-adaptation in a network of social drivers: Using random Boolean networks. In: Müller-Schloer C, Schmeck H, Ungerer T (eds) Proc. Of the workshop on organic computing (OC 11). ACM, pp 33–40
Mendoza MR, Bazzan ALC (2011a) A study on the effects of reputation-based decision on the dynamics of public goods game with punishment, signaling and gossiping mechanisms. In: Anais do XXXI congresso da sociedade brasileira de computação - VIII encontro nacional de inteligência artificial. pp 500–511
Mendoza MR, Bazzan ALC (2011b) Evolving random Boolean networks with genetic algorithms for regulatory networks reconstruction. In: Proceedings of the 13th annual conference on genetic and evolutionary computation. ACM, New York, NY, USA, pp 291–298
Pasin M, Bazzan ALC, Perini FS (2011) Towards a self-managed distributed infrastructure to an advanced traveler information system. In: AutoSoft 2011. São Paulo
Santos F dos, Bazzan ALC (2011) Towards efficient multiagent task allocation in the RoboCup rescue: A biologically-inspired approach. Autonomous Agents and Multi-Agent Systems 22:465–486
Ferreira PR Jr., Santos F dos, Bazzan ALC, et al (2010) Robocup rescue as multiagent task allocation among teams: Experiments with task interdependencies. jaamas 20:421–443
Lorenzi F, Ricci F, Abel M, Bazzan A (2010) Assumption-based reasoning for multiagent case-based recommender systems. In: Hans W. Guesgen RCM (ed) Proceedings of the florida artificial intelligence (FLAIRS 2010). pp 342–347
Santos DS dos, Bazzan ALC (2010) Distributed clustering for group formation and task allocation. In: Hoek W van der, Kaminka GA, Lespérance Y, et al. (eds) Proceedings of the ninth international conference on autonomous agents and multi-agent systems. IFAAMAS: International Foundation for Autonomous Agents and Multiagent Systems, Toronto, pp 1429–1430
Bazzan ALC (2010a) IA multiagente: Mais inteligência, mais desafios. In: Meira W Jr., Carvalho ACPLF de (eds) Atualizações em informática 2010. PUC-Rio, Rio de Janeiro, pp 111–159
Bazzan ALC, Amarante M de B do, Sommer T, Benavides AJ (2010a) ITSUMO: An agent-based simulator for ITS applications. In: Rossetti R, Liu H, Tang S (eds) Proc. Of the 4th workshop on artificial transportation systems and simulation. IEEE
Bazzan ALC, Dahmen SR (2010) Bribe and punishment: Effects of signaling, gossiping, and bribery in public goods games. Advances in Complex Systems 13:755–771
Bazzan ALC, Oliveira D de, Silva BC da (2010b) Learning in groups of traffic signals. Eng Applications of Art Intelligence 23:560–568
Bazzan ALC (2010b) Sistemas multiagentes: Introdução e aplicações em simulação e controle de tráfego e simulação de situações de emergência. Revista de Sistemas de Informação da FSMA 6:12–41
Ferreira PR Jr., Bazzan ALC (2010) Action selection and sequencing in multiagent systems: An approximate algorithm based on swarm intelligence. In: Proceedings of the 22th international conference on tools with artificial intelligence. IEEE
Peleteiro A, Burguillo JC, Bazzan ALC (2010) Enhancing cooperation in the IPD with learning and coalitions. In: Proc. Of the 2nd brazilian workshop on social simulation. SBC, S. Bernardo do Campo
Waskow SJ, Bazzan ALC (2010) Improving space representation in multiagent learning via tile coding. In: Costa ACR, Vicari RM, Tonidandel F (eds) Advances in artificial intelligence – SBIA 2010. Springer, pp 153–162
Santos F dos, Bazzan ALC (2009a) EXtreme-ants: Ant based algorithm for task allocation in extreme teams. In: Jennings NR, Rogers A, Aguilar JAR, et al. (eds) Proceedings of the second international workshop on optimisation in multi-agent systems. Budapest, Hungary, pp 1–8
Bazzan ALC (2009a) Agents and data mining in bioinformatics: Joining data gathering and automatic annotation with classification and distributed clustering. In: Cao L (ed) Proc. Of the workshop on agents and data mining interaction. Springer, Berlin, pp 3–20
Bazzan ALC (2009b) Joint learning in stochastic games: Playing coordination games within coalitions. In: Proc. Of the adaptive learning agents (ALA 2009)
Bazzan ALC (2009c) Opportunities for multiagent systems and multiagent reinforcement learning in traffic control. Autonomous Agents and Multiagent Systems 18:342–375. https://doi.org/10.1007/s10458-008-9062-9
Bazzan ALC, Klügl F (2009) Multi-agent systems for traffic and transportation. IGI Global, Hershey, PA
Bazzan ALC, Nagel K, Klügl F (2009) Integrating MATSim and ITSUMO for daily replanning under congestion. In: Proceedings of the 35th latin-american informatics conference, CLEI. Pelotas, Brazil
Ferreira PR Jr., Bazzan ALC (2009) Distributed task scheduling using a swarm intelligence approach. In: Proceedings of the 7th brazilian meeting on artificial intelligence. SBC, pp 979–988
Lorenzi F, Bazzan ALC, Abel M (2009) Multiagent truth maintenance applied to a tourism recommender system. In: Sharda N (ed) In tourism informatics: Visual travel recommender systems, social communities and user interface design. Information Science Reference
Oliveira D de, Bazzan ALC (2009) Multiagent learning on traffic lights control: Effects of using shared information. In: Bazzan ALC, Klügl F (eds) Multi-agent systems for traffic and transportation. IGI Global, Hershey, PA, pp 307–321
Santos CT dos, Bazzan ALC, Lemke N (2009a) Automatic classification of enzyme family in protein annotation. In: Guimarães KS, Panchenko A, Przytycka TM (eds) Proc. Of the brazilian symposium on bioinformatics 2009. Springer, Berlin Heidelberg, pp 86–96
Santos DS dos, Bazzan ALC (2009b) Distributed clustering: An application on bioinformatics. In: Proceedings of the 35th latin-american informatics conference, CLEI. Pelotas, Brazil
Santos DS dos, Bazzan ALC (2009c) A biologically-inspired distributed clustering algorithm. In: Proc. Of the 2009 IEEE swarm intelligence symposium. IEEE, Nashville, pp 160–167
Santos DS dos, Bazzan ALC (2009d) Aplicações de agrupamento distribuido baseado em inteligência de enxames em sistemas multiagente. In: Anais do VII encontro nacional de inteligência artificial (ENIA). SBC, pp 999–1008
Santos DS dos, Oliveira D de, Bazzan ALC (2009b) A multiagent, multiobjective clustering algorithm. In: Cao L (ed) Data mining and multiagent integration. Springer
Santos F dos, Bazzan ALC (2009e) Alocação eficiente de tarefas em sistemas multiagente dinâmicos e de larga escala. In: Anais do VII encontro nacional de inteligência artificial (ENIA). SBC, pp 989–998
Santos F dos, Bazzan ALC (2009f) Ant based multiagent algorithm for task allocation in large scale and dynamic scenarios. In: Proceedings of the 11th annual conference on genetic and evolutionary computation (GECCO-09). ACM Press, New York, NY, USA, pp 73–80
Santos F dos, Bazzan ALC (2009g) Ant-based task allocation among teams. In: Decker K, Sichman J, Sierra C, Castelfranchi C (eds) Proceedings of the 8th int. Joint conf. On autonomous agents and multiagent systems. Budapest, Hungary, pp 1183–1184
Waskow SJ, Bazzan ALC (2009) Reinforcement learning methods: Generalizing joint tasks. In: Proceedings of the 35th latin-american informatics conference, CLEI. Pelotas, Brazil
Bazzan ALC, Dahmen SR, Baraviera A (2008a) Simulating the effects of sanction for the emergence of cooperation in a public goods game. In: aamas08eds (ed) Proc. Of the 7th international joint conference on autonomous agents and multi-agent systems. IFAAMAS, pp 1473–1476
Junges R, Bazzan ALC (2008) Evaluating the performance of DCOP algorithms in a real world, dynamic problem. In: aamas08eds (ed) Proc. Of the 7th int. Joint conf. On aut. Agents and multiagent systems. IFAAMAS, pp 599–606
Bazzan ALC, Klügl F (2008) Re-routing agents in an abstract traffic scenario. In: Zaverucha G, Costa AL da (eds) Advances in artificial intelligence. Springer, Berlin, pp 63–72
Bazzan ALC, Oliveira D de, Klügl F, Nagel K (2008b) Adapt or not to adapt – consequences of adapting driver and traffic light agents. In: Tuyls K, Nowé A, Guessoum Z, Kudenko D (eds) Adaptive agents and multi-agent systems III. Springer, pp 1–14
Bazzan ALC, Silva R da, Dahmen SR, Baraviera A (2008c) Emerging cooperation in a public goods game with competition. In: Proc. Of the the 23rd annual ACM symposium on applied computing. ACM Press, pp 8–12
Ferreira PR Jr., Bazzan ALC (2008) Applying a distributed swarm-based algorithm to solve instances of the RCPSP. In: Dorigo M, Birattari M, Blum C, et al. (eds) Ant colony optimization and swarm intelligence (ANTS 2008). Springer, Brüssels, pp 399–400
Ferreira PR Jr., Boffo F, Bazzan ALC (2008) Using swarm-GAP for distributed task allocation in complex scenarios. In: Jamali N, Scerri P, Sugawara T (eds) Massively multiagent systems. Springer, Berlin, pp 107–121
Lorenzi F, Correa F, Bazzan ALC, et al (2008a) A multiagent recommender system with task-based agent specialization. In: Shehory O, Poutre HL (eds) X workshop of agent mediated electronic commerce. AAMAS
Lorenzi F, Santos F dos, Jr. PR, Bazzan ALC (2008b) Optimizing preferences within groups: A case study on travel recommendation. In: Zaverucha G (ed) Proceedings of 19th brazilian symposium on artificial intelligence. Springer, pp 103–112
Bazzan ALC, Oliveira D de, Klügl F, Nagel K (2007a) Effects of co-evolution in a complex traffic network. In: Proceedings of the AAMAS 2007 workshop on adaptive and learning agents (ALAg). Honolulu, Hawaii, pp 28–33
Bazzan ALC, Silva BC da (2007) Distributed constraint propagation for diagnosis of faults in physical processes. In: Proceedings of the 6th international joint conference on autonomous agents and multiagent systems (AAMAS 2007). pp 774–776
Ferreira PR Jr., Boffo F, Bazzan ALC (2007a) A self-organized algorithm for distributed task allocation in complex scenarios. In: Workshop on coordination and control in massively multi-agent systems (CCMMS). pp 16–30
Ferreira PR Jr., Boffo F, Bazzan ALC (2007b) A swarm based approximated algorithm to the extended generalized assignment problem (E-GAP). In: Proceedings of the 6th international joint conference on autonomous agents and multiagent systems (AAMAS). pp 1231–1233
Bazzan ALC (2007) Traffic as a complex system: Four challenges for computer science and engineering. In: Wagner FR, Granville LZ, Ishikawa E (eds) Proc. Of the XXXIV SEMISH. SBC, pp 2128–2142
Bazzan ALC, Dahmen SR (2007) Targeted search in coalition structures. In: Proceedings of the 5th european workshop on multiagent systems. pp 180–192
Bazzan ALC, Klügl F (2007) Sistemas inteligentes de transporte e tráfego: Uma abordagem de tecnologia da informação. In: Kowaltowski T, Breitman KK (eds) Anais das jornadas de atualização em informática. SBC
Bazzan ALC, Klügl F, Nagel K (2007b) Adaptation in games with many co-evolving agents. In: Neves J, Santos M, Machado J (eds) EPIA 2007. Springer, pp 195–206
Bazzan ALC, Oliveira D de, Klügl F, Nagel K (2007c) Adapt or not adapt – consequences of adapting driver and traffic light agents. In: Proceedings of the 7th adaptive learning agents and multi-agent systems symposium (ALAMAS). Springer, pp 1–14
Boffo F, Ferreira PR Jr., Bazzan ALC (2007) A comparison of algorithms for task allocation in RoboCup rescue. In: Dastani M, Bordini RH (eds) Proceedings of the 5th european workshop on multiagent systems. pp 537–548
Junges R, Bazzan ALC (2007) Modelling synchronization of traffic lights as a DCOP. In: Proceedings of the 5th european workshop on multiagent systems. pp 564–579
Lorenzi F, Bazzan ALC, Abel M (2007a) Negotiation for task allocation among agents in case-base recommender systems: A swarm-intelligence approach. In: Proceedings of the student abstract - on twenty-second AAAI conference on artificial intelligence (AAAI 2007). pp 1886–1887
Lorenzi F, Bazzan ALC, Abel M (2007b) Truth maintenance task negotiation in multiagent recommender system for tourism. In: Proceedings of the AAAI workshop on intelligent techniques for web personalization and recommender systems in e-commerce (AAAI 2007). pp 122–125
Lorenzi F, Santos DS dos, Oliveira D de, Bazzan ALC (2007c) Task allocation in case-based recommender systems: A swarm intelligence approach. In: Lin H (ed) Architectural design of multi-agent systems. Information Science Reference, pp 268–279
Oliveira D de, Bazzan ALC (2007) Swarm intelligence applied to traffic lights group formation. In: Castro Dutra I de, Choren R, Oliveira CMGM de (eds) Anais do VI encontro nacional de inteligência artificial (ENIA). SBC, pp 1003–1112
Bazzan ALC, Junges R (2006a) Traffic network equilibrium using congestion tolls: A case study. In: Bazzan ALC, Chaib-Draa B, Klüegl F, Ossowski S (eds) Proceedings of the 4th workshop on agents in traffic and transportation. pp 1–8
Bazzan ALC, Junges R (2006b) Congestion tolls as utility alignment between agent and system optimum. In: aamas06eds (ed) Proceedings of the fifth int. Joint conference on autonomous agents and multiagent systems. ACM Press, pp 126–128
Ferreira PR Jr., Bazzan ALC (2006a) Self-organization of agents to solve machine sequencing problems. In: Panait L, Sen S, Alonso E (eds) Workshop on adaptation and learning in autonomous agents and multiagent systems (ALAAMAS). pp 70–75
Ferreira PR Jr., Bazzan ALC (2006b) Swarm-GAP: A swarm based approximation algorithm for E-GAP. In: Jennings NR, Tambe M, Ishida T, Ramchurn SD (eds) First international workshop on agent technology for disaster management (ATDM). pp 49–55
Oliveira D de, Bazzan ALC (2006a) Emergence of traffic lights synchronization. In: Wolfgang Borutzky RZ Alessandra Orsoni (ed) Proceedings of the 20th european conference on modelling and simulation (ECMS 2006, ABS Track). ECMS, pp 572–577
Silva BC da, Oliveira D de, Bazzan ALC, Basso EW (2006a) Adaptive traffic control with reinforcement learning. In: Bazzan ALC, Chaib-Draa B, Klügl F, Ossowski S (eds) Proceedings of the 4th workshop on agents in traffic and transportation (at AAMAS 2006). pp 80–86
Silva BC da, Basso EW, Bazzan ALC, Engel PM (2006b) Context detection: Dealing with non-stationarity in reinforcement learning. In: Panait L, Sen S, Alonso E (eds) Proceedings of the workshop on learning and adaptation in autonomous agents and multiagent systems (held together with AAMAS 2006). pp 63–69
Silva BC da, Basso EW, Bazzan ALC, Engel PM (2006c) Improving reinforcement learning with context detection. In: aamas06eds (ed) Proceedings of the 5th international joint conference on autonomous agents and multiagent systems, AAMAS, 2006. New York, ACM Press, Hakodate, Japan, pp 811–812
Silva BC da, Junges R, Oliveira D, Bazzan ALC (2006d) ITSUMO: An intelligent transportation system for urban mobility. In: aamas06eds (ed) Proceedings of the 5th international joint conference on autonomous agents and multiagent systems, AAMAS. ACM Press, pp 1471–1472
Toyama M, Bazzan ALC, Silva R (2006) An agent-based model of pedestrian dynamics: From lane formation to auditorium evacuation. In: aamas06eds (ed) Proceedings of the 5th international joint conference on autonomous agents and multiagent systems (AAMAS 2006). ACM Press, pp 108–110
Bazzan ALC (2006) Distributed diagnosis of faults in circuits and biological systems. In: Bredeweg B, Cordier M-O, Peischl B, et al. (eds) Proceedings of 3rd workshop on model-based systems (ECAI 2006). ECAI; ECAI, pp 16–20
Bazzan ALC, Fehler M, Klügl F (2006) Learning to coordinate in a network of social drivers: The role of information. In: Tuyls K, Hoen PJ, Verbeeck K, Sen S (eds) Proceedings of the international workshop on learning and adaptation in MAS (LAMAS 2005). pp 115–128
Lorenzi F, Bazzan ALC, Abel M (2006) An architecture for a multiagent recommender system in travel recommendation scenarios. In: Felfernig A, Zanker M (eds) Proceedings of 3rd workshop on model-based systems (ECAI 2006). ECAI; ECAI, pp 88–91
Oliveira D de, Bazzan ALC, Silva BC da, et al (2006) Reinforcement learning based control of traffic lights in non-stationary environments: A case study in a microscopic simulator. In: Dunin-Keplicz B, Omicini A, Padget J (eds) Proceedings of the 4th european workshop on multi-agent systems, (EUMAS06). pp 31–42
Oliveira D, Bazzan ALC (2006b) Traffic lights control with adaptive group formation based on swarm intelligence. In: Dorigo M, Gambardella LM, Birattari M, et al. (eds) Proceedings of the 5th international workshop on ant colony optimization and swarm intelligence, ANTS 2006. Springer, Berlin, pp 520–521
Silva BC da, Basso EW, Bazzan ALC, Engel PM (2006e) Dealing with non-stationary environments using context detection. In: Cohen WW, Moore A (eds) Proceedings of the 23rd international conference on machine learning ICML. New York, ACM Press, pp 217–224
Silva R, Baraviera A, Dahmen SR, Bazzan ALC (2006f) Dynamics of a public investment game: From nearest-neighbor lattices to small-world networks. In: Bruun C (ed) Advances in artificial economics, the economy as a complex dynamic system. Springer, pp 211–233
Silva R, Bazzan ALC, Baraviera A, Dahmen SR (2006g) Emerging collective behavior of financial dynamics in a public investment game. Physica A 371:610–626
Bazzan ALC (2005) A distributed approach for coordination of traffic signal agents. Autonomous Agents and Multiagent Systems 10:131–164
Bazzan ALC, Carvalho ACPLF (2005) Multi-agent systems and machine learning facilitating genome annotation. Revista de Informatica Teórica e Aplicada 12:83–110
Bazzan ALC, Klügl F (2005a) Reducing the effects of the Braess paradox with information manipulation. In: Klügl F, Bazzan ALC, Ossowski S (eds) Applications of agent technology in traffic and transportation. Whitestein, pp 85–98
Bazzan ALC, Klügl F (2005b) Case studies on the Braess paradox: Simulating route recommendation and learning in abstract and microscopic models. Transportation Research C 13:299—319
Bazzan ALC, Santos CT dos (2005) Selection of data sets of motifs as attributes in the process of automating the annotation of proteins’ keywords in bioinformatics. In: Setubal JC, Verjovski-Almeida S (eds) Proceedings of brazilian symposium on bioinformatics (BSB). Springer, Berlin, Germany, pp 230–233
Ferreira PR Jr., Bazzan ALC (2005) Distributed meeting schedule through cooperative mediation: Analysing OptAPO’s performance in a complex scenario. In: Meisels A (ed) Proceedings of the 6th international workshop on distributed constraint reasoning (DCR). pp 101–113
Ferreira PR Jr., Oliveira D de, Bazzan ALC (2005) A swarm based approach to adapt the structural dimension of agents’ organizations. Journal of Brazilian Computer Society - JBCS - Special Issue on Agents Organizations 11:63–73
Lorenzi F, Santos D dos, Bazzan ALC (2005a) Case-based recommender system inspired by social insects. In: V encontro nacional de inteligêncnia artificial (ENIA05)
Lorenzi F, Santos DS dos, Bazzan ALC (2005b) Negotiation for task allocation among agents in case-base recommender systems: A swarm-intelligence approach. In: Aimeur E (ed) Proceedings of the workshop multi-agent information retrieval and recommender systems - nineteenth international conference on artificial intelligence (IJCAI 2005). pp 23–27
Nascimento LV, Bazzan ALC (2005) An agent-based system for re-annotation of genomes. Genet Mol Res 4:571–580
Oliveira D de, Bazzan ALC, Ferreira PR Jr., Silva BC (2005a) Coordenação dinâmica de semáforos: Dois casos de estudo. In: V encontro nacional de inteligência artificial (ENIA05). pp 761–770
Oliveira D de, Bazzan ALC, Lesser V (2005b) Using cooperative mediation to coordinate traffic lights: A case study. In: Dignum F, Dignum V, Koenig S, et al. (eds) Proceedings of the 4th international joint conference on autonomous agents and multi agent systems (AAMAS). New York, IEEE Computer Society, pp 463–470
Santos CT dos, Bazzan ALC (2005) Integrating knowledge through cooperative negotiation – a case study in bioinformatics. In: Gorodetsky V, Liu J, Skormin VA (eds) Proceedings of the international workshop on autonomous intelligent systems: Agents and data mining. Springer, pp 277–288
Santos DS dos, Oliveira D de, Lorenzi F, et al (2005) Estudo de insetos sociais e sua aplicação na solução de problemas computacionais. Universidade Federal do Rio Grande do Sul - UFRGS
Silva BC da, Bazzan ALC, Andriotti Gustavo K, Oliveira D de (2005a) ITSUMO: An intelligent transportation system for urban mobility. In: Proceedings of the optimization of urban traffic systems. Springer, Guadalajara, Mexico, pp 224–235
Silva R da, Bazzan ALC, Baraviera A, Dahmen SR (2005b) Emerging collective behavior in a simple artificial financial market. In: Dignum F, Dignum V, Koenig S, et al. (eds) Proceedings of the fourth international joint conference on autonomous agents and multiagent systems. ACM, pp 313–319
Batista GEAPA, Bazzan ALC, Monard MC (2004a) Balancing training data for automated annotation of keywords: A case study. Revista Tecnologia da Informação 3:15–20
Batista GEAPA, Monard MC, Bazzan ALC (2004b) Improving rule induction precision for automated annotation by balancing skewed data sets. In: Knowledge exploration in life science informatics: International symposium (KELSI). Springer, Milan, pp 20–32
Bazzan ALC, Fajardo BS, Nascimento LV, et al (2004) Um sistema baseado em software livre para anotação automática de genomas e proteínas. In: Anais do v workshop sobre software livre, v forum internacional de software livre (WSL2004 – FISL2004). pp 185–188
Klügl F, Bazzan ALC (2004a) Route decision behaviour in a commuting scenario. Journal of Artificial Societies and Social Simulation 7:
Klügl F, Bazzan ALC (2004b) Simulated route decision behaviour: Simple heuristics and adaptation. In: Selten R, Schreckenberg M (eds) Human behaviour and traffic networks. Springer, pp 285–304
Klügl F, Bazzan ALC (2004c) Simulation studies on adaptative route decision and the influence of information on commuter scenarios. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations 8:223–232
Oliveira D de, Ferreira PR Jr., Bazzan ALC (2004a) A swarm based approach for task allocation in dynamic agents organizations. In: Proceedings of the 3rd international joint conference on autonomous agents and multi agent systems, AAMAS. IEEE Computer Society, New York, USA, pp 1252–1253
Oliveira D de, Ferreira PR Jr., Bazzan ALC (2004b) Aplicação de abordagens baseadas na organização de colônias de insetos sociais para resoluçãoo de problemas de organização em sistemas multiagentes. Instituto de Informática, UFRGS
Oliveira D de, Ferreira PR Jr., Bazzan ALC, Klügl F (2004c) A swarm-based approach for selection of signal plans in urban scenarios. In: Proceedings of fourth international workshop on ant colony optimization and swarm intelligence - ANTS 2004. Berlin, Germany, pp 416–417
Santos CT dos, Bazzan ALC (2004) Using the A3C system for annotation of keywords - a case study. In: Proceedings of thirth brazilian workshop on bioinformatics. SBC
Silva BC, Bazzan ALC, Oliveira D, et al (2004) Desenvolvimento de um sistema livre para simulação de tráfego baseada em modelos microscópicos. In: Anais do workshop sobre software livre (WSL), v forum internacional de software livre , FISL. Soc. Bras. de Computação (SBC), Porto Alegre, RS, pp 80–87
Bazzan ALC, Cavalheiro AP (2003) Influence of social attachment in a small-world network of agents playing the iterated prisoners dilemma. In: Parsons S, Gmytrasiewicz P (eds) 5th workshop of game theoretic and decision theoretic agents. pp 17–24
Bazzan ALC, Duarte R, Pitinga AN, et al (2003) ATUCG-an agent-based environment for automatic annotation of genomes. International Journal of Cooperative Information Systems 12:241–273
Bazzan ALC, Klügl F (2003a) Learning to behave socially and avoid the Braess paradox in a commuting scenario. In: Parsons S, Gmytrasiewicz P (eds) 5th workshop on decision theoretic and game theoretic agents. pp 107–112
Bazzan ALC, Klügl F (2003b) Simulating the Braess Paradox in commuting scenarios. In: Burkhard H-D, Uthmann T, Lindemann G (eds) Modellierung und simulation menschlichen verhaltens. pp 11–19
Klügl F, Bazzan ALC, Wahle J (2003) Selection of information types based on personal utility - a testbed for traffic information markets. In: Proceedings of the second international joint conference on autonomous agents and multi-agent systems (AAMAS). ACM Press, Melbourne, Australia, pp 377–384
Oliveira D de, Almeida LB, Ferreira PR Jr., Bazzan ALC (2003) Estudo de insetos sociais e sua aplicação para organizaç ao de sistemas multiagentes. Instituto de Informática, UFRGS
Andriotti GK, Bazzan ALC (2002) An object-oriented microscopic traffic simulator. In: Proceedings of the 28th latin-american conference on informatics, CLEI. Montevideo, Uruguay
Bazzan ALC, Adamatti DF, Bordini RH (2002a) Extending the computational study of social norms with a systematic model of emotions. In: Bittencourt G, Ramalho G (eds) Advances in artificial intelligence. Springer, Berlin, pp 108–117
Bazzan ALC, Lindemann V, Lesser VL (2002b) A domain-independent diagnosis tool to adapt organizations in learning scenarios. In: Proceedings of the first international joint conference on autonomous agents and multiagent systems. ACM Press, pp 316–317
Bazzan ALC, Silva SC da, Engel PM, Schroeder LF (2002c) Automatic annotation of keywords for proteins related to mycoplasmataceae using machine learning techniques. Bioinformatics 18:S1–S9
Klügl F, Bazzan ALC (2002) Simulation of adaptive agents: Learning heuristics for route choice in a commuter scenario. In: Proceedings of the first international joint conference on autonomous agents and multi-agent systems (AAMAS). ACM Press, Bologna, Italy, pp 217–218
Rossetti RJF, Bordini RH, Bazzan ALC, et al (2002) Using BDI agents to improve driver modelling in a commuter scenario. Transportation Research Part C: Emerging Technologies 10:47–72
Schroeder LF, Bazzan ALC (2002) A multi-agent system to facilitate knowledge discovery: An application to bioinformatics. In: Proceedings of the workshop on bioinformatics and multi-agent systems (BIXMAS’2002). Bologna, Italy, pp 44–50
Schroeder LF, Bazzan ALC, Valiati J, et al (2002) A comparison between symbolic and non-symbolic machine learning techniques in automated annotation the keywords field of SWISS-PROT. In: Bazzan ALC, Carvalho ACPLF de (eds) First brazilian workshop on bioinformatics. Soc. Brasileira de Computać cão (SBC), Porto Alegre, RS, pp 80–87
Wahle J, Bazzan ALC, Klügl F (2002) The impact of real time information in a two route scenario using agent based simulation. Transportation Research Part C: Emerging Technologies 10:73–91
Bazzan ALC, Bordini RH (2001) A framework for the simulation of agents with emotions: Report on experiments with the iterated prisoners dilemma. In: Müller JP, Andre E, Sen S, Frasson C (eds) Proceedings of the fifth international conference on autonomous agents. ACM Press, Montreal, Canada, pp 292–299
Bazzan ALC (2001) Coordenação de agentes com uso de técnicas de teoria dos jogos. In: Jornada de atualização em inteligência artificial. SBC, Fortaleza, pp 3–43
Bazzan ALC, Bordini RH (2000) Evolving agents with moral sentiments in an iterated prisoners dilemma exercise. In: Game theoretic and decision theoretic agents. Boston
Bazzan ALC, Bordini RH, Andriotti GK, et al (2000a) Wayward agents in a commuting scenario (personalities in the minority game). In: Proc. Of the int. Conf. On multi-agent systems (ICMAS). IEEE Computer Science, pp 55–62
Bazzan ALC, Bordini RH, Vicari RM, Wahle J (2000b) Evolving populations of agents with personalities in the minority game. In: Ibero-american conf. Of AI and brazilian symposium of AI. Springer
Bazzan ALC, Wahle J, Bordini R (2000c) Simulating agents personalities in a commuting scenario. In: 14. ASIM - workshop on multi-agent systems and individua-based simulation
Bazzan ALC, Wahle J, Klügl F (2000d) Driving and route choice - a layered agent architecture for traffic simulation. In: 14. ASIM - workshop on multi-agent systems and individual-based simulation
Horling B, Lesser V, Vincent R, et al (2000) Diagnosis as an integral part of multi-agent adaptability. In: DARPA information survivability conference and exposition. IEEE Computer Society, South Carolina, pp 211–219
Klügl F, Wahle J, Bazzan ALC, Schreckenberg M (2000) Towards anticipatory traffic forecast – modelling of route choice behavior. In: Workshop on agents in traffic and transportation (Autonomous Agents 2000). Barcelona
Wahle J, Bazzan ALC, Bordini RH, Schreckenberg M (2000a) Adding personalities to the minority game - a commuter scenario. In: International workshop on economic dynamics from the physics point of view. Bad Honnef, Germany
Wahle J, Bazzan ALC, Bordini RH, Schreckenberg M (2000b) Human factors in a commuter scenario. In: Proceedings of the XI panamerican conference in traffic and transportation engineering
Wahle J, Bazzan ALC, Klügl F, Schreckenberg M (2000c) Anticipatory traffic forecast using multi-agent techniques. In: Traffic and granular flow. D. Helbing and H.J. Hermann and M. Schreckenberg and D. Wolf, pp 87–92
Wahle J, Bazzan ALC, Klügl F, Schreckenberg M (2000d) Decision dynamics in a traffic scenario. Physica A 287:669–681
Bazzan ALC, Bordini RH, Campbell JA (1999a) Moral sentiments in multi-agent systems. In: Intelligent agents v. Spriger-Verlag, pp 113–131
Bazzan ALC, Wahle J, Klügl F (1999b) Agents in traffic modelling - from reactive to social behavior. In: Advances in artificial intelligence. Springer, Berlin/Heidelberg, pp 303–306
Bazzan ALC, Bordini RH, Campbell JA (1998) Moral sentiments in the iterated prisoners dilemma. In: Workshop on agent theories, architecture and languages (ATAL98). Springer, Paris, pp 335–342
Bazzan ALC (1997) An evolutionary game-theoretic approach for coordination of traffic signal agents. PhD thesis, University of Karlsruhe
Bazzan ALC, Bordini RH, Campbell JA (1997) Agents with moral sentiments in an iterated prisoners dilemma exercise. In: AAAI fall symposium on socially intelligent agents
Bazzan ALC (1996) Coordination among individually-motivated agents: An evolutionary approach. In: Borges DL, Kaestner AA (eds) Advances in artificial intelligence. Springer, Heidelberg, pp 71–80
Bazzan ALC (1995) A game-theoretic approach to distributed control of traffic signals. In: Proc. Of the first int. Conf. On multi-agent systems (ICMAS). San Francisco, p 439
Bazzan ALC (1994) Traffic signals coordination based on distributed problem solving. In: Seventh IFAC/IFORS symp. On transportation systems: Theory and application of advanced technology. Tianjin, China, pp 957–962
Bazzan ALC (1993) Métodos de cálculo de diagnóstico de falhas em dispositivos físicos. In: Viccari RM (ed) Diagnóstico inteligente. Instituto de Informática, UFRGS, pp 12–36