Ana Lúcia C. Bazzan
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Short vitae
 Publications
MAS lab.
 AI group
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Anna Akhmatova by Nathan Altman (1916)
Front Cover

book "Introduction to Intelligent Systems in Traffic and Transportation"

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

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

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

visit our website Traffic: Facts and Fun


Short Vitae

I am full professor at the Institute of Informatics here at UFRGS (Universidade Federal do Rio Grande do Sul), which has been consistently ranked among the top 5 universities in Brazil. I belong to the research group on Artificial Intelligence (please take a look at our page, in Portuguese only). Our ongoing projects are related to Autonomous Agents and Multiagent Systems, Machine Learning, Robotics and many others.

My own research interests also include: Use of Game-Theoretic Paradigms for Coordination of Agents (Minority Game, Iterated Prisoner's Dilemma, Public Goods Game, Congestion Games, etc.), Learning in MAS, Agent-based Simulation, Artificial Societies, Complex Systems, Traffic Simulation and Control, Distributed Machine Learning, and Swarm Intelligence

I received my PhD in Computer Science in 1997 from the Informatik Fakultät at the Univ. of Karlsruhe (IPR institute) in Karlsruhe, Germany, supported by the Brazilian government (CNPq).

My previous degrees are in Engineering from the Politechnic School (POLI) of the Univ. of São Paulo in São Paulo, Brazil, and MSc. in Computer Science from the Institute of Informatics at the Univ. of Rio Grande do Sul in Porto Alegre.

From 1997 to 1998, I had a postdoc research associate position in the Multi-Agent Systems Laboratory at the University of Massachusetts in Amherst, under supervision of Prof. Victor Lesser. There, I was involved in the research project "Enhancing Survivability with Distributed Coordination" (part of DARPA/ITO's Information Survivability program) on Survavibility, Intrusion Detection, and Diagnosis.

From April 2006 to March 2007 I had an appointment at the University of Würzburg (Germany), in the Lehrstühl VI of Prof. F. Puppe, as a fellow of the Alexander von Humboldt Stiftung. I was again a fellow from this foundation in 2014 and 2018 (Humboldt University, Berlin and Technical University Berlin). In 2021-22 I spent one year as fellow of the K�te Hamburguer Kolleg at the RWTH (Technical University Aachen).

I served as general co-chair of AAMAS 2014, the premier conference on autonomous agents and multiagent systems, held in Paris.



Professional Activities

Boards

Related to Conferences

Others

  • Co-editor of the special issue of the journal Transportation Research -- Part C () in 2005, 2010, and 2018. 
  • Co-editor of the book Multi-Agent Systems for Traffic and Transportation. 
  • chair of program committee for the 3rd Braz. Symp. on Bioinformatics (2008)
  • member of the selection committee of the Victor Lesser Distinguished Dissertation Award (2011, 2010), award sponsored by IFAAMAS (the International Foundation for Autonomous Agents and Multiagent Systems)

Publications

(sorry, not always updated. For a complete list of publications and respective downloads,
please access our Pergamus search engine)



Selected publications 


journals

books and book chapters

peer reviewed conferences

all


NEW:

  • BAZZAN, A. L. C. Similar Yet Different: the Structure of Social Networks of Characters in Seinfeld, Friends, How I Met Your Mother, and The Big Bang Theory. Open access at R.I.T.A. 27(4), 2020. This paper uses tools from network theory to compare four TV sitcoms.

  • Guilherme Dytz dos Santos and BAZZAN, A. L. C. Sharing diverse information gets driver agents to learn faster: an application in en route trip building. Open Access at Peer J Comp. Sc. 2021

  • ZIEMKE, THERESA ; ALEGRE, LUCAS N. BAZZAN, A. L. C. Reinforcement learning vs. rule-based adaptive traffic signal control: A Fourier basis linear function approximation for traffic signal control. AI COMMUNICATIONS, v. 34, p. 1-15, 2021

  • REDWAN, C. S. Z. and BAZZAN, ANA L. C. How hard is for agents to learn the user equilibrium? Characterizing traffic networks by means of entropy. ADVANCES IN COMPLEX SYSTEMS, v. 23, p. 1-32, 2020.

  • BAZZAN, A. L. C. I will be there for you: clique, character centrality, and community detection in Friends. Computational and Applied Mathematics, vol. 39, 2020.

  • ABDOOS, MONIREH and BAZZAN, A. L. C. Hierarchical Traffic Signal Optimization Using Reinforcement Learning and Traffic Prediction with Long-Short Term Memory. Expert Systems with Applications, 171, 2020.



    • JOURNALS:

    BOOKS, BOOK CHAPTERS AND EDITED BOOKS:

    PEER-REVIEWED CONFERENCES:

    • BAZZAN, A. L. C.. Accelerating the Computation of Solutions in Resource Allocation Problems Using an Evolutionary Approach and Multiagent Reinforcement Learning. In: International Conference on the Applications of Evolutionary Computation, 2018, Parma. Proc. of the 21st International Conference on the Applications of Evolutionary Computation, 2018. p. 185-201.

    • Chamby-Diaz, Jorge C. ; RECAMONDE-MENDOZA, M. ; BAZZAN, A. L. C. . Adaptive Incremental Gaussian Mixture Network for Non-Stationary Data Stream Classification. In: International Joint Conference on Neural Networks (IJCNN), 2018. Proc. of the 2018 International Joint Conference on Neural Networks (IJCNN), 2018. p. 2735-2742.

    • GRUNITZKI, RICARDO ; SILVA, B. C. DA ; BAZZAN, A. L. C. . Towards Designing Optimal Reward Functions in Multi-Agent Reinforcement Learning Problems. In: International Joint Conference on Neural Networks (IJCNN), 2018. Proc. of the 2018 International Joint Conference on Neural Networks (IJCNN), 2018. p. 3992-3999.

    • DE OLIVEIRA, THIAGO B.F. ; BAZZAN, A. L. C. ; SILVA, B. C. DA ; GRUNITZKI, RICARDO . Comparing Multi-Armed Bandit Algorithms and Q-learning for Multiagent Action Selection: a Case Study in Route Choice. In: International Joint Conference on Neural Networks (IJCNN), 2018. Proc. of the 2018 International Joint Conference on Neural Networks (IJCNN), 2018. p. 4000-4007.

    • Lemos, Liza L. ; BAZZAN, A. L. C. ; Marcia Pasin . Co-adaptive Reinforcement Learning in Microscopic Traffic Systems. In: IEEE Congress on Evolutionary Computation (CEC), 2018. Proc. of the 2018 IEEE Congress on Evolutionary Computation (CEC), 2018. p. 1461-1468.

    • Gabriel de Oliveira Ramos ; SILVA, B. C. DA ; BAZZAN, A. L. C. . Learning to Minimise Regret in Route Choice. In: International Joint Conference on Autonomous Agents and Multiagents Systems (AAMAS), 2017, S�o Paulo. Proc of the International Joint Conference on Autonomous Agents and Multiagents Systems (AAMAS 2017), 2017. p. 846-855.

    • Fernando dos Santos ; NUNES, Ingrid ; BAZZAN, A. L. C. . Supporting the Development of Agent-Based Simulations: A DSL for Environment Modeling. In: Annual International Computers, Software & Applications Conference (COMPSAC), 2017, Turin. Proc. of the IEEE 41st Annual Computer Software and Applications Conference, 2017. p. 170-179.

    • ALVES, MATHEUS ; BAZZAN, A. L. C. ; RECAMONDE-MENDOZA, M. . Social-Training: ensemble learning with voting aggregation for semi-supervised classification tasks. In: Brazilian Conference on Intelligent Systems (BRACIS), 2017, Uberl�ndia. Proc. of the BRACIS 2017, 2017. p. 7-12.

    • GRUNITZKI, RICARDO ; BAZZAN, A. L. C. . Comparing Two Multiagent Reinforcement Learning Approaches for the Traffic Assignment Problem. In: Brazilian Conference on Intelligent Systems (BRACIS), 2017, Uberl�ndia. Proc. of the BRACIS 2017, 2017. p. 139-144.

    • RAMOS, GABRIEL DE O. ; BAZZAN, ANA L. C. . Efficient local search in traffic assignment. In: 2016 IEEE Congress on Evolutionary Computation (CEC), 2016, Vancouver. 2016 IEEE Congress on Evolutionary Computation (CEC), 2016. p. 1493-1500.

    • BAZZAN, ANA L. C.; GRUNITZKI, RICARDO . A multiagent reinforcement learning approach to en-route trip building. In: 2016 International Joint Conference on Neural Networks (IJCNN), 2016, Vancouver. 2016 International Joint Conference on Neural Networks (IJCNN). p. 5288-5295.

    • AGATZ, NIELS ; BAZZAN, ANA L. C. ; KUTADINATA, RONNY ; MATTFELD, DIRK CHRISTIAN ; SESTER, MONIKA ; WINTER, STEPHAN ; WOLFSON, OURI . Autonomous car and ride sharing: flexible road trains. In: the 24th ACM SIGSPATIAL International Conference, 2016, Burlingame. Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - GIS '16. New York: ACM Press. p. 1-10:4.

    • DE SOUZA, MARCELO ; RITT, MARCUS ; BAZZAN, ANA L. C. . A bi-objective method of traffic assignment for electric vehicles. In: 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), 2016, Rio de Janeiro. 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), 2016. p. 2319-2324.

    • RAMOS, GABRIEL DE O. ; BAZZAN, ANA L. C. . Towards the User Equilibrium in Traffic Assignment using GRASP with Path Relinking. In: Genetic and Evolutionary Computation Conference (GECCO), 2015, Madrid. Proc. of the GECCO 2015. New York: ACM, 2015. p. 473-480.

    • XIONG, Y. ; GAN, J. ; AN, B. ; MIAO, C. ; BAZZAN, ANA L. C. . Optimal Electric Vehicle Charging Station Placement. In: International Joint Conference on Artificial Intelligence (IJCAI), 2015, Buenos Aires. Proc. of the IJCAI 2015. Menlo Park: AAAI, 2015. p. 2662-2668.

    • HASAN, M. ; RAJA, A. ; BAZZAN, ANA L. C. Fast Convention Formation in Dynamic Networks using Topological Knowledge. In: AAAI Conference on Artificial Intelligence (AAAI 2015), 2015, Austin. Proc. of the 29th AAAI Conference on Artificial Intelligence (AAAI 2015). Menlo Park: AAAI Press, 2015.

    • BAZZAN, ANA L. C. ; CHIRA, C. . Hybrid Evolutionary and Reinforcement Learning Approach to Accelerate Traffic Assignment (extended abstract). In: Proc. of the 14th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2015.

    • CAGARA, D. ; BAZZAN, A. L. C. ; SCHEUERMANN, B. . Getting You Faster to Work - A Genetic Algorithm Approach to the Traffic Assignment Problem. In: Companion to the proc. of the GECCO 2014. New York: ACM, 2014. p. 105-106.

    • LEVIT, V. ; GRINSHPOUN, T. ; MEISELS, A. ; BAZZAN, A. L. C. . Taxation Search in Boolean Games. In: AAMAS 2013, 2013, Minneapolis. Proc. of the AAMAS 2013, 2013. p. 183-190.

    • ACHING, J. ; OLIVEIRA, T. B. F. ; BAZZAN, A. L. C. raffic Information Extraction from a Blogging Platform using Knowledge-based Approaches and Bootstrapping. In: IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS), 2014, Orlando. Proc. of the IEEE SSCI 2014, 2014. p. 6-13.

    • KOSTER, ANDREW ; TETTAMANZI, ANDREA ; BAZZAN, ANA L. C. ; DA COSTA PEREIRA, CELIA . Using trust and possibilistic reasoning to deal with untrustworthy communication in VANETs. In: 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013). p. 2355-2360.

    • BAZZAN, A. L. C. Comparing Reinforcement Learning and Evolutionary Based Adaptation in Population Games. In: European Conference on Artificial Life 2013, 2013. Advances in Artificial Life, ECAL 2013. p. 909-916.

    • Epstein, Daniel ; BAZZAN, A. L. C. Distributed Coalition Structure Generation with Positive and Negative Externalities. In: 16th Portuguese Conference on Artificial Intelligence, 2013, Angra do Heroismo, A�ores. Proc. of the EPIA 2013, 2013. p. 408-419.

    • BAZZAN, A. L. C. Paying the price of learning independently in route choice. In: 16th Portuguese Conference on Artificial Intelligence, 2013, Angra do Heroismo, A�ores. Proc. of the EPIA 2013, 2013. p. 42-53.

    • BAZZAN, A. L. C. Coordinating many agents in stochastic games. In: 2012 International Joint Conference on Neural Networks (IJCNN 2012 Brisbane), 2012, Brisbane. The 2012 International Joint Conference on Neural Networks (IJCNN). p. 1-8.

    • Mariana Recamonde Mendoza ; LOPES, F. M. ; BAZZAN, A. L. C. . Reverse engineering of GRNs: an evolutionary approach based on the Tsallis entropy. In: Genetic and Evolutionary Computation Conference, 2012, Philadelphia. Proc. of the GECCO 2012, 2012.

    • Maicon de Brito do Amarante ; BAZZAN, A. L. C. . Agent-based simulation of mobility in real-world transportation networks. In: proceedings of the Eleventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), 2012. v. 1. p. 1351-1352.

    • Epstein, Daniel ; BAZZAN, A. L. C. ; Andr� M. Machado . Break with agents who listen to too many others (at least when making boolean decisions!). In: Proceedings of the Eleventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), 2012. v. 1. p. 1389-1390.

    • Reinaldo Bianchi ; BAZZAN, A. L. C. . Combining Independent and Joint Learning: a Negotiation based Approach. In: Proceedings of the Eleventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), 2012. v. 1. p. 1395-1396.

    • SANTOS, D. S. ; BAZZAN, A. L. C. . Distributed Clustering for Group Formation and Task Allocation. In: Proc. of the 9th Int. Joint Conf. on Autonomous Agents and Multiagent Systems (AAMAS), 2010. v. 1.

    • Andr� M. Machado ; BAZZAN, A. L. C. . Self-Adaptation in a Network of Social Drivers: using Random Boolean Networks. In: Organic Computing Workshop @ ICAC, 2011, Karlsruhe. Proc. of the Organic Computing Workshop, 2011. v. 1. p. 33-40.

    • BAZZAN, A. L. C. ; Maicon de Brito do Amarante ; Alexander Javier Benavides ; BURIOL, L. S. ; RITT, M. P. ; Tiago Sommer . Extending traffic simulation based on cellular automata: from particles to autonomous agents. In: Proc. of the Agent Based Simulation (ABS) / ECMS (European Conference on Modelling and Simulation), 2011. v. 1. p. 91-97.

    • Mariana Recamonde Mendoza ; BAZZAN, A. L. C. . Evolving Random Boolean Networks with Genetic Algorithms for Regulatory Networks Reconstruction. In: Genetic and Evolutionary Computation Conference, 2011, Dublin. Proc. of the GECCO' 11. New York: ACM, 2011. v. 1. p. 291-298.

    • Milton R. Heinen ; BAZZAN, A. L. C. ; ENGEL, P. M. . Dealing with Continuous-State Reinforcement Learning for Intelligent Control of Traffic Signals. In: Conference on Intelligent Transportation Systems, 2011, Washington. Proc. of the IEEE Intelligent Transportation Systems, 2011.

    • LORENZI, F. ; Abel, Mara ; RICCI, F. ; BAZZAN, A. L. C. . Assumption-Based Reasoning for Multiagent Case-Based Recommender Systems. In: Florida Artificial Intelligence Research Society, 2010, Daytona Beach. Proc. of the FLAIRS-23, 2010.

    • SANTOS, F.  ; BAZZAN, A. L. C. . Ant Based Multiagent Algorithm for Task Allocation in Large Scale and Dynamic Scenarios. In: GECCO, 2009, Montreal. Proceedings of the GECCO 2009, 2009.
    • SANTOS, D. ; BAZZAN, A. L. C. .  A biologically-inspired distributed clustering algorithm. In: Proc. of the IEEE Swarm Intelligence Symposium (2009 Mar. : Nashville, TN), p. 160-167.
    • JUNGES, R. ; BAZZAN, A. L. C. . Evaluating the Performance of DCOP Algorithms in a Real World, Dynamic Problem. In: Seventh International Joint Conference on Autonomous Agents and Multi-Agent Systems, 2008, Estoril. Proc. of the Seventh International Joint Conference on Autonomous Agents and Multi-Agent Systems, 2008. v. 2. p. 599-606.
    • BAZZAN, A. L. C. ; KLUEGL, F. . Re-Routing Agents in an Abstract Traffic Scenario. In: SBIA, 2008, Salvador. Lecture Notes of Artificial Intelligence, 2008. v. 5249, p. 63-72.
    • BAZZAN, A. L. C.   Traffic as a Complex System: Four Challenges for Computer Science and Engineering. In: XXXIV SEMISH, 2007, Rio de Janeiro. v. 1. p. 2128-2142. (download here)
    • BAZZAN, A. L. C. ; KLUEGL, F. ; Kai Nagel . Adaptation in Games with Many Co-evolving Agents. In: EPIA, 2007, Guimarães. Proceeding of the EPIA 2007. Berlin Heidelberg : Springer, 2007. v. 4874. p. 195-206.
    • SILVA, B. C. DA ; BASSO, E. W. ; BAZZAN, A. L. C. ; ENGEL, P. M. . Dealing with Non-Stationary Environments using Context Detection. In: 23rd International Conference on Machine Learning (ICML 2006), 2006, Pittsburgh. Proc. of the, 2006. p. 217-224.
    • OLIVEIRA, D. ; BAZZAN, A. L. C. ; LESSER, V. Using Cooperative Mediation to Coordinate Traffic Lights: a Case Study. In: Fourth International Joint Conference on Autonomous Agents and Multiagent Systems on Autonomous Agents and Multi Agent Systems, 2005, Utrecht. Proc. of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems on Autonomous Agents and Multi Agent Systems. New York : ACM, 2005. v. 1. (download here)
    • SILVA, R. ; BAZZAN, A. L. C. ; BARAVIERA, A. ; DAHMEN, S. R. . Emerging Collective Behavior in a Simple Artificial Financial Market. In: Fourth International Joint Conference on Autonomous Agents and Multiagent Systems on Autonomous Agents and Multi Agent Systems, 2005, Utrecht. Proc. of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems on Autonomous Agents and Multi Agent Systems. New York : ACM, 2005. v. 1.
    • SANTOS, C. T. ; BAZZAN, A. L. C. . Integrating Knowledge through Cooperative Negotiation -- A Case Study in Bioinformatics. In: Int. Workshop on Autonomous Intelligent Agents: Agents and Data Mining, 2005, St. Petersburg. LNAI 3505 (Proc. of the Int. Workshop on Autonomous Intelligent Agents: Agents and Data Mining), 2005. v. 3505. p. 277-288. (download here)
    • OLIVEIRA, D., FERREIRA JR., P. R., BAZZAN, A. L. C., KLUEGL, F. A Swarm-based Approach for Selection of Signal Plans in Urban Scenarios. In: IV International Workshop on Ant Colony Optimization and Swarm Intelligence (ANTS 2004), 2004, Brussels. Proc of the IV International Workshop on Ant Colony Optimization and Swarm Intelligence. (download here)
    • KLUEGL, F., BAZZAN, A. L. C. A Case Study On The Role Of Information For Implicit Coordination. In: Third Int. Joint Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004, (ext. abstr. available here).
    • OLIVEIRA, D., FERREIRA JR., P. R., BAZZAN, A. L. C. A Swarm Based Approach for Task Allocation in Dynamic Agents Organizations. In: Third Int. Joint Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004, (ext. abstr. available here).
    • ALMEIDA, L. B., SILVA, B. C., BAZZAN, A. L. C.  Towards a physiological model of emotions: first steps. In: AAAI Spring Symposium Series: Workshop on Architectures for Modeling Emotion: Cross-Disciplinary Foundations, 2004, Palo Alto. Proc. of the 2004 AAAI Spring Symposium Series. AAAI, 2004. (download available here)
    • KLUEGL, F., BAZZAN, A. L. C., WAHLE, J. Selection of Information Types Based on Personal Utility - a Testbed for Traffic Information Markets In: Second Int. Joint Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2003), 2003, Melbourne.
    • BORDINI, R., BAZZAN, A. L. C., JANNONE, R., BASSO, D., VICCARI, R., LESSER, V.   Agent-Speak (XL): Efficient Intention selection in BDI agents via Decision-Theoretic Task Scheduling In:   First Int. Joint Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2002), 2002, Bologna, Italy. New York: ACM, 2002.  V. 3, p. 1294-1302. (Download available here)
    • KLUEGL, F., BAZZAN, A. L. C.    Simulation of Adaptive Agents: Learning Heuristics for Route Choice in a Commuter Scenario In: First   Int. Joint Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2002), 2002, Bologna, Itália. (download here)
    • BAZZAN, A. L. C., LINDEMANN, V., LESSER, V.    A Domain-Independent Diagnosis Tool to Adapt Organizations in Learning Scenarios In: First Int. Joint  Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2002), 2002, Bologna.
    • BAZZAN, A. L. C., BORDINI, R.   A Framework for the Simulation of Agent with Emotions: Report on Experiments with the Iterated Prisoner`s Dilemma In: The 5th Int. Conference on Autonomous Agents, 2001, Montreal, 2001. New York : ACM. 2001.  p. 292-299. (Please go to the project's page for details and downloads)
    • Horling, Bryan, Lesser, Victor, Vincent, Regis, Bazzan, Ana, and Xuan, Ping.   Diagnosis as an Integral Part of  Multi-Agent Adaptability [PS] [HTML] . In Proceedings of DARPA Information Survivability Conference and Exposition (see also UMASS CSTR 1999-03), pp. 211-219, Hilton Head, South Carolina, January, 2000, IEEE Computer Society. 
    • BAZZAN, A. L. C., BORDINI, R.H., ANDRIOTTI, G. K., VICCARI, R., WAHLE, J.   Wayward Agents in a Commuting Scenario (Personalities in the Minority Game). In Proc. of the Fourth International Conference on Multi-Agent Systems (ICMAS'2000), Boston, July 7-12.  Los Alamitos : IEEE Computer Society, 2000.  p. 55-62 . (Please go to the project's page for details and downloads)
    • BAZZAN, A. L. C., BORDINI, R., CAMPBELL, J.   Moral Sentiments in Multi-Agent Systems. In: Proc. of the 5th Workshop on Agent Theories, Architectures, and Languages (ATAL 98). Paris, 1998. Also appeared in: Intelligent Agents V (Lecture Notes in Artificial Intelligence, 1555). Springer-Verlag, 1999. (Please go to the project's page for details and downloads)
    • BAZZAN, A. L. C., WAHLE, J., KLUEGL, F.   Agents in Traffic Modelling - from Reactive to Social Behaviour. [pdf] In: KI'99 (German Conference on Artificial Intelligence). Published as Advances in Artificial Intelligence (Lecture Notes in Artificial Intelligence 1701). Berlin/Heidelberg : Springer, 1999. Also appeared in Proc. of the U.K. Special Interest Group on Multi-Agent Systems (UKMAS´99), Bristol, UK.
    • BAZZAN, A. L. C.   Evolution of Coordination as a Metaphor for Learning in Multi-Agent Systems. In: Proc. of the ECAI'96 Workshop on Learning in DAI Systems, Budapeste, 1996. Also appeared in: Weiss, G. (ed.): Machine Learning meets DAI (Lect. Notes in Art. Intelligence 1221), Springer, 1997.
    • BAZZAN, A. L. C.   A Game-Theoretic Approach to Distributed Control of Traffic Signals (extended abstract). In: Proc. of the ICMAS'95 (First International Conference on Multi-Agent Systems), June 1995, San Francisco, California, USA


    Courses / Disciplinas

    I normally teach INF 5004 (Advanced AI / Int. Artificial Avançada), Introduction to Multiagent Systems, Introduction to Algorithms, and courses on selected topics such as Swarm Intelligence / Social Insect Colony Inspired Computation, Game Theory, Boolean networks. Please notice that, regarding these courses, pages are available at Moodle (in Portuguese). Courses in previous semesters: INF 5013 (Symbolic and Numerical Computation / Computação Simbólica e Numérica), INF5508 (Lógica para Computação), and Coordination of Agents using Game Theoretic Techniques (for graduate students). Slides of my talks regarding this and other topics (some in Portuguese) can be downloaded (see links below).


    Research Projects

    • Project Coordination and Task Allocation in Disaster Scenarios Using Swarm Intelligence and Multiagent Techniques (funded by AFOSR, Air Force Office of Scientific Research)
    • Our projects on Urban Mobility
    • RS-SOC-- Rede Estadual de Simulação Social (Ed. PRONEX 2009)
    • LabTrans-- Laboratório Computacional para simulação e testes de políticas relativas `a Mobilidade em Sistemas Inteligentes de Transporte (Ed. Fundo Transportes 2009)
    • Project SIMTUR -- Sistema Inteligente para Monitoramento de Tráfego Urbano (CTIC / RNP)
    • Former projects:
    • MOBIL -- MOdelagem de controle e roteamento de demanda em sistemas inteligentes de transporte: utilizando amBIentes de simulação muLtiagente (Ed. Universal 2008)
    • Project Large Scale Agent-based Traffic Simulation for Predicting Traffic Conditions (PROBRAL CAPES-DAAD)
    •  SISCOT (development of a microscopic traffic simulator)
    • SOCIAT (Simulation of Social Agents in Traffic) 
    • SURVIVE (project on experimental economics, game-theory, and traffic)
    • CUCLA - Combining Cognitive and Utilitarian Coordination in a Layered Agent Architecture (Research project funded by CNPq and NSF)

    • MAS and Bioinformatics page and the  ATUCG and A3C projects on developing an environment for annotation of genomes

    • Our work on Emotion and Personalitiy in Agents



      • Areas of Interest and Useful Links

    • Slides of the tutorial entitled "Multiagent Systems and Agent-based Modeling and Simulation" given at the PPSN 2018 (September 2018): (download here).

    • Slides of the invited talk entitled "Traffic control and simulation using techniques from autonomous agents and multiagent systems: overview on achievements and future perspectives" given at the XXIV ANPET Meeting in Salvador (November 2010): (download here).

    • Slides (in Portuguese) of the Course entitled "IA Multiagente: Mais Inteligência, Mais Desafios" given at the JAI during the SBC meeting in Belo Horizonte (July 2010): (download here). Full text of the tutorial notes available here.

    • Slides (in Portuguese) of the Course entitled "Otimizacão em Sistemas Multiagentes" given during the CADSC 2010 (Escola de Computacão in S. Carlos (August 2010): (download here).

    • Slides (in Portuguese) of the Course entitled "Sistemas inteligentes de transporte e tráfego: uma abordagem de tecnologia da informacão" given at the JAI during the SBC meeting in Rio de Janeiro (July 2007): (introducão), (controle e simulacão), (ATIS), and (automacão, desafios futuros, simulacão de pedestres). Full text of the tutorial available here.

    • Slides (in Portuguese) of the Course on Game-Theoretic Techniques for Coordination of Agents given at the SBC meeting in Fortaleza (July 2001): MAS part, Game Theory part, and Aplications part.

    • Wiki of Maslab

    • news, lists and links for Multiagent systems, Agents, and Agent-based modelling

    • Artificial Intelligence:   CMU repository, AI journals, AI (and other CS) conferences 

    • Game Theory :   Microeconomics and one more  site on game theory

    • Conferences:  AAMAS ,  ITS (intelligent transportation systems)

    • Source of bibliography in CS:  ACM Portal,  DBLP (Uni Trier), citeseer

     ... and other stuff

     Contact

    Ana Bazzan

    e-mail: bazzan @@@ inf.ufrgs.br

    Instituto de Informatica

    Caixa Postal 15064, 91.501-970

    Porto Alegre, RS, Brazil

    Phone: +55 51 3308 6823

    Fax: +55 51 3308 7308




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