Ana L. C. Bazzan

234 papers A* 8A 30B 12C 4Misc 6Journal 71Unranked 86

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Artificial Intelligence in Transportation: A Meta Review. SN Comput. Sci. Ana L. C. Bazzan
2026	J	`jnl`	Generalized policy improvement for efficient and robust multi-objective reinforcement learning. Auton. Agents Multi Agent Syst. Lucas N. Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva
2025	J	`jnl`	Constructing an Optimal Behavior Basis for the Option Keyboard. CoRR Lucas N. Alegre, Ana L. C. Bazzan, André Barreto, Bruno C. da Silva
2025	J	`jnl`	Endorsement Networks in the 2022 Brazilian Presidential Elections: a case study on Twitter data. J. Braz. Comput. Soc. Alejandro Dinkelberg, Breda Salenave Santana, Ana L. C. Bazzan
2024	J	`jnl`	Agents in Traffic and Transportation (ATT 2022): Revised and Extended Papers. AI Commun. Ana L. C. Bazzan, Ivana Dusparic, Marin Lujak, Giuseppe Vizzari
2024	J	`jnl`	Comparing reinforcement learning algorithms for a trip building task: A multi-objective approach using non-local information. Comput. Sci. Inf. Syst. Henrique U. Gobbi, Guilherme Dytz dos Santos, Ana L. C. Bazzan
2024	J	`jnl`	Guest editorial: Role of agents in traffic and transportation. Comput. Sci. Inf. Syst. Marin Lujak, Ana L. C. Bazzan, Ivana Dusparic, Giuseppe Vizzari
2024	J	`jnl`	Knowledge transfer in multi-objective multi-agent reinforcement learning via generalized policy improvement. Comput. Sci. Inf. Syst. Vicente Nejar de Almeida, Lucas N. Alegre, Ana L. C. Bazzan
2024	—	`conf`	Learning From Your Virtual Neighbors: a Reinforcement Learning Approach to Traffic Signal Control. ATT@ECAI Ana L. C. Bazzan, Henrique U. Gobbi
2023	—	`ch.`	"A Nova Eletricidade": Aplicações, Riscos e Tendências da IA Moderna. Escola de Computação PPGC/UFRGS 50 Anos Ana L. C. Bazzan, Anderson R. Tavares, André Grahl Pereira, Cláudio R. Jung, Jacob Scharcanski, Joel Luís Carbonera, Luís C. Lamb, Mariana Recamonde Mendoza, Thiago L. T. da Silveira, Viviane P. Moreira
2023	J	`jnl`	"A Nova Eletricidade: Aplicações, Riscos e Tendências da IA Moderna - "The New Electricity": Applications, Risks, and Trends in Current AI. CoRR Ana L. C. Bazzan, Anderson R. Tavares, André Grahl Pereira, Cláudio R. Jung, Jacob Scharcanski, Joel Luis Carbonera, Luís C. Lamb, Mariana Recamonde Mendoza, Thiago L. T. da Silveira, Viviane P. Moreira
2023	A*	`conf`	A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning. NeurIPS Florian Felten, Lucas N. Alegre, Ann Nowé, Ana L. C. Bazzan, El-Ghazali Talbi, Grégoire Danoy, Bruno C. da Silva
2023	A*	`conf`	Multi-Step Generalized Policy Improvement by Leveraging Approximate Models. NeurIPS Lucas Nunes Alegre, Ana L. C. Bazzan, Ann Nowé, Bruno C. da Silva
2023	A	`conf`	Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization. AAMAS Lucas Nunes Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva
2023	J	`jnl`	Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization. CoRR Lucas Nunes Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva
2023	J	`jnl`	Traffic optimization using a coordinated route updating mechanism. J. Intell. Transp. Syst. Di Mei, I-An Huang, Anita Raja, Mohammad Rashedul Hasan, Ana L. C. Bazzan
2022	—	`conf`	A Multiobjective Reinforcement Learning Approach to Trip Building. ATT@IJCAI Guilherme Dytz dos Santos, Ana L. C. Bazzan
2022	J	`jnl`	Identifying traffic conditions from non-traffic related sources. J. Intell. Transp. Syst. Jorge C. Chamby-Diaz, Rhuam Sena Estevam, Ana L. C. Bazzan
2022	J	`jnl`	Improving Urban Mobility: using artificial intelligence and new technologies to connect supply and demand. CoRR Ana L. C. Bazzan
2022	—	`conf`	Information upwards, recommendation downwards: reinforcement learning with hierarchy for traffic signal control. ANT/EDI40 Taylor de O. Antes, Ana L. C. Bazzan, Anderson Rocha Tavares
2022	—	`conf`	Multiagent Reinforcement Learning for Traffic Signal Control: a k-Nearest Neighbors Based Approach. ATT@IJCAI Vicente Nejar de Almeida, Ana L. C. Bazzan, Monireh Abdoos
2022	B	`conf`	On the Explainability and Expressiveness of Function Approximation Methods in RL-Based Traffic Signal Control. IJCNN Lincoln Vinicius Schreiber, Lucas Nunes Alegre, Ana L. C. Bazzan, Gabriel de Oliveira Ramos
2022	A*	`conf`	Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer. ICML Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
2022	J	`jnl`	Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer. CoRR Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
2022	J	`jnl`	Reinforcement learning in urban network traffic signal control: A systematic literature review. Expert Syst. Appl. Mohammad Noaeen, Atharva Naik, Liana Goodman, Jared Crebo, Taimoor Abrar, Zahra Shakeri Hossein Abad, Ana L. C. Bazzan, Behrouz H. Far
2022	J	`jnl`	Using Reinforcement Learning to Control Traffic Signals in a Real-World Scenario: An Approach Based on Linear Function Approximation. IEEE Trans. Intell. Transp. Syst. Lucas Nunes Alegre, Theresa Ziemke, Ana L. C. Bazzan
2021	J	`jnl`	Experience classification for transfer learning in traffic signal control. J. Supercomput. Mojtaba Norouzi, Monireh Abdoos, Ana L. C. Bazzan
2021	J	`jnl`	Hierarchical traffic signal optimization using reinforcement learning and traffic prediction with long-short term memory. Expert Syst. Appl. Monireh Abdoos, Ana L. C. Bazzan
2021	—	`conf`	Improving Traffic Signal Control With Joint-Action Reinforcement Learning. SSCI João Vitor Bruniera Labres, Ana L. C. Bazzan, Monireh Abdoos
2021	A	`conf`	Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection. AAMAS Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
2021	J	`jnl`	Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection. CoRR Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
2021	J	`jnl`	Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control. PeerJ Comput. Sci. Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
2021	J	`jnl`	Reinforcement learning vs. rule-based adaptive traffic signal control: A Fourier basis linear function approximation for traffic signal control. AI Commun. Theresa Ziemke, Lucas Nunes Alegre, Ana L. C. Bazzan
2021	J	`jnl`	Sharing diverse information gets driver agents to learn faster: an application in en route trip building. PeerJ Comput. Sci. Guilherme Dytz dos Santos, Ana L. C. Bazzan
2021	J	`jnl`	Using Car to Infrastructure Communication to Accelerate Learning in Route Choice. J. Inf. Data Manag. Guilherme Dytz dos Santos, Ana L. C. Bazzan, Arthur Prochnow Baumgardt
2020	—	`conf`	A Reinforcement Learning Approach with Fourier Basis Linear Function Approximation for Traffic Signal Control. ATT@ECAI Theresa Ziemke, Lucas Nunes Alegre, Ana L. C. Bazzan
2020	J	`jnl`	A comparative evaluation of aggregation methods for machine learning over vertically partitioned data. Expert Syst. Appl. Bernardo Trevizan, Jorge C. Chamby-Diaz, Ana L. C. Bazzan, Mariana Recamonde Mendoza
2020	—	`conf`	Detecting Communities in Networks: a Decentralized Approach Based on Multiagent Reinforcement Learning. SSCI Eduardo C. Paim, Ana L. C. Bazzan, Camelia Chira
2020	—	`conf`	Experience Sharing in a Traffic Scenario. ATT@ECAI Ana L. C. Bazzan, Franziska Klügl
2020	J	`jnl`	Gendered Networks and Communicability in Medieval Historical Narratives. Adv. Complex Syst. Sandra D. Prado, Silvio R. Dahmen, Ana L. C. Bazzan, M. Maccarron, J. Hillner
2020	J	`jnl`	How Hard is for Agents to Learn the User equilibrium? Characterizing Traffic Networks by means of Entropy. Adv. Complex Syst. Camil S. Z. Redwan, Ana L. C. Bazzan
2020	J	`jnl`	I will be there for you: clique, character centrality, and community detection in Friends. Comput. Appl. Math. Ana L. C. Bazzan
2020	J	`jnl`	Quantifying the Impact of Non-Stationarity in Reinforcement Learning-Based Traffic Signal Control. CoRR Lucas Nunes Alegre, Ana L. C. Bazzan, Bruno C. da Silva
2020	J	`jnl`	Quantitatively Assessing the Benefits of Model-driven Development in Agent-based Modeling and Simulation. CoRR Fernando dos Santos, Ingrid Nunes, Ana L. C. Bazzan
2020	J	`jnl`	Quantitatively assessing the benefits of model-driven development in agent-based modeling and simulation. Simul. Model. Pract. Theory Fernando dos Santos, Ingrid Nunes, Ana L. C. Bazzan
2020	J	`jnl`	Toll-based reinforcement learning for efficient equilibria in route choice. Knowl. Eng. Rev. Gabriel de Oliveira Ramos, Bruno C. da Silva, Roxana Radulescu, Ana L. C. Bazzan, Ann Nowé
2019	A	`conf`	A Context-aware Convention Formation Framework for Large-Scale Networks. AAMAS Mohammad Rashedul Hasan, Anita Raja, Ana L. C. Bazzan
2019	J	`jnl`	A context-aware convention formation framework for large-scale networks. Auton. Agents Multi Agent Syst. Mohammad Rashedul Hasan, Anita Raja, Ana L. C. Bazzan
2019	J	`jnl`	Aligning individual and collective welfare in complex socio-technical systems by combining metaheuristics and reinforcement learning. Eng. Appl. Artif. Intell. Ana L. C. Bazzan
2019	—	`conf`	Identifying Traffic Event Types from Twitter by Multi-Label Classification. BRACIS Jorge Cristhian Chamby-Diaz, Ana L. C. Bazzan
2019	J	`jnl`	Incentive-based search for equilibria in boolean games. Constraints An Int. J. Vadim Levit, Zohar Komarovsky, Tal Grinshpoun, Ana L. C. Bazzan, Amnon Meisels
2019	B	`conf`	Using Information from Heterogeneous Sources and Machine Learning in Intelligent Transportation Systems. ICCP Ana L. C. Bazzan, Jorge Cristhian Chamby-Diaz, Rhuam Sena Estevam, Leonardo de Abreu Schmidt, Marcia Pasin, Jorge Leonid Aching Samatelo, Matheus Vieira Lessa Ribeiro
2018	B	`conf`	Accelerating the Computation of Solutions in Resource Allocation Problems Using an Evolutionary Approach and Multiagent Reinforcement Learning. EvoApplications Ana L. C. Bazzan
2018	B	`conf`	Adaptive Incremental Gaussian Mixture Network for Non-Stationary Data Stream Classification. IJCNN Jorge C. Chamby-Diaz, Mariana Recamonde Mendoza, Ana L. C. Bazzan, Ricardo Grunitzki
2018	B	`conf`	Co-Adaptive Reinforcement Learning in Microscopic Traffic Systems. CEC Liza Lunardi Lemos, Ana L. C. Bazzan, Marcia Pasin
2018	B	`conf`	Comparing Multi-Armed Bandit Algorithms and Q-learning for Multiagent Action Selection: a Case Study in Route Choice. IJCNN Thiago Bell Felix de Oliveira, Ana L. C. Bazzan, Bruno C. da Silva, Ricardo Grunitzki
2018	J	`jnl`	I will be there for you: six friends in a clique. CoRR Ana L. C. Bazzan
2018	J	`jnl`	Model-driven agent-based simulation development: A modeling language and empirical evaluation in the adaptive traffic signal control domain. Simul. Model. Pract. Theory Fernando dos Santos, Ingrid Nunes, Ana L. C. Bazzan
2018	J	`jnl`	Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework. IEEE Trans. Intell. Transp. Syst. Yanhai Xiong, Jiarui Gan, Bo An, Chunyan Miao, Ana L. C. Bazzan
2018	J	`jnl`	Solving task allocation problem in multi Unmanned Aerial Vehicles systems using Swarm intelligence. Eng. Appl. Artif. Intell. Janaina Schwarzrock, Iulisloi Zacarias, Ana L. C. Bazzan, Ricardo Queiroz de Araujo Fernandes, Leonardo Henrique Moreira, Edison Pignaton de Freitas
2018	B	`conf`	Towards Designing Optimal Reward Functions in Multi-Agent Reinforcement Learning Problems. IJCNN Ricardo Grunitzki, Bruno Castro da Silva, Ana L. C. Bazzan
2018	—	`conf`	Tutorials at PPSN 2018. PPSN (2) Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang
2017	A	`conf`	A Flexible Approach for Designing Optimal Reward Functions. AAMAS Ricardo Grunitzki, Bruno Castro da Silva, Ana L. C. Bazzan
2017	A	`conf`	ABStractme: Modularized Environment Modeling in Agent-based Simulations. AAMAS Deividi Moreira, Fernando dos Santos, Matheus Barbieri, Ingrid Nunes, Ana L. C. Bazzan
2017	—	`ed.`	Agent Based Modelling of Urban Systems - First International Workshop, ABMUS 2016, Held in Conjunction with AAMAS, Singapore, Singapore, May 10, 2016, Revised, Selected, and Invited Papers ABMUS@AAMAS Mohammad-Reza Namazi-Rad, Lin Padgham, Pascal Perez, Kai Nagel, Ana L. C. Bazzan
2017	J	`jnl`	Community Detection in the Network of German Princes in 1225: a Case Study. CoRR Silvio R. Dahmen, Ana L. C. Bazzan, R. Gramsch
2017	—	`conf`	Comparing Two Multiagent Reinforcement Learning Approaches for the Traffic Assignment Problem. BRACIS Ricardo Grunitzki, Ana L. C. Bazzan
2017	A	`conf`	Learning to Minimise Regret in Route Choice. AAMAS Gabriel de Oliveira Ramos, Bruno Castro da Silva, Ana L. C. Bazzan
2017	J	`jnl`	Liar liar, pants on fire; or how to use subjective logic and argumentation to evaluate information from untrustworthy sources. Artif. Intell. Rev. Andrew Koster, Ana L. C. Bazzan, Marcelo de Souza
2017	A	`conf`	Model-Driven Engineering in Agent-based Modeling and Simulation: a Case Study in the Traffic Signal Control Domain. AAMAS Fernando dos Santos, Ingrid Nunes, Ana L. C. Bazzan
2017	—	`conf`	Multiagent systems and agent-based modeling and simulation. GECCO (Companion) Ana L. C. Bazzan
2017	B	`ed.`	PRIMA 2017: Principles and Practice of Multi-Agent Systems - 20th International Conference, Nice, France, October 30 - November 3, 2017, Proceedings PRIMA Bo An, Ana L. C. Bazzan, João Leite, Serena Villata, Leendert W. N. van der Torre
2017	—	`conf`	Social-Training: Ensemble Learning with Voting Aggregation for Semi-supervised Classification Tasks. BRACIS Matheus Alves, Ana L. C. Bazzan, Mariana Recamonde Mendoza
2017	—	`conf`	Supporting the Development of Agent-Based Simulations: A DSL for Environment Modeling. COMPSAC (1) Fernando dos Santos, Ingrid Nunes, Ana L. C. Bazzan
2017	—	`conf`	Synergies between evolutionary computation and multiagent reinforcement learning: the benefits of exchanging solutions. GECCO (Companion) Ana L. C. Bazzan
2017	A	`conf`	Trying to Fix Traffic: Past, Present, and Some Future Trends. AAMAS Ana L. C. Bazzan
2017	—	`conf`	Understanding the Behaviour of Learning-Based BDI Agents in the Braess' Paradox. MATES João Guilherme Faccin, Ingrid Nunes, Ana L. C. Bazzan
2016	—	`conf`	A bi-objective method of traffic assignment for electric vehicles. ITSC Marcelo de Souza, Marcus Ritt, Ana L. C. Bazzan
2016	B	`conf`	A multiagent reinforcement learning approach to en-route trip building. IJCNN Ana L. C. Bazzan, Ricardo Grunitzki
2016	—	`conf`	A multiagent solution to overcome selfish routing in transportation networks. ITSC Mohammad Rashedul Hasan, Ana L. C. Bazzan, Eliyahu Friedman, Anita Raja
2016	—	`conf`	Autonomous car and ride sharing: flexible road trains: (vision paper). SIGSPATIAL/GIS Niels A. H. Agatz, Ana L. C. Bazzan, Ronny J. Kutadinata, Dirk Christian Mattfeld, Monika Sester, Stephan Winter, Ouri Wolfson
2016	—	`conf`	Combining Car-to-Infrastructure Communication and Multi-Agent Reinforcement Learning in Route Choice. ATT@IJCAI Ricardo Grunitzki, Ana L. C. Bazzan
2016	B	`conf`	Efficient local search in traffic assignment. CEC Gabriel de Oliveira Ramos, Ana L. C. Bazzan
2016	—	`conf`	On Estimating Action Regret and Learning From It in Route Choice. ATT@IJCAI Gabriel de Oliveira Ramos, Ana L. C. Bazzan
2016	J	`jnl`	Social choice in distributed classification tasks: Dealing with vertically partitioned data. Inf. Sci. Mariana Recamonde Mendoza, Ana L. C. Bazzan
2016	J	`jnl`	Temporal Network Analysis of Literary Texts. Adv. Complex Syst. Sandra D. Prado, Silvio R. Dahmen, Ana L. C. Bazzan, Pádraig Mac Carron, Ralph Kenna
2016	J	`jnl`	Temporal Network Analysis of Literary Texts. CoRR Sandra D. Prado, Silvio R. Dahmen, Ana L. C. Bazzan, Pádraig Mac Carron, Ralph Kenna
2016	—	`conf`	Using Topological Statistics to Bias and Accelerate Route Choice: Preliminary Findings in Synthetic and Real-World Road Networks. ATT@IJCAI Fernando Stefanello, Bruno Castro da Silva, Ana L. C. Bazzan
2015	A	`conf`	A Hybrid Evolutionary and Multiagent Reinforcement Learning Approach to Accelerate the Computation of Traffic Assignment: (Extended Abstract). AAMAS Ana L. C. Bazzan, Camelia Chira
2015	J	`jnl`	A self-adapting similarity-based coalition formation approach for plug-in electric vehicles in smart grids. Multiagent Grid Syst. Gabriel de Oliveira Ramos, Juan C. Burguillo, Ana L. C. Bazzan
2015	A*	`conf`	Fast Convention Formation in Dynamic Networks Using Topological Knowledge. AAAI Mohammad Rashedul Hasan, Anita Raja, Ana L. C. Bazzan
2015	—	`conf`	Forming Coalitions of Electric Vehicles in Constrained Scenarios. PAAMS (Workshops) Ana L. C. Bazzan, Gabriel de Oliveira Ramos
2015	—	`conf`	Multi-objective Evolutionary Traffic Assignment. ITSC Camelia Chira, Ana L. C. Bazzan, Rosaldo J. F. Rossetti
2015	A*	`conf`	Optimal Electric Vehicle Charging Station Placement. IJCAI Yanhai Xiong, Jiarui Gan, Bo An, Chunyan Miao, Ana L. C. Bazzan
2015	B	`conf`	Route assignment using multi-objective evolutionary search. ICCP Camelia Chira, Ana L. C. Bazzan
2015	J	`jnl`	Towards reinforcement learning for holonic multi-agent systems. Intell. Data Anal. Monireh Abdoos, Nasser Mozayani, Ana L. C. Bazzan
2015	—	`conf`	Traffic optimization on Islands. VNC Daniel Cagara, Björn Scheuermann, Ana L. C. Bazzan
2014	J	`jnl`	A review on agent-based technology for traffic and transportation. Knowl. Eng. Rev. Ana L. C. Bazzan, Franziska Klügl
2014	—	`ed.`	Advances in Artificial Intelligence - IBERAMIA 2014 - 14th Ibero-American Conference on AI, Santiago de Chile, Chile, November 24-27, 2014, Proceedings IBERAMIA Ana L. C. Bazzan, Karim Pichara
2014	J	`jnl`	An agent-based approach for road pricing: system-level performance and implications for drivers. J. Braz. Comput. Soc. Anderson Rocha Tavares, Ana L. C. Bazzan
2014	—	`conf`	An evolutionary approach to traffic assignment. CIVTS Ana L. C. Bazzan, Daniel Cagara, Björn Scheuermann
2014	J	`jnl`	Beyond Reinforcement Learning and Local View in Multiagent Systems. Künstliche Intell. Ana L. C. Bazzan
2014	J	`jnl`	Dynamic constrained coalition formation among electric vehicles. J. Braz. Comput. Soc. Gabriel de Oliveira Ramos, Juan C. Burguillo, Ana L. C. Bazzan
2014	—	`conf`	Evolving the topology of subway networks using genetic algorithms. CIVTS Ana L. C. Bazzan, Silvio R. Dahmen
2014	—	`conf`	Getting you faster to work: a genetic algorithm approach to the traffic assignment problem. GECCO (Companion) Daniel Cagara, Ana L. C. Bazzan, Björn Scheuermann
2014	J	`jnl`	Hierarchical control of traffic signals using Q-learning with tile coding. Appl. Intell. Monireh Abdoos, Nasser Mozayani, Ana L. C. Bazzan
2014	A	`ed.`	International conference on Autonomous Agents and Multi-Agent Systems, AAMAS '14, Paris, France, May 5-9, 2014 AAMAS Ana L. C. Bazzan, Michael N. Huhns, Alessio Lomuscio, Paul Scerri
2014	—	`ed.`	Multiagent System Technologies - 12th German Conference, MATES 2014, Stuttgart, Germany, September 23-25, 2014. Proceedings MATES Jörg P. Müller, Michael Weyrich, Ana L. C. Bazzan
2014	—	`conf`	Policy and incentive designs evaluation: A social-oriented framework for Artificial Transportation Systems. ITSC Zafeiris Kokkinogenis, Nuno Monteiro, Rosaldo J. F. Rossetti, Ana L. C. Bazzan, Pedro J. R. M. Campos
2014	J	`jnl`	The Role of Context in Transport Prediction. IEEE Intell. Syst. Francisco C. Pereira, Ana L. C. Bazzan, Moshe E. Ben-Akiva
2014	—	`conf`	Traffic information extraction from a blogging platform using knowledge-based approaches and bootstrapping. CIVTS Jorge Leonid Aching Samatelo, Thiago Bell Felix de Oliveira, Ana L. C. Bazzan
2013	—	`conf`	Benefits of routing and replanning with imperfect information. IEEE IA Maicon de Brito do Amarante, Ana L. C. Bazzan
2013	—	`conf`	Comparing Reinforcement Learning and Evolutionary Based Adaptation in Population Games. ECAL Ana L. C. Bazzan
2013	—	`conf`	Cooperative induction of decision trees. IEEE IA Ana L. C. Bazzan
2013	Misc	`conf`	Distributed Coalition Structure Generation with Positive and Negative Externalities. EPIA Daniel Epstein, Ana L. C. Bazzan
2013	—	`conf`	Evolving Mechanisms in Boolean Games. MATES Cristiano Galafassi, Ana L. C. Bazzan
2013	J	`jnl`	Holonic multi-agent system for traffic signals control. Eng. Appl. Artif. Intell. Monireh Abdoos, Nasser Mozayani, Ana L. C. Bazzan
2013	—	`conf`	Incentivising Crowdsourced Parking Solutions. CitiSens Andrew Koster, Fernando Koch, Ana L. C. Bazzan
2013	J	`jnl`	Infaestrutura Autonômica Distribuída como Suporte para Aplicações com Demanda Elástica. Braz. J. Inf. Syst. Marcia Pasin, Ana L. C. Bazzan, Felipe Silvano Perini
2013	—	`book`	Introduction to Intelligent Systems in Traffic and Transportation Ana L. C. Bazzan, Franziska Klügl
2013	Misc	`conf`	Paying the Price of Learning Independently in Route Choice. EPIA Ana L. C. Bazzan
2013	—	`conf`	Self-Adapting Coalition Formation Among Electric Vehicles in Smart Grids. SASO Gabriel de Oliveira Ramos, Juan C. Burguillo-Rial, Ana L. C. Bazzan
2013	A	`conf`	Taxation search in boolean games. AAMAS Vadim Levit, Tal Grinshpoun, Amnon Meisels, Ana L. C. Bazzan
2013	—	`conf`	Towards a Platform for Testing and Developing Privacy-Preserving Data Mining Applications for Smart Grids. MATES Andrew Koster, Gabriel de Oliveira Ramos, Ana L. C. Bazzan, Fernando Koch
2013	—	`conf`	Using trust and possibilistic reasoning to deal with untrustworthy communication in VANETs. ITSC Andrew Koster, Andrea Tettamanzi, Ana L. C. Bazzan, Célia da Costa Pereira
2012	J	`jnl`	Agent-Based Modeling and Simulation. AI Mag. Franziska Klügl, Ana L. C. Bazzan
2012	A	`conf`	Agent-based simulation of mobility in real-world transportation networks: effects of acquiring information and replanning en-route. AAMAS Maicon de Brito do Amarante, Ana L. C. Bazzan
2012	—	`ed.`	Agents and Data Mining Interaction - 7th International Workshop on Agents and Data Mining Interation, ADMI 2011, Taipei, Taiwan, May 2-6, 2011, Revised Selected Papers ADMI Longbing Cao, Ana L. C. Bazzan, Andreas L. Symeonidis, Vladimir Gorodetsky, Gerhard Weiss, Philip S. Yu
2012	—	`conf`	An Epsilon-Greedy Mutation Operator Based on Prior Knowledge for GA Convergence and Accuracy Improvement: An Application to Networks Inference. SBRN Mariana Recamonde Mendoza, Adriano Velasque Werhli, Ana L. C. Bazzan
2012	—	`conf`	An Investigation on the Use of Navigation Devices in Smart Transportation Systems. SBSI Ana L. C. Bazzan, Guilherme G. Azzi
2012	A	`conf`	Break with agents who listen to too many others (at least when making Boolean decisions!). AAMAS Daniel Epstein, Ana L. C. Bazzan, André M. Machado
2012	—	`conf`	Co-evolution of the dynamics in population games: the case of traffic flow assignment. GECCO (Companion) Ana L. C. Bazzan
2012	A	`conf`	Combining independent and joint learning: a negotiation based approach. AAMAS Reinaldo A. C. Bianchi, Ana L. C. Bazzan
2012	B	`conf`	Coordinating many agents in stochastic games. IJCNN Ana L. C. Bazzan
2012	J	`jnl`	Distributed clustering for group formation and task allocation in multiagent systems: A swarm intelligence approach. Appl. Soft Comput. Daniela Scherer dos Santos, Ana L. C. Bazzan
2012	J	`jnl`	Evolving Networks promotes Cooperation in Public Goods Games. Adv. Complex Syst. Ana L. C. Bazzan, V. F. Argenta
2012	—	`conf`	Lessons learned from one decade of developing agent-based tools for traffic modeling, simulation, and control: how to make cities smarter. SBSI Ana L. C. Bazzan
2012	J	`jnl`	Management of Demand and Routing in Autonomous Personal Transportation. J. Intell. Transp. Syst. Ana L. C. Bazzan, Maicon de Brito do Amarante, Francisco Beschoren da Costa
2012	—	`conf`	On the Ensemble Prediction of Gene Regulatory Networks: A Comparative Study. SBRN Mariana Recamonde Mendoza, Ana L. C. Bazzan
2012	—	`conf`	Orchestrating Multiagent Learning of Penalty Games. SBIA Ana L. C. Bazzan
2012	—	`conf`	RFMirTarget: A Random Forest Classifier for Human miRNA Target Gene Prediction. BSB Mariana Recamonde Mendoza, Guilherme C. da Fonseca, Guilherme L. de Morais, Ronnie Alves, Ana L. C. Bazzan, Rogerio Margis
2012	—	`conf`	Self-management as Support to an Advanced Traveler Information System. SBSI Marcia Pasin, Felipe Silvano Perini, Ana L. C. Bazzan
2012	—	`conf`	Um Processo para Avaliação de Balanceamento de Carga em Redes de Transporte Veicular Utilizando Adaptação Heurística. SBSI Maicon de Brito do Amarante, Ana L. C. Bazzan
2011	—	`conf`	Dealing with Coalition Formation in the RoboCup Rescue - An Heuristic Approach. ICAART (1) Daniel Epstein, Ana L. C. Bazzan
2011	—	`conf`	Dealing with continuous-state reinforcement learning for intelligent control of traffic signals. ITSC Milton Roberto Heinen, Ana L. C. Bazzan, Paulo Martins Engel
2011	C	`conf`	Decision-Making Using Random Boolean Networks In The El Farol Bar Problem. ECMS Daniel Epstein, Ana L. C. Bazzan
2011	—	`ch.`	Emerging Cooperation in the Spatial IPD with Reinforcement Learning and Coalitions. Intelligent Decision Systems in Large-Scale Distributed Environments Ana Peleteiro, Juan C. Burguillo, Ana L. C. Bazzan
2011	C	`conf`	Extending Traffic Simulation Based On Cellular Automata: From ParticlesTo Autonomous Agents. ECMS Ana L. C. Bazzan, Maicon de Brito do Amarante, Guilherme G. Azzi, Alexander J. Benavides, Luciana S. Buriol, Leonardo F. S. Moura, Marcus Ritt, Tiago Sommer
2011	J	`jnl`	Improving recommendations through an assumption-based multiagent approach: An application in the tourism domain. Expert Syst. Appl. Fabiana Lorenzi, Ana L. C. Bazzan, Mara Abel, Francesco Ricci
2011	J	`jnl`	Learning to cooperate in the Iterated Prisoner's Dilemma by means of social attachments. J. Braz. Comput. Soc. Ana L. C. Bazzan, Ana Peleteiro-Ramallo, Juan C. Burguillo-Rial
2011	J	`jnl`	Network of collaboration among PC members of Brazilian computer science conferences. J. Braz. Comput. Soc. Ana L. C. Bazzan, V. F. Argenta
2011	—	`conf`	Self-adaptation in a network of social drivers: using random boolean networks. OC@ICAC André M. Machado, Ana L. C. Bazzan
2011	J	`jnl`	Towards efficient multiagent task allocation in the RoboCup Rescue: a biologically-inspired approach. Auton. Agents Multi Agent Syst. Fernando dos Santos, Ana L. C. Bazzan
2011	—	`conf`	Traffic light control in non-stationary environments based on multi agent Q-learning. ITSC Monireh Abdoos, Nasser Mozayani, Ana L. C. Bazzan
2010	—	`conf`	Action Selection and Sequencing in Multiagent Systems: An Approximate Algorithm Based on Swarm Intelligence. ICTAI (1) Paulo Roberto Ferreira Jr., Ana L. C. Bazzan
2010	—	`ed.`	Agents and Data Mining Interaction, 6th International Workshop on Agents and Data Mining Interaction, ADMI 2010, Toronto, ON, Canada, May 11, 2010, Revised Selected Papers ADMI Longbing Cao, Ana L. C. Bazzan, Vladimir Gorodetsky, Pericles A. Mitkas, Gerhard Weiss, Philip S. Yu
2010	Misc	`conf`	Assumption-Based Reasoning for Multiagent Case-Based Recommender Systems. FLAIRS Fabiana Lorenzi, Francesco Ricci, Mara Abel, Ana L. C. Bazzan
2010	J	`jnl`	Bribe and Punishment: Effects of Signaling, Gossiping, and Bribery in Public Goods Games. Adv. Complex Syst. Ana L. C. Bazzan, Silvio R. Dahmen
2010	A	`conf`	Distributed clustering for group formation and task allocation. AAMAS Daniela Scherer dos Santos, Ana L. C. Bazzan
2010	—	`conf`	Improving Space Representation in Multiagent Learning via Tile Coding. SBIA Samuel Justo Waskow, Ana L. C. Bazzan
2010	J	`jnl`	Learning in groups of traffic signals. Eng. Appl. Artif. Intell. Ana L. C. Bazzan, Denise de Oliveira, Bruno Castro da Silva
2010	J	`jnl`	RoboCup Rescue as multiagent task allocation among teams: experiments with task interdependencies. Auton. Agents Multi Agent Syst. Paulo Roberto Ferreira Jr., Fernando dos Santos, Ana L. C. Bazzan, Daniel Epstein, Samuel Justo Waskow
2009	—	`ch.`	A Multiagent, Multiobjective Clustering Algorithm. Data Mining and Multi-agent Integration Daniela Scherer dos Santos, Denise de Oliveira, Ana L. C. Bazzan
2009	—	`conf`	A biologically-inspired distributed clustering algorithm. SIS Daniela Scherer dos Santos, Ana L. C. Bazzan
2009	—	`conf`	Agents and Data Mining in Bioinformatics: Joining Data Gathering and Automatic Annotation with Classification and Distributed Clustering. ADMI Ana L. C. Bazzan
2009	A	`conf`	An ant based algorithm for task allocation in large-scale and dynamic multiagent scenarios. GECCO Fernando dos Santos, Ana L. C. Bazzan
2009	—	`conf`	Ant-based task allocation among teams. AAMAS (2) Fernando dos Santos, Ana L. C. Bazzan
2009	—	`conf`	Automatic Classification of Enzyme Family in Protein Annotation. BSB Cássia Trojahn dos Santos, Ana L. C. Bazzan, Ney Lemke
2009	—	`book`	Multi-Agent Systems for Traffic and Transportation Engineering. Ana L. C. Bazzan, Franziska Klügl
2009	—	`ch.`	Multiagent Learning on Traffic Lights Control. Multi-Agent Systems for Traffic and Transportation Engineering Denise de Oliveira, Ana L. C. Bazzan
2009	J	`jnl`	Opportunities for multiagent systems and multiagent reinforcement learning in traffic control. Auton. Agents Multi Agent Syst. Ana L. C. Bazzan
2008	—	`conf`	A Multiagent Recommender System with Task-Based Agent Specialization. AMEC/TADA Fabiana Lorenzi, Fabio Arreguy Camargo Correa, Ana L. C. Bazzan, Mara Abel, Francesco Ricci
2008	—	`ed.`	Advances in Bioinformatics and Computational Biology, Third Brazilian Symposium on Bioinformatics, BSB 2008, Santo André, Brazil, August 28-30, 2008. Proceedings BSB Ana L. C. Bazzan, Mark Craven, Natália Florencio Martins
2008	—	`conf`	Applying a Distributed Swarm-Based Algorithm to Solve Instances of the RCPSP. ANTS Conference Paulo Roberto Ferreira Jr., Ana L. C. Bazzan
2008	Misc	`conf`	Emerging cooperation in a public goods game with competition. SAC Ana L. C. Bazzan, Roberto da Silva, Silvio R. Dahmen, Alexandre Tavares Baraviera
2008	—	`conf`	Evaluating the performance of DCOP algorithms in a real world, dynamic problem. AAMAS (2) Robert Junges, Ana L. C. Bazzan
2008	—	`conf`	Optimizing Preferences within Groups: A Case Study on Travel Recommendation. SBIA Fabiana Lorenzi, Fernando dos Santos, Paulo Roberto Ferreira Jr., Ana L. C. Bazzan
2008	—	`conf`	Re-routing Agents in an Abstract Traffic Scenario. SBIA Ana L. C. Bazzan, Franziska Klügl
2008	—	`conf`	Simulating the effects of sanctioning for the emergence of cooperation in a public goods game. AAMAS (3) Ana L. C. Bazzan, Silvio R. Dahmen, Alexandre Tavares Baraviera
2008	Misc	`conf`	Special track on Advances in Computer Simulation (ACS): editorial message. SAC Ana L. C. Bazzan, Giuseppe Vizzari
2007	A	`conf`	A swarm based approximated algorithm to the extended generalized assignment problem (E-GAP). AAMAS Paulo Roberto Ferreira Jr., Felipe S. Boffo, Ana L. C. Bazzan
2007	—	`conf`	Adaptation in Games with Many Co-evolving Agents. EPIA Workshops Ana L. C. Bazzan, Franziska Klügl, Kai Nagel
2007	A	`conf`	Distributed constraint propagation for diagnosis of faults in physical processes. AAMAS Ana L. C. Bazzan, Bruno Castro da Silva
2007	A*	`conf`	Recommending Travel Packages Upon Distributed Knowledge. AAAI Fabiana Lorenzi, Ana L. C. Bazzan, Mara Abel
2007	—	`conf`	To Adapt or Not to Adapt - Consequences of Adapting Driver and Traffic Light Agents. Adaptive Agents and Multi-Agents Systems Ana L. C. Bazzan, Denise de Oliveira, Franziska Klügl, Kai Nagel
2006	A	`conf`	An agent-based simulation of pedestrian dynamics: from lane formation to auditorium evacuation. AAMAS Marcelo C. Toyama, Ana L. C. Bazzan, Roberto da Silva
2006	A	`conf`	Congestion tolls as utility alignment between agent and system optimum. AAMAS Ana L. C. Bazzan, Robert Junges
2006	A*	`conf`	Dealing with non-stationary environments using context detection. ICML Bruno Castro da Silva, Eduardo W. Basso, Ana L. C. Bazzan, Paulo Martins Engel
2006	A	`conf`	ITSUMO: an Intelligent Transportation System for Urban Mobility. AAMAS Bruno Castro da Silva, Robert Junges, Denise de Oliveira, Ana L. C. Bazzan
2006	A	`conf`	Improving reinforcement learning with context detection. AAMAS Bruno Castro da Silva, Eduardo W. Basso, Filipo Studzinski Perotto, Ana L. C. Bazzan, Paulo Martins Engel
2006	A*	`conf`	RL-CD: Dealing with Non-Stationarity in Reinforcement Learning. AAAI Bruno Castro da Silva, Eduardo W. Basso, Ana L. C. Bazzan, Paulo Martins Engel
2006	C	`conf`	Reinforcement Learning based Control of Traffic Lights in Non-stationary Environments: A Case Study in a Microscopic Simulator. EUMAS Denise de Oliveira, Ana L. C. Bazzan, Bruno Castro da Silva, Eduardo W. Basso, Luís Nunes
2006	—	`conf`	Traffic Lights Control with Adaptive Group Formation Based on Swarm Intelligence. ANTS Workshop Denise de Oliveira, Ana L. C. Bazzan
2006	—	`conf`	Using Swarm-GAP for Distributed Task Allocation in Complex Scenarios. MMAS/LSMAS/CCMMS Paulo Roberto Ferreira Jr., Felipe S. Boffo, Ana L. C. Bazzan
2005	J	`jnl`	A Distributed Approach for Coordination of Traffic Signal Agents. Auton. Agents Multi Agent Syst. Ana L. C. Bazzan
2005	—	`book`	Applications of Agent Technology in Traffic and Transportation Franziska Klügl, Ana L. C. Bazzan, Sascha Ossowski
2005	A	`conf`	Emerging collective behavior in a simple artificial financial market. AAMAS Roberto da Silva, Ana L. C. Bazzan, Alexandre Tavares Baraviera, Silvio R. Dahmen
2005	—	`conf`	Implicit Coordination in a Network of Social Drivers: The Role of Information in a Commuting Scenario. LAMAS Ana L. C. Bazzan, Manuel Fehler, Franziska Klügl
2005	—	`conf`	Integrating Knowledge Through Cooperative Negotiation - A Case Study in Bioinformatics. AIS-ADM Cássia Trojahn dos Santos, Ana L. C. Bazzan
2005	J	`jnl`	Multi-agent Systems and Machine Learning Facilitating Genome Annotation. RITA Ana L. C. Bazzan, André Carlos Ponce de Leon Ferreira de Carvalho
2005	—	`ch.`	Reducing the Effects of the Braess Paradox with Information Manipulation. Applications of Agent Technology in Traffic and Transportation Ana L. C. Bazzan, Franziska Klügl
2005	—	`conf`	Selection of Data Sets of Motifs as Attributes in the Process of Automating the Annotation of Proteins' Keywords. BSB Ana L. C. Bazzan, Cássia Trojahn dos Santos
2005	A	`conf`	Using cooperative mediation to coordinate traffic lights: a case study. AAMAS Denise de Oliveira, Ana L. C. Bazzan, Victor R. Lesser
2004	A	`conf`	A Case Study on the Role of Information For Implicit Coordination. AAMAS Franziska Klügl, Ana L. C. Bazzan
2004	J	`jnl`	A Distributed Approach for Coordination of Traffic Signal Agents. Auton. Agents Multi Agent Syst. Ana L. C. Bazzan
2004	A	`conf`	A Swarm Based Approach for Task Allocation in Dynamic Agents Organizations. AAMAS Denise de Oliveira, Paulo Roberto Ferreira Jr., Ana L. C. Bazzan
2004	—	`conf`	A Swarm-Based Approach for Selection of Signal Plans in Urban Scenarios. ANTS Workshop Denise de Oliveira, Paulo Roberto Ferreira Jr., Ana L. C. Bazzan, Franziska Klügl
2004	—	`ed.`	Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29 - October 1, 2004, Proceedings SBIA Ana L. C. Bazzan, Sofiane Labidi
2004	—	`conf`	An Agent-Based System for Re-annotation of Genomes. WOB Leonardo Vianna do Nascimento, Ana L. C. Bazzan
2004	—	`conf`	ITSUMO: An Intelligent Transportation System for Urban Mobility. IICS Bruno Castro da Silva, Ana L. C. Bazzan, Gustavo Kuhn Andriotti, Filipe Lopes, Denise de Oliveira
2004	—	`conf`	Improving Rule Induction Precision for Automated Annotation by Balancing Skewed Data Sets. KELSI Gustavo E. A. P. A. Batista, Maria Carolina Monard, Ana L. C. Bazzan
2004	J	`jnl`	Route Decision Behaviour in a Commuting Scenario: Simple Heuristics Adaptation and Effect of Traffic Forecast. J. Artif. Soc. Soc. Simul. Franziska Klügl, Ana L. C. Bazzan
2004	J	`jnl`	Simulation Studies on Adaptive Route Decision and the Influence of Information on Commuter Scenarios. J. Intell. Transp. Syst. Franziska Klügl, Ana L. C. Bazzan
2004	—	`conf`	Using the A3C System for Annotation of Keywords - A Case Study. WOB Cássia Trojahn dos Santos, Ana L. C. Bazzan
2003	J	`jnl`	ATUCG - An Agent-Based Environment for Automatic Annotation of Genomes. Int. J. Cooperative Inf. Syst. Ana L. C. Bazzan, Rogério Duarte, Abner N. Pitinga, Luciana F. Schroeder, Farlon De A. Souto
2003	—	`conf`	Balancing Training Data for Automated Annotation of Keywords: a Case Study. WOB Gustavo E. A. P. A. Batista, Ana L. C. Bazzan, Maria Carolina Monard
2003	A	`conf`	Selection of information types based on personal utility: a testbed for traffic information markets. AAMAS Franziska Klügl, Ana L. C. Bazzan, Joachim Wahle
2002	—	`conf`	A comparision between Symbolic and non-symbolic machine learning techniques in automated annotation of the "Keywords" field of SWISS-PROT. WOB Luciana F. Schroeder, Ana L. C. Bazzan, João Francisco Valiati, Paulo Martins Engel, Sergio Ceroni
2002	A	`conf`	A domain-independent diagnosis tool to adapt organizations in learning scenarios. AAMAS Ana L. C. Bazzan, Vanessa Lindemann, Victor R. Lesser
2002	—	`conf`	A semi-automatic Methodology for localization of Short Mitochondrial Genes in Long Sequences. WOB Rafael Santos, José Humberto Machado Tambor, Luciana Campos Paulino, Ana L. C. Bazzan
2002	A	`conf`	AgentSpeak(XL): efficient intention selection in BDI agents via decision-theoretic task scheduling. AAMAS Rafael H. Bordini, Ana L. C. Bazzan, Rafael de Oliveira Jannone, Daniel M. Basso, Rosa Maria Vicari, Victor R. Lesser
2002	C	`conf`	Automated annotation of keywords for proteins related to mycoplasmataceae using machine learning techniques. ECCB Ana L. C. Bazzan, Paulo Martins Engel, Luciana F. Schroeder, Sérgio C. da Silva
2002	—	`conf`	Creation of a Hidden Markov Model for Preliminary Identification and Characterization of Subfamily Signature in Serpin Proteins Superfamily. WOB Cristina Russo, Hermes de Amorim, Ana L. C. Bazzan, Jorge Guimarães
2002	—	`conf`	Extending the Computational Study of Social Norms with a Systematic Model of Emotions. SBIA Ana L. C. Bazzan, Diana Francisca Adamatti, Rafael H. Bordini
2002	—	`ed.`	I Brazilian Workshop on Bioinformatics, October 18th, 2002, Gramado, RS, Brazil WOB Ana L. C. Bazzan
2002	A	`conf`	Simulation of adaptive agents: learning heuristics for route choice in a commuter scenario. AAMAS Franziska Klügl, Ana L. C. Bazzan
2001	—	`conf`	A framework for the simulation of agents with emotions. Agents Ana L. C. Bazzan, Rafael H. Bordini
2000	—	`conf`	Evolving Populations of Agents with Personalities in the Minority Game. IBERAMIA-SBIA Ana L. C. Bazzan, Rafael H. Bordini, Rosa Maria Vicari, Joachim Wahle
2000	—	`conf`	Wayward Agents in a Commuting Scenario (Personalities in the Minority Game). ICMAS Ana L. C. Bazzan, Rafael H. Bordini, G. Andrioti, Rosa Maria Vicari, Joachim Wahle
1999	Misc	`conf`	Agents in Traffic Modelling - From Reactive to Social Behaviour. KI Ana L. C. Bazzan, Joachim Wahle, Franziska Klügl
1998	—	`conf`	Moral Sentiments in Multi-Agent Systems. ATAL Ana L. C. Bazzan, Rafael H. Bordini, John A. Campbell
1997	—	`—`	An evolutionary game-theoretical approach for coordination of traffic signal agents. Ana L. C. Bazzan
1996	—	`conf`	Coordination Among Individually-Motivated Agents: An Evolutionary Approach. SBIA Ana L. C. Bazzan
1996	—	`conf`	Evolution of Coordination as a Metaphor for Learning in Multi-Agent Systems. ECAI Workshop LDAIS / ICMAS Workshop LIOME Ana L. C. Bazzan