Evolution of Coordination as a Metaphor for Learning in Multi-Agent Systems. - Ana L. C. Bazzan (ECAI Workshop LDAIS / ICMAS Workshop LIOME, 1996)

Coordination Among Individually-Motivated Agents: An Evolutionary Approach. - Ana L. C. Bazzan (SBIA, 1996)

An evolutionary game-theoretical approach for coordination of traffic signal agents. - Ana L. C. Bazzan (1997)

Moral Sentiments in Multi-Agent Systems. - Ana L. C. Bazzan; Rafael H. Bordini; John A. Campbell (ATAL, 1998)

Agents in Traffic Modelling - From Reactive to Social Behaviour. - Ana L. C. Bazzan; Joachim Wahle; Franziska Klügl (KI, 1999)

Wayward Agents in a Commuting Scenario (Personalities in the Minority Game). - Ana L. C. Bazzan; Rafael H. Bordini; G. Andrioti; Rosa Maria Vicari; Joachim Wahle (ICMAS, 2000)

Evolving Populations of Agents with Personalities in the Minority Game. - Ana L. C. Bazzan; Rafael H. Bordini; Rosa Maria Vicari; Joachim Wahle (IBERAMIA-SBIA, 2000)

A framework for the simulation of agents with emotions. - Ana L. C. Bazzan; Rafael H. Bordini (Agents, 2001)

A domain-independent diagnosis tool to adapt organizations in learning scenarios. - Ana L. C. Bazzan; Vanessa Lindemann; Victor R. Lesser (AAMAS, 2002)

AgentSpeak(XL): efficient intention selection in BDI agents via decision-theoretic task scheduling. - Rafael H. Bordini; Ana L. C. Bazzan; Rafael de Oliveira Jannone; Daniel M. Basso; Rosa Maria Vicari; Victor R. Lesser (AAMAS, 2002)

Simulation of adaptive agents: learning heuristics for route choice in a commuter scenario. - Franziska Klügl; Ana L. C. Bazzan (AAMAS, 2002)

Automated annotation of keywords for proteins related to mycoplasmataceae using machine learning techniques. - Ana L. C. Bazzan; Paulo Martins Engel; Luciana F. Schroeder; Sérgio C. da Silva (ECCB, 2002)

Extending the Computational Study of Social Norms with a Systematic Model of Emotions. - Ana L. C. Bazzan; Diana Francisca Adamatti; Rafael H. Bordini (SBIA, 2002)

Creation of a Hidden Markov Model for Preliminary Identification and Characterization of Subfamily Signature in Serpin Proteins Superfamily. - Cristina Russo; Hermes de Amorim; Ana L. C. Bazzan; Jorge Guimarães (WOB, 2002)

A semi-automatic Methodology for localization of Short Mitochondrial Genes in Long Sequences. - Rafael Santos; José Humberto Machado Tambor; Luciana Campos Paulino; Ana L. C. Bazzan (WOB, 2002)

A comparision between Symbolic and non-symbolic machine learning techniques in automated annotation of the "Keywords" field of SWISS-PROT. - Luciana F. Schroeder; Ana L. C. Bazzan; João Francisco Valiati; Paulo Martins Engel; Sergio Ceroni (WOB, 2002)

Selection of information types based on personal utility: a testbed for traffic information markets. - Franziska Klügl; Ana L. C. Bazzan; Joachim Wahle (AAMAS, 2003)

Balancing Training Data for Automated Annotation of Keywords: a Case Study. - Gustavo E. A. P. A. Batista; Ana L. C. Bazzan; Maria Carolina Monard (WOB, 2003)

ATUCG - An Agent-Based Environment for Automatic Annotation of Genomes. - Ana L. C. Bazzan; Rogério Duarte; Abner N. Pitinga; Luciana F. Schroeder; Farlon De A. Souto (Int. J. Cooperative Inf. Syst., 2003)

A Swarm-Based Approach for Selection of Signal Plans in Urban Scenarios. - Denise de Oliveira; Paulo Roberto Ferreira Jr.; Ana L. C. Bazzan; Franziska Klügl (ANTS Workshop, 2004)

A Case Study on the Role of Information For Implicit Coordination. - Franziska Klügl; Ana L. C. Bazzan (AAMAS, 2004)

A Swarm Based Approach for Task Allocation in Dynamic Agents Organizations. - Denise de Oliveira; Paulo Roberto Ferreira Jr.; Ana L. C. Bazzan (AAMAS, 2004)

ITSUMO: An Intelligent Transportation System for Urban Mobility. - Bruno Castro da Silva; Ana L. C. Bazzan; Gustavo Kuhn Andriotti; Filipe Lopes; Denise de Oliveira (IICS, 2004)

Improving Rule Induction Precision for Automated Annotation by Balancing Skewed Data Sets. - Gustavo E. A. P. A. Batista; Maria Carolina Monard; Ana L. C. Bazzan (KELSI, 2004)

An Agent-Based System for Re-annotation of Genomes. - Leonardo Vianna do Nascimento; Ana L. C. Bazzan (WOB, 2004)

Using the A3C System for Annotation of Keywords - A Case Study. - Cássia Trojahn dos Santos; Ana L. C. Bazzan (WOB, 2004)

A Distributed Approach for Coordination of Traffic Signal Agents. - Ana L. C. Bazzan (Auton. Agents Multi Agent Syst., 2004)

Route Decision Behaviour in a Commuting Scenario: Simple Heuristics Adaptation and Effect of Traffic Forecast. - Franziska Klügl; Ana L. C. Bazzan (J. Artif. Soc. Soc. Simul., 2004)

Simulation Studies on Adaptive Route Decision and the Influence of Information on Commuter Scenarios. - Franziska Klügl; Ana L. C. Bazzan (J. Intell. Transp. Syst., 2004)

Reducing the Effects of the Braess Paradox with Information Manipulation. - Ana L. C. Bazzan; Franziska Klügl (Applications of Agent Technology in Traffic and Transportation, 2005)

Integrating Knowledge Through Cooperative Negotiation - A Case Study in Bioinformatics. - Cássia Trojahn dos Santos; Ana L. C. Bazzan (AIS-ADM, 2005)

Using cooperative mediation to coordinate traffic lights: a case study. - Denise de Oliveira; Ana L. C. Bazzan; Victor R. Lesser (AAMAS, 2005)

Emerging collective behavior in a simple artificial financial market. - Roberto da Silva; Ana L. C. Bazzan; Alexandre Tavares Baraviera; Silvio R. Dahmen (AAMAS, 2005)

Implicit Coordination in a Network of Social Drivers: The Role of Information in a Commuting Scenario. - Ana L. C. Bazzan; Manuel Fehler; Franziska Klügl (LAMAS, 2005)

Selection of Data Sets of Motifs as Attributes in the Process of Automating the Annotation of Proteins' Keywords. - Ana L. C. Bazzan; Cássia Trojahn dos Santos (BSB, 2005)

Multi-agent Systems and Machine Learning Facilitating Genome Annotation. - Ana L. C. Bazzan; André Carlos Ponce de Leon Ferreira de Carvalho (RITA, 2005)

RL-CD: Dealing with Non-Stationarity in Reinforcement Learning. - Bruno Castro da Silva; Eduardo W. Basso; Ana L. C. Bazzan; Paulo Martins Engel (AAAI, 2006)

Traffic Lights Control with Adaptive Group Formation Based on Swarm Intelligence. - Denise de Oliveira; Ana L. C. Bazzan (ANTS Workshop, 2006)

Congestion tolls as utility alignment between agent and system optimum. - Ana L. C. Bazzan; Robert Junges (AAMAS, 2006)

Using Swarm-GAP for Distributed Task Allocation in Complex Scenarios. - Paulo Roberto Ferreira Jr.; Felipe S. Boffo; Ana L. C. Bazzan (MMAS/LSMAS/CCMMS, 2006)

Improving reinforcement learning with context detection. - Bruno Castro da Silva; Eduardo W. Basso; Filipo Studzinski Perotto; Ana L. C. Bazzan; Paulo Martins Engel (AAMAS, 2006)

ITSUMO: an Intelligent Transportation System for Urban Mobility. - Bruno Castro da Silva; Robert Junges; Denise de Oliveira; Ana L. C. Bazzan (AAMAS, 2006)

An agent-based simulation of pedestrian dynamics: from lane formation to auditorium evacuation. - Marcelo C. Toyama; Ana L. C. Bazzan; Roberto da Silva (AAMAS, 2006)

Reinforcement Learning based Control of Traffic Lights in Non-stationary Environments: A Case Study in a Microscopic Simulator. - Denise de Oliveira; Ana L. C. Bazzan; Bruno Castro da Silva; Eduardo W. Basso; Luís Nunes (EUMAS, 2006)

Dealing with non-stationary environments using context detection. - Bruno Castro da Silva; Eduardo W. Basso; Ana L. C. Bazzan; Paulo Martins Engel (ICML, 2006)

Recommending Travel Packages Upon Distributed Knowledge. - Fabiana Lorenzi; Ana L. C. Bazzan; Mara Abel (AAAI, 2007)

To Adapt or Not to Adapt - Consequences of Adapting Driver and Traffic Light Agents. - Ana L. C. Bazzan; Denise de Oliveira; Franziska Klügl; Kai Nagel (Adaptive Agents and Multi-Agents Systems, 2007)

Distributed constraint propagation for diagnosis of faults in physical processes. - Ana L. C. Bazzan; Bruno Castro da Silva (AAMAS, 2007)

A swarm based approximated algorithm to the extended generalized assignment problem (E-GAP). - Paulo Roberto Ferreira Jr.; Felipe S. Boffo; Ana L. C. Bazzan (AAMAS, 2007)

Adaptation in Games with Many Co-evolving Agents. - Ana L. C. Bazzan; Franziska Klügl; Kai Nagel (EPIA Workshops, 2007)

A Multiagent Recommender System with Task-Based Agent Specialization. - Fabiana Lorenzi; Fabio Arreguy Camargo Correa; Ana L. C. Bazzan; Mara Abel; Francesco Ricci 001 (AMEC/TADA, 2008)

Applying a Distributed Swarm-Based Algorithm to Solve Instances of the RCPSP. - Paulo Roberto Ferreira Jr.; Ana L. C. Bazzan (ANTS Conference, 2008)

Simulating the effects of sanctioning for the emergence of cooperation in a public goods game. - Ana L. C. Bazzan; Silvio R. Dahmen; Alexandre Tavares Baraviera (AAMAS (3), 2008)

Evaluating the performance of DCOP algorithms in a real world, dynamic problem. - Robert Junges; Ana L. C. Bazzan (AAMAS (2), 2008)

Emerging cooperation in a public goods game with competition. - Ana L. C. Bazzan; Roberto da Silva; Silvio R. Dahmen; Alexandre Tavares Baraviera (SAC, 2008)

Special track on Advances in Computer Simulation (ACS): editorial message. - Ana L. C. Bazzan; Giuseppe Vizzari (SAC, 2008)

Re-routing Agents in an Abstract Traffic Scenario. - Ana L. C. Bazzan; Franziska Klügl (SBIA, 2008)

Optimizing Preferences within Groups: A Case Study on Travel Recommendation. - Fabiana Lorenzi; Fernando dos Santos; Paulo Roberto Ferreira Jr.; Ana L. C. Bazzan (SBIA, 2008)

Multiagent Learning on Traffic Lights Control. - Denise de Oliveira; Ana L. C. Bazzan (Multi-Agent Systems for Traffic and Transportation Engineering, 2009)

A Multiagent, Multiobjective Clustering Algorithm. - Daniela Scherer dos Santos; Denise de Oliveira; Ana L. C. Bazzan (Data Mining and Multi-agent Integration, 2009)

Agents and Data Mining in Bioinformatics: Joining Data Gathering and Automatic Annotation with Classification and Distributed Clustering. - Ana L. C. Bazzan (ADMI, 2009)

Ant-based task allocation among teams. - Fernando dos Santos; Ana L. C. Bazzan (AAMAS (2), 2009)

An ant based algorithm for task allocation in large-scale and dynamic multiagent scenarios. - Fernando dos Santos; Ana L. C. Bazzan (GECCO, 2009)

A biologically-inspired distributed clustering algorithm. - Daniela Scherer dos Santos; Ana L. C. Bazzan (SIS, 2009)

Automatic Classification of Enzyme Family in Protein Annotation. - Cássia Trojahn dos Santos; Ana L. C. Bazzan; Ney Lemke (BSB, 2009)

Opportunities for multiagent systems and multiagent reinforcement learning in traffic control. - Ana L. C. Bazzan (Auton. Agents Multi Agent Syst., 2009)

Distributed clustering for group formation and task allocation. - Daniela Scherer dos Santos; Ana L. C. Bazzan (AAMAS, 2010)

Assumption-Based Reasoning for Multiagent Case-Based Recommender Systems. - Fabiana Lorenzi; Francesco Ricci 001; Mara Abel; Ana L. C. Bazzan (FLAIRS, 2010)

Action Selection and Sequencing in Multiagent Systems: An Approximate Algorithm Based on Swarm Intelligence. - Paulo Roberto Ferreira Jr.; Ana L. C. Bazzan (ICTAI (1), 2010)

Improving Space Representation in Multiagent Learning via Tile Coding. - Samuel Justo Waskow; Ana L. C. Bazzan (SBIA, 2010)

Reinforcement Learning Method for BioAgents. - Célia Ghedini Ralha; Hugo W. Schneider; Maria Emília M. T. Walter; Ana Lúcia Cetertich Bazzan (SBRN, 2010)

RoboCup Rescue as multiagent task allocation among teams: experiments with task interdependencies. - Paulo Roberto Ferreira Jr.; Fernando dos Santos; Ana L. C. Bazzan; Daniel Epstein; Samuel Justo Waskow (Auton. Agents Multi Agent Syst., 2010)

Bribe and Punishment: Effects of Signaling, Gossiping, and Bribery in Public Goods Games. - Ana L. C. Bazzan; Silvio R. Dahmen (Adv. Complex Syst., 2010)

Learning in groups of traffic signals. - Ana L. C. Bazzan; Denise de Oliveira; Bruno Castro da Silva (Eng. Appl. Artif. Intell., 2010)

Extending Traffic Simulation Based On Cellular Automata: From ParticlesTo Autonomous Agents. - 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 (ECMS, 2011)

Decision-Making Using Random Boolean Networks In The El Farol Bar Problem. - Daniel Epstein; Ana L. C. Bazzan (ECMS, 2011)

Evolving random boolean networks with genetic algorithms for regulatory networks reconstruction. - Mariana Recamonde Mendoza; Ana Lúcia C. Bazzan (GECCO, 2011)

Dealing with Coalition Formation in the RoboCup Rescue - An Heuristic Approach. - Daniel Epstein; Ana L. C. Bazzan (ICAART (1), 2011)

Self-adaptation in a network of social drivers: using random boolean networks. - André M. Machado; Ana L. C. Bazzan (OC@ICAC, 2011)

Traffic light control in non-stationary environments based on multi agent Q-learning. - Monireh Abdoos; Nasser Mozayani; Ana L. C. Bazzan (ITSC, 2011)

Dealing with continuous-state reinforcement learning for intelligent control of traffic signals. - Milton Roberto Heinen; Ana L. C. Bazzan; Paulo Martins Engel (ITSC, 2011)

Towards efficient multiagent task allocation in the RoboCup Rescue: a biologically-inspired approach. - Fernando dos Santos; Ana L. C. Bazzan (Auton. Agents Multi Agent Syst., 2011)

Improving recommendations through an assumption-based multiagent approach: An application in the tourism domain. - Fabiana Lorenzi; Ana L. C. Bazzan; Mara Abel; Francesco Ricci 001 (Expert Syst. Appl., 2011)

Network of collaboration among PC members of Brazilian computer science conferences. - Ana L. C. Bazzan; V. F. Argenta (J. Braz. Comput. Soc., 2011)

Learning to cooperate in the Iterated Prisoner's Dilemma by means of social attachments. - Ana L. C. Bazzan; Ana Peleteiro-Ramallo; Juan C. Burguillo-Rial (J. Braz. Comput. Soc., 2011)

Emerging Cooperation in the Spatial IPD with Reinforcement Learning and Coalitions. - Ana Peleteiro; Juan C. Burguillo; Ana L. C. Bazzan (Intelligent Decision Systems in Large-Scale Distributed Environments, 2011)

Agent-based simulation of mobility in real-world transportation networks: effects of acquiring information and replanning en-route. - Maicon de Brito do Amarante; Ana L. C. Bazzan (AAMAS, 2012)

Combining independent and joint learning: a negotiation based approach. - Reinaldo A. C. Bianchi; Ana L. C. Bazzan (AAMAS, 2012)

Break with agents who listen to too many others (at least when making Boolean decisions!). - Daniel Epstein; Ana L. C. Bazzan; André M. Machado (AAMAS, 2012)

Co-evolution of the dynamics in population games: the case of traffic flow assignment. - Ana L. C. Bazzan (GECCO (Companion), 2012)

Reverse engineering of GRNs: an evolutionary approach based on the tsallis entropy. - Mariana Recamonde Mendoza; Fabrício Martins Lopes; Ana Lúcia C. Bazzan (GECCO, 2012)

Coordinating many agents in stochastic games. - Ana L. C. Bazzan (IJCNN, 2012)

Orchestrating Multiagent Learning of Penalty Games. - Ana L. C. Bazzan (SBIA, 2012)

On the Ensemble Prediction of Gene Regulatory Networks: A Comparative Study. - Mariana Recamonde Mendoza; Ana L. C. Bazzan (SBRN, 2012)

An Epsilon-Greedy Mutation Operator Based on Prior Knowledge for GA Convergence and Accuracy Improvement: An Application to Networks Inference. - Mariana Recamonde Mendoza; Adriano Velasque Werhli; Ana L. C. Bazzan (SBRN, 2012)

Um Processo para Avaliação de Balanceamento de Carga em Redes de Transporte Veicular Utilizando Adaptação Heurística. - Maicon de Brito do Amarante; Ana L. C. Bazzan (SBSI, 2012)

Lessons learned from one decade of developing agent-based tools for traffic modeling, simulation, and control: how to make cities smarter. - Ana L. C. Bazzan (SBSI, 2012)

An Investigation on the Use of Navigation Devices in Smart Transportation Systems. - Ana L. C. Bazzan; Guilherme G. Azzi (SBSI, 2012)

Self-management as Support to an Advanced Traveler Information System. - Marcia Pasin; Felipe Silvano Perini; Ana L. C. Bazzan (SBSI, 2012)

RFMirTarget: A Random Forest Classifier for Human miRNA Target Gene Prediction. - Mariana Recamonde Mendoza; Guilherme C. da Fonseca; Guilherme L. de Morais; Ronnie Alves; Ana L. C. Bazzan; Rogerio Margis (BSB, 2012)

Evolving Networks promotes Cooperation in Public Goods Games. - Ana L. C. Bazzan; V. F. Argenta (Adv. Complex Syst., 2012)

Agent-Based Modeling and Simulation. - Franziska Klügl; Ana L. C. Bazzan (AI Mag., 2012)

Distributed clustering for group formation and task allocation in multiagent systems: A swarm intelligence approach. - Daniela Scherer dos Santos; Ana L. C. Bazzan (Appl. Soft Comput., 2012)

Management of Demand and Routing in Autonomous Personal Transportation. - Ana L. C. Bazzan; Maicon de Brito do Amarante; Francisco Beschoren da Costa (J. Intell. Transp. Syst., 2012)

Independent learners in abstract traffic scenarios. - Anderson R. Tavares; Ana Lúcia C. Bazzan (RITA, 2012)

The Wisdom of Crowds in Bioinformatics: What Can We Learn (and Gain) from Ensemble Predictions? - Mariana Recamonde Mendoza; Ana Lúcia C. Bazzan (AAAI, 2013)

Taxation search in boolean games. - Vadim Levit 001; Tal Grinshpoun; Amnon Meisels; Ana L. C. Bazzan (AAMAS, 2013)

Incentivising Crowdsourced Parking Solutions. - Andrew Koster; Fernando Koch; Ana L. C. Bazzan (CitiSens, 2013)

Comparing Reinforcement Learning and Evolutionary Based Adaptation in Population Games. - Ana L. C. Bazzan (ECAL, 2013)

Paying the Price of Learning Independently in Route Choice. - Ana L. C. Bazzan (EPIA, 2013)

Distributed Coalition Structure Generation with Positive and Negative Externalities. - Daniel Epstein; Ana L. C. Bazzan (EPIA, 2013)

Benefits of routing and replanning with imperfect information. - Maicon de Brito do Amarante; Ana L. C. Bazzan (IEEE IA, 2013)

Cooperative induction of decision trees. - Ana L. C. Bazzan (IEEE IA, 2013)

Using trust and possibilistic reasoning to deal with untrustworthy communication in VANETs. - Andrew Koster; Andrea Tettamanzi; Ana L. C. Bazzan; Célia da Costa Pereira (ITSC, 2013)

Evolving Mechanisms in Boolean Games. - Cristiano Galafassi; Ana L. C. Bazzan (MATES, 2013)

Towards a Platform for Testing and Developing Privacy-Preserving Data Mining Applications for Smart Grids. - Andrew Koster; Gabriel de Oliveira Ramos; Ana L. C. Bazzan; Fernando Koch (MATES, 2013)

Self-Adapting Coalition Formation Among Electric Vehicles in Smart Grids. - Gabriel de Oliveira Ramos; Juan C. Burguillo-Rial; Ana L. C. Bazzan (SASO, 2013)

Holonic multi-agent system for traffic signals control. - Monireh Abdoos; Nasser Mozayani; Ana L. C. Bazzan (Eng. Appl. Artif. Intell., 2013)

Infaestrutura Autonômica Distribuída como Suporte para Aplicações com Demanda Elástica. - Marcia Pasin; Ana L. C. Bazzan; Felipe Silvano Perini (Braz. J. Inf. Syst., 2013)

Introduction to Intelligent Systems in Traffic and Transportation - Ana L. C. Bazzan; Franziska Klügl (Morgan & Claypool Publishers, 2013)

Individual versus Difference Rewards on Reinforcement Learning for Route Choice. - Ricardo Grunitzki; Gabriel de Oliveira Ramos; Ana Lúcia C. Bazzan (BRACIS, 2014)

An evolutionary approach to traffic assignment. - Ana L. C. Bazzan; Daniel Cagara; Björn Scheuermann 001 (CIVTS, 2014)

Evolving the topology of subway networks using genetic algorithms. - Ana L. C. Bazzan; Silvio R. Dahmen (CIVTS, 2014)

Traffic information extraction from a blogging platform using knowledge-based approaches and bootstrapping. - Jorge Leonid Aching Samatelo; Thiago Bell Felix de Oliveira; Ana L. C. Bazzan (CIVTS, 2014)

Getting you faster to work: a genetic algorithm approach to the traffic assignment problem. - Daniel Cagara; Ana L. C. Bazzan; Björn Scheuermann 001 (GECCO (Companion), 2014)

Policy and incentive designs evaluation: A social-oriented framework for Artificial Transportation Systems. - Zafeiris Kokkinogenis; Nuno Monteiro; Rosaldo J. F. Rossetti; Ana L. C. Bazzan; Pedro J. R. M. Campos (ITSC, 2014)

Hierarchical control of traffic signals using Q-learning with tile coding. - Monireh Abdoos; Nasser Mozayani; Ana L. C. Bazzan (Appl. Intell., 2014)

The Role of Context in Transport Prediction. - Francisco C. Pereira; Ana L. C. Bazzan; Moshe E. Ben-Akiva (IEEE Intell. Syst., 2014)

Dynamic constrained coalition formation among electric vehicles. - Gabriel de Oliveira Ramos; Juan C. Burguillo; Ana L. C. Bazzan (J. Braz. Comput. Soc., 2014)

An agent-based approach for road pricing: system-level performance and implications for drivers. - Anderson Rocha Tavares; Ana L. C. Bazzan (J. Braz. Comput. Soc., 2014)

A review on agent-based technology for traffic and transportation. - Ana L. C. Bazzan; Franziska Klügl (Knowl. Eng. Rev., 2014)

Beyond Reinforcement Learning and Local View in Multiagent Systems. - Ana L. C. Bazzan (Künstliche Intell., 2014)

Fast Convention Formation in Dynamic Networks Using Topological Knowledge. - Mohammad Rashedul Hasan; Anita Raja; Ana L. C. Bazzan (AAAI, 2015)

A Hybrid Evolutionary and Multiagent Reinforcement Learning Approach to Accelerate the Computation of Traffic Assignment: (Extended Abstract). - Ana L. C. Bazzan; Camelia Chira (AAMAS, 2015)

Towards the User Equilibrium in Traffic Assignment Using GRASP with Path Relinking. - Gabriel de Oliveira Ramos; Ana Lúcia Cetertich Bazzan (GECCO, 2015)

Route assignment using multi-objective evolutionary search. - Camelia Chira; Ana L. C. Bazzan (ICCP, 2015)

Optimal Electric Vehicle Charging Station Placement. - Yanhai Xiong; Jiarui Gan; Bo An 001; Chunyan Miao; Ana L. C. Bazzan (IJCAI, 2015)

Multi-objective Evolutionary Traffic Assignment. - Camelia Chira; Ana L. C. Bazzan; Rosaldo J. F. Rossetti (ITSC, 2015)

Forming Coalitions of Electric Vehicles in Constrained Scenarios. - Ana L. C. Bazzan; Gabriel de Oliveira Ramos (PAAMS (Workshops), 2015)

Traffic optimization on Islands. - Daniel Cagara; Björn Scheuermann 001; Ana L. C. Bazzan (VNC, 2015)

Towards reinforcement learning for holonic multi-agent systems. - Monireh Abdoos; Nasser Mozayani; Ana L. C. Bazzan (Intell. Data Anal., 2015)

A self-adapting similarity-based coalition formation approach for plug-in electric vehicles in smart grids. - Gabriel de Oliveira Ramos; Juan C. Burguillo; Ana L. C. Bazzan (Multiagent Grid Syst., 2015)

Identification of Central Points in Road Networks using Betweenness Centrality Combined with Traffic Demand. - Rodrigo de Abreu Batista; Ana Lúcia Cetertich Bazzan (Polibits, 2015)

Efficient local search in traffic assignment. - Gabriel de Oliveira Ramos; Ana L. C. Bazzan (CEC, 2016)

Autonomous car and ride sharing: flexible road trains: (vision paper). - Niels A. H. Agatz; Ana L. C. Bazzan; Ronny J. Kutadinata; Dirk Christian Mattfeld; Monika Sester; Stephan Winter 001; Ouri Wolfson (SIGSPATIAL/GIS, 2016)

Combining Car-to-Infrastructure Communication and Multi-Agent Reinforcement Learning in Route Choice. - Ricardo Grunitzki; Ana L. C. Bazzan (ATT@IJCAI, 2016)

On Estimating Action Regret and Learning From It in Route Choice. - Gabriel de Oliveira Ramos; Ana L. C. Bazzan (ATT@IJCAI, 2016)

Using Topological Statistics to Bias and Accelerate Route Choice: Preliminary Findings in Synthetic and Real-World Road Networks. - Fernando Stefanello; Bruno Castro da Silva; Ana L. C. Bazzan (ATT@IJCAI, 2016)

A multiagent reinforcement learning approach to en-route trip building. - Ana L. C. Bazzan; Ricardo Grunitzki (IJCNN, 2016)

A multiagent solution to overcome selfish routing in transportation networks. - Mohammad Rashedul Hasan; Ana L. C. Bazzan; Eliyahu Friedman; Anita Raja (ITSC, 2016)

A bi-objective method of traffic assignment for electric vehicles. - Marcelo de Souza; Marcus Ritt; Ana L. C. Bazzan (ITSC, 2016)

Temporal Network Analysis of Literary Texts. - Sandra D. Prado; Silvio R. Dahmen; Ana L. C. Bazzan; Pádraig Mac Carron; Ralph Kenna (Adv. Complex Syst., 2016)

Social choice in distributed classification tasks: Dealing with vertically partitioned data. - Mariana Recamonde Mendoza; Ana L. C. Bazzan (Inf. Sci., 2016)

Trying to Fix Traffic: Past, Present, and Some Future Trends. - Ana L. C. Bazzan (AAMAS, 2017)

A Flexible Approach for Designing Optimal Reward Functions. - Ricardo Grunitzki; Bruno Castro da Silva; Ana L. C. Bazzan (AAMAS, 2017)

ABStractme: Modularized Environment Modeling in Agent-based Simulations. - Deividi Moreira; Fernando dos Santos; Matheus Barbieri; Ingrid Nunes; Ana L. C. Bazzan (AAMAS, 2017)

Learning to Minimise Regret in Route Choice. - Gabriel de Oliveira Ramos; Bruno Castro da Silva; Ana L. C. Bazzan (AAMAS, 2017)

Model-Driven Engineering in Agent-based Modeling and Simulation: a Case Study in the Traffic Signal Control Domain. - Fernando dos Santos; Ingrid Nunes; Ana L. C. Bazzan (AAMAS, 2017)

Social-Training: Ensemble Learning with Voting Aggregation for Semi-supervised Classification Tasks. - Matheus Alves; Ana L. C. Bazzan; Mariana Recamonde Mendoza (BRACIS, 2017)

Comparing Two Multiagent Reinforcement Learning Approaches for the Traffic Assignment Problem. - Ricardo Grunitzki; Ana L. C. Bazzan (BRACIS, 2017)

Supporting the Development of Agent-Based Simulations: A DSL for Environment Modeling. - Fernando dos Santos; Ingrid Nunes; Ana L. C. Bazzan (COMPSAC (1), 2017)

Synergies between evolutionary computation and multiagent reinforcement learning: the benefits of exchanging solutions. - Ana L. C. Bazzan (GECCO (Companion), 2017)

Multiagent systems and agent-based modeling and simulation. - Ana L. C. Bazzan (GECCO (Companion), 2017)

Understanding the Behaviour of Learning-Based BDI Agents in the Braess' Paradox. - João Guilherme Faccin; Ingrid Nunes; Ana L. C. Bazzan (MATES, 2017)

Liar liar, pants on fire; or how to use subjective logic and argumentation to evaluate information from untrustworthy sources. - Andrew Koster; Ana L. C. Bazzan; Marcelo de Souza (Artif. Intell. Rev., 2017)

Community Detection in the Network of German Princes in 1225: a Case Study. - Silvio R. Dahmen; Ana L. C. Bazzan; R. Gramsch (CoRR, 2017)

Co-Adaptive Reinforcement Learning in Microscopic Traffic Systems. - Liza Lunardi Lemos; Ana L. C. Bazzan; Marcia Pasin (CEC, 2018)

Accelerating the Computation of Solutions in Resource Allocation Problems Using an Evolutionary Approach and Multiagent Reinforcement Learning. - Ana L. C. Bazzan (EvoApplications, 2018)

Adaptive Incremental Gaussian Mixture Network for Non-Stationary Data Stream Classification. - Jorge C. Chamby-Diaz; Mariana Recamonde Mendoza; Ana L. C. Bazzan; Ricardo Grunitzki (IJCNN, 2018)

Towards Designing Optimal Reward Functions in Multi-Agent Reinforcement Learning Problems. - Ricardo Grunitzki; Bruno Castro da Silva; Ana L. C. Bazzan (IJCNN, 2018)

Comparing Multi-Armed Bandit Algorithms and Q-learning for Multiagent Action Selection: a Case Study in Route Choice. - Thiago Bell Felix de Oliveira; Ana L. C. Bazzan; Bruno C. da Silva 001; Ricardo Grunitzki (IJCNN, 2018)

Tutorials at PPSN 2018. - 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; et al. (PPSN (2), 2018)

I will be there for you: six friends in a clique. - Ana L. C. Bazzan (CoRR, 2018)

Solving task allocation problem in multi Unmanned Aerial Vehicles systems using Swarm intelligence. - Janaina Schwarzrock; Iulisloi Zacarias; Ana L. C. Bazzan; Ricardo Queiroz de Araujo Fernandes; Leonardo Henrique Moreira; Edison Pignaton de Freitas (Eng. Appl. Artif. Intell., 2018)

Model-driven agent-based simulation development: A modeling language and empirical evaluation in the adaptive traffic signal control domain. - Fernando dos Santos; Ingrid Nunes; Ana L. C. Bazzan (Simul. Model. Pract. Theory, 2018)

Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework. - Yanhai Xiong; Jiarui Gan; Bo An 001; Chunyan Miao; Ana L. C. Bazzan (IEEE Trans. Intell. Transp. Syst., 2018)

Identifying Traffic Event Types from Twitter by Multi-Label Classification. - Jorge Cristhian Chamby-Diaz; Ana L. C. Bazzan (BRACIS, 2019)

Dynamic Correlation-Based Feature Selection for Feature Drifts in Data Streams. - Jorge Cristhian Chamby-Diaz; Mariana Recamonde Mendoza; Ana Lúcia C. Bazzan (BRACIS, 2019)

Using Information from Heterogeneous Sources and Machine Learning in Intelligent Transportation Systems. - 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 (ICCP, 2019)

A context-aware convention formation framework for large-scale networks. - Mohammad Rashedul Hasan; Anita Raja; Ana L. C. Bazzan (Auton. Agents Multi Agent Syst., 2019)

Incentive-based search for equilibria in boolean games. - Vadim Levit 001; Zohar Komarovsky; Tal Grinshpoun; Ana L. C. Bazzan; Amnon Meisels (Constraints An Int. J., 2019)

Aligning individual and collective welfare in complex socio-technical systems by combining metaheuristics and reinforcement learning. - Ana L. C. Bazzan (Eng. Appl. Artif. Intell., 2019)

A reinforcement learning-based multi-agent framework applied for solving routing and scheduling problems. - Maria Amélia Lopes Silva; Sérgio Ricardo de Souza; Marcone Jamilson Freitas Souza; Ana Lúcia C. Bazzan (Expert Syst. Appl., 2019)

Experience Sharing in a Traffic Scenario. - Ana L. C. Bazzan; Franziska Klügl (ATT@ECAI, 2020)

A Reinforcement Learning Approach with Fourier Basis Linear Function Approximation for Traffic Signal Control. - Theresa Ziemke; Lucas Nunes Alegre; Ana L. C. Bazzan (ATT@ECAI, 2020)

Detecting Communities in Networks: a Decentralized Approach Based on Multiagent Reinforcement Learning. - Eduardo C. Paim; Ana L. C. Bazzan; Camelia Chira (SSCI, 2020)

Gendered Networks and Communicability in Medieval Historical Narratives. - Sandra D. Prado; Silvio R. Dahmen; Ana L. C. Bazzan; M. Maccarron; J. Hillner (Adv. Complex Syst., 2020)

How Hard is for Agents to Learn the User equilibrium? Characterizing Traffic Networks by means of Entropy. - Camil S. Z. Redwan; Ana L. C. Bazzan (Adv. Complex Syst., 2020)

I will be there for you: clique, character centrality, and community detection in Friends. - Ana L. C. Bazzan (Comput. Appl. Math., 2020)

A comparative evaluation of aggregation methods for machine learning over vertically partitioned data. - Bernardo Trevizan; Jorge C. Chamby-Diaz; Ana L. C. Bazzan; Mariana Recamonde Mendoza (Expert Syst. Appl., 2020)

Toll-based reinforcement learning for efficient equilibria in route choice. - Gabriel de Oliveira Ramos; Bruno C. da Silva 001; Roxana Radulescu; Ana L. C. Bazzan; Ann Nowé (Knowl. Eng. Rev., 2020)

Similar Yet Different: the Structure of Social Networks of Characters in Seinfeld, Friends, How I met Your Mother, and The Big Bang Theory. - Ana Lúcia Cetertich Bazzan (RITA, 2020)

Quantitatively assessing the benefits of model-driven development in agent-based modeling and simulation. - Fernando dos Santos; Ingrid Nunes; Ana L. C. Bazzan (Simul. Model. Pract. Theory, 2020)

Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection. - Lucas Nunes Alegre; Ana L. C. Bazzan; Bruno C. da Silva 001 (AAMAS, 2021)

Improving Traffic Signal Control With Joint-Action Reinforcement Learning. - João V. B. Labres; Ana L. C. Bazzan; Monireh Abdoos (SSCI, 2021)

Accelerating route choice learning with experience sharing in a commuting scenario: An agent-based approach. - Franziska Klügl; Ana Lúcia C. Bazzan (AI Commun., 2021)

Reinforcement learning vs. rule-based adaptive traffic signal control: A Fourier basis linear function approximation for traffic signal control. - Theresa Ziemke; Lucas Nunes Alegre; Ana L. C. Bazzan (AI Commun., 2021)

Hierarchical traffic signal optimization using reinforcement learning and traffic prediction with long-short term memory. - Monireh Abdoos; Ana L. C. Bazzan (Expert Syst. Appl., 2021)

Using Car to Infrastructure Communication to Accelerate Learning in Route Choice. - Guilherme Dytz dos Santos; Ana L. C. Bazzan; Arthur Prochnow Baumgardt (J. Inf. Data Manag., 2021)

Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control. - Lucas Nunes Alegre; Ana L. C. Bazzan; Bruno C. da Silva 001 (PeerJ Comput. Sci., 2021)

Sharing diverse information gets driver agents to learn faster: an application in en route trip building. - Guilherme Dytz dos Santos; Ana L. C. Bazzan (PeerJ Comput. Sci., 2021)

Experience classification for transfer learning in traffic signal control. - Mojtaba Norouzi; Monireh Abdoos; Ana L. C. Bazzan (J. Supercomput., 2021)

Information upwards, recommendation downwards: reinforcement learning with hierarchy for traffic signal control. - Taylor de O. Antes; Ana L. C. Bazzan; Anderson Rocha Tavares (ANT/EDI40, 2022)

Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer. - Lucas Nunes Alegre; Ana L. C. Bazzan; Bruno C. da Silva 001 (ICML, 2022)

Multiagent Reinforcement Learning for Traffic Signal Control: a k-Nearest Neighbors Based Approach. - Vicente Nejar de Almeida; Ana L. C. Bazzan; Monireh Abdoos (ATT@IJCAI, 2022)

A Multiobjective Reinforcement Learning Approach to Trip Building. - Guilherme Dytz dos Santos; Ana L. C. Bazzan (ATT@IJCAI, 2022)

On the Explainability and Expressiveness of Function Approximation Methods in RL-Based Traffic Signal Control. - Lincoln Vinicius Schreiber; Lucas Nunes Alegre; Ana L. C. Bazzan; Gabriel de Oliveira Ramos (IJCNN, 2022)

Improving Urban Mobility: using artificial intelligence and new technologies to connect supply and demand. - Ana L. C. Bazzan (CoRR, 2022)

Reinforcement learning in urban network traffic signal control: A systematic literature review. - Mohammad Noaeen; Atharva Naik; Liana Goodman; Jared Crebo; Taimoor Abrar; Zahra Shakeri Hossein Abad; Ana L. C. Bazzan; Behrouz H. Far (Expert Syst. Appl., 2022)

Identifying traffic conditions from non-traffic related sources. - Jorge C. Chamby-Diaz; Rhuam Sena Estevam; Ana L. C. Bazzan (J. Intell. Transp. Syst., 2022)

Using Reinforcement Learning to Control Traffic Signals in a Real-World Scenario: An Approach Based on Linear Function Approximation. - Lucas Nunes Alegre; Theresa Ziemke; Ana L. C. Bazzan (IEEE Trans. Intell. Transp. Syst., 2022)

A New Microscopic Approach to Traffic Flow Classification Using a Convolutional Neural Network Object Detector and a Multi-Tracker Algorithm. - Matheus Vieira Lessa Ribeiro; Jorge Leonid Aching Samatelo; Ana Lúcia Cetertich Bazzan (IEEE Trans. Intell. Transp. Syst., 2022)

"A Nova Eletricidade": Aplicações, Riscos e Tendências da IA Moderna. - Ana L. C. Bazzan; Anderson R. Tavares; André G. Pereira; Cláudio R. Jung; Jacob Scharcanski; Joel Luís Carbonera; Luís C. Lamb; Mariana Recamonde Mendoza; Thiago L. T. da Silveira; Viviane P. Moreira (Escola de Computação PPGC/UFRGS 50 Anos, 2023)

Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization. - Lucas Nunes Alegre; Ana L. C. Bazzan; Diederik M. Roijers; Ann Nowé; Bruno C. da Silva 001 (AAMAS, 2023)

Multi-Step Generalized Policy Improvement by Leveraging Approximate Models. - Lucas Nunes Alegre; Ana L. C. Bazzan; Ann Nowé; Bruno C. da Silva 001 (NeurIPS, 2023)

A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning. - Florian Felten; Lucas N. Alegre; Ann Nowé; Ana L. C. Bazzan; El-Ghazali Talbi; Grégoire Danoy; Bruno C. da Silva 001 (NeurIPS, 2023)

"A Nova Eletricidade: Aplicações, Riscos e Tendências da IA Moderna - "The New Electricity": Applications, Risks, and Trends in Current AI. - Ana L. C. Bazzan; Anderson R. Tavares; André G. Pereira; Cláudio R. Jung; Jacob Scharcanski; Joel Luis Carbonera; Luís C. Lamb; Mariana Recamonde Mendoza; Thiago L. T. da Silveira; Viviane P. Moreira (CoRR, 2023)

Multi-Objective, Multi-Armed Bandits: Algorithms for Repeated Games and Application to Route Choice. - Candy A. Huanca-Anquise; Ana Lúcia Cetertich Bazzan; Anderson R. Tavares (RITA, 2023)

Traffic optimization using a coordinated route updating mechanism. - Di Mei; I-An Huang; Anita Raja; Mohammad Rashedul Hasan; Ana L. C. Bazzan (J. Intell. Transp. Syst., 2023)

Learning From Your Virtual Neighbors: a Reinforcement Learning Approach to Traffic Signal Control. - Ana L. C. Bazzan; Henrique U. Gobbi (ATT@ECAI, 2024)

Transferring experiences in k-nearest neighbors based multiagent reinforcement learning: an application to traffic signal control. - Ana Lúcia C. Bazzan; Vicente Nejar de Almeida; Monireh Abdoos (AI Commun., 2024)

Agents in Traffic and Transportation (ATT 2022): Revised and Extended Papers. - Ana L. C. Bazzan; Ivana Dusparic; Marin Lujak; Giuseppe Vizzari (AI Commun., 2024)

Knowledge transfer in multi-objective multi-agent reinforcement learning via generalized policy improvement. - Vicente Nejar de Almeida; Lucas N. Alegre; Ana L. C. Bazzan (Comput. Sci. Inf. Syst., 2024)

Comparing reinforcement learning algorithms for a trip building task: A multi-objective approach using non-local information. - Henrique U. Gobbi; Guilherme Dytz dos Santos; Ana L. C. Bazzan (Comput. Sci. Inf. Syst., 2024)

Guest editorial: Role of agents in traffic and transportation. - Marin Lujak; Ana L. C. Bazzan; Ivana Dusparic; Giuseppe Vizzari (Comput. Sci. Inf. Syst., 2024)

Endorsement Networks in the 2022 Brazilian Presidential Elections: a case study on Twitter data. - Alejandro Dinkelberg; Breda Salenave Santana; Ana L. C. Bazzan (J. Braz. Comput. Soc., 2025)

Constructing an Optimal Behavior Basis for the Option Keyboard. - Lucas N. Alegre; Ana L. C. Bazzan; André Barreto 001; Bruno C. da Silva 001 (CoRR, 2025)