Ana L. C. Bazzan

Orcid: 0000-0002-2803-9607

Affiliations:
  • Federal University of Rio Grande do Sul, Porto Alegre, Brazil


According to our database1, Ana L. C. Bazzan authored at least 221 papers between 1996 and 2024.

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Bibliography

2024
Guest editorial: Role of agents in traffic and transportation.
Comput. Sci. Inf. Syst., 2024

Comparing reinforcement learning algorithms for a trip building task: A multi-objective approach using non-local information.
Comput. Sci. Inf. Syst., 2024

Knowledge transfer in multi-objective multi-agent reinforcement learning via generalized policy improvement.
Comput. Sci. Inf. Syst., 2024

2023
Traffic optimization using a coordinated route updating mechanism.
J. Intell. Transp. Syst., September, 2023

"A Nova Eletricidade: Aplicações, Riscos e Tendências da IA Moderna - "The New Electricity": Applications, Risks, and Trends in Current AI.
CoRR, 2023

A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Step Generalized Policy Improvement by Leveraging Approximate Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

"A Nova Eletricidade": Aplicações, Riscos e Tendências da IA Moderna.
Proceedings of the Escola de Computação PPGC/UFRGS 50 Anos: Transformando Desafios em Oportunidades Para o Futuro, 2023

2022
A New Microscopic Approach to Traffic Flow Classification Using a Convolutional Neural Network Object Detector and a Multi-Tracker Algorithm.
IEEE Trans. Intell. Transp. Syst., 2022

Using Reinforcement Learning to Control Traffic Signals in a Real-World Scenario: An Approach Based on Linear Function Approximation.
IEEE Trans. Intell. Transp. Syst., 2022

Identifying traffic conditions from non-traffic related sources.
J. Intell. Transp. Syst., 2022

Reinforcement learning in urban network traffic signal control: A systematic literature review.
Expert Syst. Appl., 2022

Improving Urban Mobility: using artificial intelligence and new technologies to connect supply and demand.
CoRR, 2022

On the Explainability and Expressiveness of Function Approximation Methods in RL-Based Traffic Signal Control.
Proceedings of the International Joint Conference on Neural Networks, 2022

A Multiobjective Reinforcement Learning Approach to Trip Building.
Proceedings of the Twelfth International Workshop on Agents in Traffic and Transportation co-located with the the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

Multiagent Reinforcement Learning for Traffic Signal Control: a k-Nearest Neighbors Based Approach.
Proceedings of the Twelfth International Workshop on Agents in Traffic and Transportation co-located with the the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer.
Proceedings of the International Conference on Machine Learning, 2022

Information upwards, recommendation downwards: reinforcement learning with hierarchy for traffic signal control.
Proceedings of the 13th International Conference on Ambient Systems, 2022

2021
Experience classification for transfer learning in traffic signal control.
J. Supercomput., 2021

Sharing diverse information gets driver agents to learn faster: an application in en route trip building.
PeerJ Comput. Sci., 2021

Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control.
PeerJ Comput. Sci., 2021

Using Car to Infrastructure Communication to Accelerate Learning in Route Choice.
J. Inf. Data Manag., 2021

Hierarchical traffic signal optimization using reinforcement learning and traffic prediction with long-short term memory.
Expert Syst. Appl., 2021

Reinforcement learning vs. rule-based adaptive traffic signal control: A Fourier basis linear function approximation for traffic signal control.
AI Commun., 2021

Accelerating route choice learning with experience sharing in a commuting scenario: An agent-based approach.
AI Commun., 2021

Improving Traffic Signal Control With Joint-Action Reinforcement Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Quantitatively assessing the benefits of model-driven development in agent-based modeling and simulation.
Simul. Model. Pract. Theory, 2020

Similar Yet Different: the Structure of Social Networks of Characters in Seinfeld, Friends, How I met Your Mother, and The Big Bang Theory.
RITA, 2020

Toll-based reinforcement learning for efficient equilibria in route choice.
Knowl. Eng. Rev., 2020

A comparative evaluation of aggregation methods for machine learning over vertically partitioned data.
Expert Syst. Appl., 2020

I will be there for you: clique, character centrality, and community detection in Friends.
Comput. Appl. Math., 2020

How Hard is for Agents to Learn the User equilibrium? Characterizing Traffic Networks by means of Entropy.
Adv. Complex Syst., 2020

Gendered Networks and Communicability in Medieval Historical Narratives.
Adv. Complex Syst., 2020

Detecting Communities in Networks: a Decentralized Approach Based on Multiagent Reinforcement Learning.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Reinforcement Learning Approach with Fourier Basis Linear Function Approximation for Traffic Signal Control.
Proceedings of the Eleventh International Workshop on Agents in Traffic and Transportation co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

Experience Sharing in a Traffic Scenario.
Proceedings of the Eleventh International Workshop on Agents in Traffic and Transportation co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

2019
A reinforcement learning-based multi-agent framework applied for solving routing and scheduling problems.
Expert Syst. Appl., 2019

Aligning individual and collective welfare in complex socio-technical systems by combining metaheuristics and reinforcement learning.
Eng. Appl. Artif. Intell., 2019

Incentive-based search for equilibria in boolean games.
Constraints An Int. J., 2019

A context-aware convention formation framework for large-scale networks.
Auton. Agents Multi Agent Syst., 2019

Using Information from Heterogeneous Sources and Machine Learning in Intelligent Transportation Systems.
Proceedings of the 15th IEEE International Conference on Intelligent Computer Communication and Processing, 2019

Dynamic Correlation-Based Feature Selection for Feature Drifts in Data Streams.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Identifying Traffic Event Types from Twitter by Multi-Label Classification.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework.
IEEE Trans. Intell. Transp. Syst., 2018

Model-driven agent-based simulation development: A modeling language and empirical evaluation in the adaptive traffic signal control domain.
Simul. Model. Pract. Theory, 2018

Solving task allocation problem in multi Unmanned Aerial Vehicles systems using Swarm intelligence.
Eng. Appl. Artif. Intell., 2018

I will be there for you: six friends in a clique.
CoRR, 2018


Comparing Multi-Armed Bandit Algorithms and Q-learning for Multiagent Action Selection: a Case Study in Route Choice.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Towards Designing Optimal Reward Functions in Multi-Agent Reinforcement Learning Problems.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Adaptive Incremental Gaussian Mixture Network for Non-Stationary Data Stream Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Accelerating the Computation of Solutions in Resource Allocation Problems Using an Evolutionary Approach and Multiagent Reinforcement Learning.
Proceedings of the Applications of Evolutionary Computation, 2018

Co-Adaptive Reinforcement Learning in Microscopic Traffic Systems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Community Detection in the Network of German Princes in 1225: a Case Study.
CoRR, 2017

Liar liar, pants on fire; or how to use subjective logic and argumentation to evaluate information from untrustworthy sources.
Artif. Intell. Rev., 2017

Understanding the Behaviour of Learning-Based BDI Agents in the Braess' Paradox.
Proceedings of the Multiagent System Technologies - 15th German Conference, 2017

Multiagent systems and agent-based modeling and simulation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Synergies between evolutionary computation and multiagent reinforcement learning: the benefits of exchanging solutions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Supporting the Development of Agent-Based Simulations: A DSL for Environment Modeling.
Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

Comparing Two Multiagent Reinforcement Learning Approaches for the Traffic Assignment Problem.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

Social-Training: Ensemble Learning with Voting Aggregation for Semi-supervised Classification Tasks.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

Model-Driven Engineering in Agent-based Modeling and Simulation: a Case Study in the Traffic Signal Control Domain.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Learning to Minimise Regret in Route Choice.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

ABStractme: Modularized Environment Modeling in Agent-based Simulations.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

A Flexible Approach for Designing Optimal Reward Functions.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Trying to Fix Traffic: Past, Present, and Some Future Trends.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016
Social choice in distributed classification tasks: Dealing with vertically partitioned data.
Inf. Sci., 2016

Temporal Network Analysis of Literary Texts.
Adv. Complex Syst., 2016

A bi-objective method of traffic assignment for electric vehicles.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

A multiagent solution to overcome selfish routing in transportation networks.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

A multiagent reinforcement learning approach to en-route trip building.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Using Topological Statistics to Bias and Accelerate Route Choice: Preliminary Findings in Synthetic and Real-World Road Networks.
Proceedings of the Ninth International Workshop on Agents in Traffic and Transportation (ATT 2016) co-located with the 25th International Joint Conference On Artificial Intelligence (IJCAI 2016), 2016

On Estimating Action Regret and Learning From It in Route Choice.
Proceedings of the Ninth International Workshop on Agents in Traffic and Transportation (ATT 2016) co-located with the 25th International Joint Conference On Artificial Intelligence (IJCAI 2016), 2016

Combining Car-to-Infrastructure Communication and Multi-Agent Reinforcement Learning in Route Choice.
Proceedings of the Ninth International Workshop on Agents in Traffic and Transportation (ATT 2016) co-located with the 25th International Joint Conference On Artificial Intelligence (IJCAI 2016), 2016

Autonomous car and ride sharing: flexible road trains: (vision paper).
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

Efficient local search in traffic assignment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Identification of Central Points in Road Networks using Betweenness Centrality Combined with Traffic Demand.
Polibits, 2015

A self-adapting similarity-based coalition formation approach for plug-in electric vehicles in smart grids.
Multiagent Grid Syst., 2015

Towards reinforcement learning for holonic multi-agent systems.
Intell. Data Anal., 2015

Traffic optimization on Islands.
Proceedings of the 2015 IEEE Vehicular Networking Conference, 2015

Forming Coalitions of Electric Vehicles in Constrained Scenarios.
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection, 2015

Multi-objective Evolutionary Traffic Assignment.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Optimal Electric Vehicle Charging Station Placement.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Route assignment using multi-objective evolutionary search.
Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing, 2015

Towards the User Equilibrium in Traffic Assignment Using GRASP with Path Relinking.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

A Hybrid Evolutionary and Multiagent Reinforcement Learning Approach to Accelerate the Computation of Traffic Assignment: (Extended Abstract).
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Fast Convention Formation in Dynamic Networks Using Topological Knowledge.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Beyond Reinforcement Learning and Local View in Multiagent Systems.
Künstliche Intell., 2014

A review on agent-based technology for traffic and transportation.
Knowl. Eng. Rev., 2014

An agent-based approach for road pricing: system-level performance and implications for drivers.
J. Braz. Comput. Soc., 2014

Dynamic constrained coalition formation among electric vehicles.
J. Braz. Comput. Soc., 2014

The Role of Context in Transport Prediction.
IEEE Intell. Syst., 2014

Hierarchical control of traffic signals using Q-learning with tile coding.
Appl. Intell., 2014

Policy and incentive designs evaluation: A social-oriented framework for Artificial Transportation Systems.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

Getting you faster to work: a genetic algorithm approach to the traffic assignment problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Traffic information extraction from a blogging platform using knowledge-based approaches and bootstrapping.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, 2014

Evolving the topology of subway networks using genetic algorithms.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, 2014

An evolutionary approach to traffic assignment.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, 2014

Individual versus Difference Rewards on Reinforcement Learning for Route Choice.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
Introduction to Intelligent Systems in Traffic and Transportation
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01565-6, 2013

Infaestrutura Autonômica Distribuída como Suporte para Aplicações com Demanda Elástica.
Braz. J. Inf. Syst., 2013

Holonic multi-agent system for traffic signals control.
Eng. Appl. Artif. Intell., 2013

Self-Adapting Coalition Formation Among Electric Vehicles in Smart Grids.
Proceedings of the 7th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2013

Towards a Platform for Testing and Developing Privacy-Preserving Data Mining Applications for Smart Grids.
Proceedings of the Multiagent System Technologies - 11th German Conference, 2013

Evolving Mechanisms in Boolean Games.
Proceedings of the Multiagent System Technologies - 11th German Conference, 2013

Using trust and possibilistic reasoning to deal with untrustworthy communication in VANETs.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

Cooperative induction of decision trees.
Proceedings of the 2013 IEEE Symposium on Intelligent Agents, 2013

Benefits of routing and replanning with imperfect information.
Proceedings of the 2013 IEEE Symposium on Intelligent Agents, 2013

Distributed Coalition Structure Generation with Positive and Negative Externalities.
Proceedings of the Progress in Artificial Intelligence, 2013

Paying the Price of Learning Independently in Route Choice.
Proceedings of the Progress in Artificial Intelligence, 2013

Comparing Reinforcement Learning and Evolutionary Based Adaptation in Population Games.
Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013

Incentivising Crowdsourced Parking Solutions.
Proceedings of the Citizen in Sensor Networks - Second International Workshop, 2013

Taxation search in boolean games.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

The Wisdom of Crowds in Bioinformatics: What Can We Learn (and Gain) from Ensemble Predictions?
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Independent learners in abstract traffic scenarios.
RITA, 2012

Management of Demand and Routing in Autonomous Personal Transportation.
J. Intell. Transp. Syst., 2012

Distributed clustering for group formation and task allocation in multiagent systems: A swarm intelligence approach.
Appl. Soft Comput., 2012

Agent-Based Modeling and Simulation.
AI Mag., 2012

Evolving Networks promotes Cooperation in Public Goods Games.
Adv. Complex Syst., 2012

RFMirTarget: A Random Forest Classifier for Human miRNA Target Gene Prediction.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2012

Self-management as Support to an Advanced Traveler Information System.
Proceedings of the 8th Brazilian Symposium on Information Systems, 2012

An Investigation on the Use of Navigation Devices in Smart Transportation Systems.
Proceedings of the 8th Brazilian Symposium on Information Systems, 2012

Lessons learned from one decade of developing agent-based tools for traffic modeling, simulation, and control: how to make cities smarter.
Proceedings of the 8th Brazilian Symposium on Information Systems, 2012

Um Processo para Avaliação de Balanceamento de Carga em Redes de Transporte Veicular Utilizando Adaptação Heurística.
Proceedings of the 8th Brazilian Symposium on Information Systems, 2012

An Epsilon-Greedy Mutation Operator Based on Prior Knowledge for GA Convergence and Accuracy Improvement: An Application to Networks Inference.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

On the Ensemble Prediction of Gene Regulatory Networks: A Comparative Study.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Orchestrating Multiagent Learning of Penalty Games.
Proceedings of the Advances in Artificial Intelligence - SBIA 2012, 2012

Coordinating many agents in stochastic games.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Reverse engineering of GRNs: an evolutionary approach based on the tsallis entropy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Co-evolution of the dynamics in population games: the case of traffic flow assignment.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Break with agents who listen to too many others (at least when making Boolean decisions!).
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Combining independent and joint learning: a negotiation based approach.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Agent-based simulation of mobility in real-world transportation networks: effects of acquiring information and replanning en-route.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011
Emerging Cooperation in the Spatial IPD with Reinforcement Learning and Coalitions.
Proceedings of the Intelligent Decision Systems in Large-Scale Distributed Environments, 2011

Learning to cooperate in the Iterated Prisoner's Dilemma by means of social attachments.
J. Braz. Comput. Soc., 2011

Network of collaboration among PC members of Brazilian computer science conferences.
J. Braz. Comput. Soc., 2011

Improving recommendations through an assumption-based multiagent approach: An application in the tourism domain.
Expert Syst. Appl., 2011

Towards efficient multiagent task allocation in the RoboCup Rescue: a biologically-inspired approach.
Auton. Agents Multi Agent Syst., 2011

Dealing with continuous-state reinforcement learning for intelligent control of traffic signals.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

Traffic light control in non-stationary environments based on multi agent Q-learning.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

Self-adaptation in a network of social drivers: using random boolean networks.
Proceedings of the 2011 workshop on Organic computing, 2011

Dealing with Coalition Formation in the RoboCup Rescue - An Heuristic Approach.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011

Evolving random boolean networks with genetic algorithms for regulatory networks reconstruction.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Decision-Making Using Random Boolean Networks In The El Farol Bar Problem.
Proceedings of the 25th European Conference on Modelling and Simulation, 2011

Extending Traffic Simulation Based On Cellular Automata: From ParticlesTo Autonomous Agents.
Proceedings of the 25th European Conference on Modelling and Simulation, 2011

2010
Learning in groups of traffic signals.
Eng. Appl. Artif. Intell., 2010

Bribe and Punishment: Effects of Signaling, Gossiping, and Bribery in Public Goods Games.
Adv. Complex Syst., 2010

RoboCup Rescue as multiagent task allocation among teams: experiments with task interdependencies.
Auton. Agents Multi Agent Syst., 2010

Reinforcement Learning Method for BioAgents.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Improving Space Representation in Multiagent Learning via Tile Coding.
Proceedings of the Advances in Artificial Intelligence - SBIA 2010, 2010

Action Selection and Sequencing in Multiagent Systems: An Approximate Algorithm Based on Swarm Intelligence.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

Assumption-Based Reasoning for Multiagent Case-Based Recommender Systems.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

Distributed clustering for group formation and task allocation.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2009
Opportunities for multiagent systems and multiagent reinforcement learning in traffic control.
Auton. Agents Multi Agent Syst., 2009

Automatic Classification of Enzyme Family in Protein Annotation.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2009

A biologically-inspired distributed clustering algorithm.
Proceedings of the 2009 IEEE Swarm Intelligence Symposium, 2009

An ant based algorithm for task allocation in large-scale and dynamic multiagent scenarios.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Ant-based task allocation among teams.
Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

Agents and Data Mining in Bioinformatics: Joining Data Gathering and Automatic Annotation with Classification and Distributed Clustering.
Proceedings of the Agents and Data Mining Interaction, 4th International Workshop, 2009

A Multiagent, Multiobjective Clustering Algorithm.
Proceedings of the Data Mining and Multi-agent Integration, 2009

Multiagent Learning on Traffic Lights Control.
Proceedings of the Multi-Agent Systems for Traffic and Transportation Engineering., 2009

2008
Optimizing Preferences within Groups: A Case Study on Travel Recommendation.
Proceedings of the Advances in Artificial Intelligence, 2008

Re-routing Agents in an Abstract Traffic Scenario.
Proceedings of the Advances in Artificial Intelligence, 2008

Special track on Advances in Computer Simulation (ACS): editorial message.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Emerging cooperation in a public goods game with competition.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Evaluating the performance of DCOP algorithms in a real world, dynamic problem.
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

Simulating the effects of sanctioning for the emergence of cooperation in a public goods game.
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

Applying a Distributed Swarm-Based Algorithm to Solve Instances of the RCPSP.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2008

A Multiagent Recommender System with Task-Based Agent Specialization.
Proceedings of the Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis, 2008

2007
Adaptation in Games with Many Co-evolving Agents.
Proceedings of the Progress in Artificial Intelligence, 2007

A swarm based approximated algorithm to the extended generalized assignment problem (E-GAP).
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

Distributed constraint propagation for diagnosis of faults in physical processes.
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

To Adapt or Not to Adapt - Consequences of Adapting Driver and Traffic Light Agents.
Proceedings of the Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 2007

Recommending Travel Packages Upon Distributed Knowledge.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Dealing with non-stationary environments using context detection.
Proceedings of the Machine Learning, 2006

Reinforcement Learning based Control of Traffic Lights in Non-stationary Environments: A Case Study in a Microscopic Simulator.
Proceedings of the 4th European Workshop on Multi-Agent Systems EUMAS'06, 2006

An agent-based simulation of pedestrian dynamics: from lane formation to auditorium evacuation.
Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

ITSUMO: an Intelligent Transportation System for Urban Mobility.
Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

Improving reinforcement learning with context detection.
Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

Using Swarm-GAP for Distributed Task Allocation in Complex Scenarios.
Proceedings of the Massively Multi-Agent Technology, AAMAS Workshops, 2006

Congestion tolls as utility alignment between agent and system optimum.
Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

Traffic Lights Control with Adaptive Group Formation Based on Swarm Intelligence.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2006

RL-CD: Dealing with Non-Stationarity in Reinforcement Learning.
Proceedings of the Proceedings, 2006

2005
Multi-agent Systems and Machine Learning Facilitating Genome Annotation.
RITA, 2005

A Distributed Approach for Coordination of Traffic Signal Agents.
Auton. Agents Multi Agent Syst., 2005

Selection of Data Sets of Motifs as Attributes in the Process of Automating the Annotation of Proteins' Keywords.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2005

Implicit Coordination in a Network of Social Drivers: The Role of Information in a Commuting Scenario.
Proceedings of the Learning and Adaption in Multi-Agent Systems, 2005

Emerging collective behavior in a simple artificial financial market.
Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005

Using cooperative mediation to coordinate traffic lights: a case study.
Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005

Integrating Knowledge Through Cooperative Negotiation - A Case Study in Bioinformatics.
Proceedings of the Autonomous Intelligent Systems: Agents and Data Mining, 2005

Reducing the Effects of the Braess Paradox with Information Manipulation.
Proceedings of the Applications of Agent Technology in Traffic and Transportation, 2005

2004
Simulation Studies on Adaptive Route Decision and the Influence of Information on Commuter Scenarios.
J. Intell. Transp. Syst., 2004

Route Decision Behaviour in a Commuting Scenario: Simple Heuristics Adaptation and Effect of Traffic Forecast.
J. Artif. Soc. Soc. Simul., 2004

Using the A3C System for Annotation of Keywords - A Case Study.
Proceedings of the III Brazilian Workshop on Bioinformatics, 2004

An Agent-Based System for Re-annotation of Genomes.
Proceedings of the III Brazilian Workshop on Bioinformatics, 2004

Improving Rule Induction Precision for Automated Annotation by Balancing Skewed Data Sets.
Proceedings of the Knowledge Exploration in Life Science Informatics, 2004

ITSUMO: An Intelligent Transportation System for Urban Mobility.
Proceedings of the Innovative Internet Community Systems, 4th InternationalWorkshop, 2004

A Swarm Based Approach for Task Allocation in Dynamic Agents Organizations.
Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

A Case Study on the Role of Information For Implicit Coordination.
Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

A Swarm-Based Approach for Selection of Signal Plans in Urban Scenarios.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2004

2003
ATUCG - An Agent-Based Environment for Automatic Annotation of Genomes.
Int. J. Cooperative Inf. Syst., 2003

Balancing Training Data for Automated Annotation of Keywords: a Case Study.
Proceedings of the II Brazilian Workshop on Bioinformatics, 2003

Selection of information types based on personal utility: a testbed for traffic information markets.
Proceedings of the Second International Joint Conference on Autonomous Agents & Multiagent Systems, 2003

2002
A comparision between Symbolic and non-symbolic machine learning techniques in automated annotation of the "Keywords" field of SWISS-PROT.
Proceedings of the I Brazilian Workshop on Bioinformatics, 2002

A semi-automatic Methodology for localization of Short Mitochondrial Genes in Long Sequences.
Proceedings of the I Brazilian Workshop on Bioinformatics, 2002

Creation of a Hidden Markov Model for Preliminary Identification and Characterization of Subfamily Signature in Serpin Proteins Superfamily.
Proceedings of the I Brazilian Workshop on Bioinformatics, 2002

Extending the Computational Study of Social Norms with a Systematic Model of Emotions.
Proceedings of the Advances in Artificial Intelligence, 2002

Automated annotation of keywords for proteins related to mycoplasmataceae using machine learning techniques.
Proceedings of the European Conference on Computational Biology (ECCB 2002), 2002

Simulation of adaptive agents: learning heuristics for route choice in a commuter scenario.
Proceedings of the First International Joint Conference on Autonomous Agents & Multiagent Systems, 2002

AgentSpeak(XL): efficient intention selection in BDI agents via decision-theoretic task scheduling.
Proceedings of the First International Joint Conference on Autonomous Agents & Multiagent Systems, 2002

A domain-independent diagnosis tool to adapt organizations in learning scenarios.
Proceedings of the First International Joint Conference on Autonomous Agents & Multiagent Systems, 2002

2001
A framework for the simulation of agents with emotions.
Proceedings of the Fifth International Conference on Autonomous Agents, 2001

2000
Evolving Populations of Agents with Personalities in the Minority Game.
Proceedings of the Advances in Artificial Intelligence, 2000

Wayward Agents in a Commuting Scenario (Personalities in the Minority Game).
Proceedings of the 4th International Conference on Multi-Agent Systems, 2000

1999
Agents in Traffic Modelling - From Reactive to Social Behaviour.
Proceedings of the KI-99: Advances in Artificial Intelligence, 1999

1998
Moral Sentiments in Multi-Agent Systems.
Proceedings of the Intelligent Agents V, 1998

1997
An evolutionary game-theoretical approach for coordination of traffic signal agents.
PhD thesis, 1997

1996
Coordination Among Individually-Motivated Agents: An Evolutionary Approach.
Proceedings of the Advances in Artificial Intelligence, 1996

Evolution of Coordination as a Metaphor for Learning in Multi-Agent Systems.
Proceedings of the Distributed Artificial Intelligence Meets Machine Learning, 1996


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