Integração de Aprendizado de Máquina em Agentes BDI: Gerenciamento de Crenças para Simular Comportamentos
Resumo
Este trabalho propõe a integração de algoritmos de aprendizagem em agentes BDI. Inicialmente será abordado como a aprendizagem pode ser incorporada às crenças do agente. Para tal será utilizado do aprendizado supervisionado e verificar-se-á a diferença entre dois casos: o agente com e sem treinamento prévio antes de tomar as decisões. Buscar-se-á avaliar qual dessas alternativas mais se adequa ao caso apresentado e para validar todo o estudo. Para isso serão observados dados provindo de datasets relacionados ao comportamento das entidades relevantes. Dessa forma o agente poderá simular ações e cenários para predizer acontecimentos.Referências
Guy, S.J., Lin, M.C., & Manocha, D. (2010). Modeling collision avoidance behavior for virtual humans. In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems(AAMAS’10) (pp. 575–582).
Gelaim, Thiago A. Silveira, Ricardo A. Marchi, Jerusa. Modelo de Agentes EBDI Integrando Confiança em Sistemas Multi-Contexto. Universidade Federal de Santa Catarina, 2016.
Rafael H. Bordini, Jomi Fred Hubner, Michael Wooldridge: Programming Multi-Agent Systems in AgentSpeak using Jason. ser. Wiley Series in Agent Technology. John Wiley & Sons Ltd (2007)
Anand S. Rao: AgentSpeak(L): BDI agents speak out in a logical computable language. In: Van de Velde, Walter and Perram, J. W. (eds.): Agents Breaking Away. Lecture Notes in Computer Science 1038, 42–55, Springer Berlin Heidelberg (1996)
Wooldridge, M. Intelligent agents: The key concepts. In: Multi-Agent Systems and Applications II. [S.l.]: Springer, 2002. p. 3–43.
Wooldridge, M. Reasoning about Rational Agents. [S.l.]: MIT Press, 2000. ISBN 9780262265027.
Rao, A. S.; Georgeff, M. P. et al. BDI agents: From theory to practice. In: ICMAS. [S.l.: s.n.], 1995. v. 95, p. 312–319.
Badica, Amelia et al. Simulation of Dynamic Systems Using BDI Agents: Initial Steps. Springe, 2017.
Son, Young-Jun. Kim, Sojung. Xi, Hui. An extended BDI model for human behaviors: Decision-making, learning, interactions, and applications. Winter Simulations Conference, 2013.
Singh, Dhirendra. Sardina, Sebastian, Padgham, Lin. Integrating Learning into a BDI Agent for Environments with Changing Dynamics. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence.
Graham, James. Starzyk, Janusz A. Jachyra, Daniel. Opportunistic Behavior in Motivated Learning Agents. IEEE Transactions on Neural Networks and Learning Systems, 2015.
Loftin, Robert. Et al. Learning behaviors via human-delivered discrete feedback: modeling implicit feedback strategies to speed up learning. Autonomous Agents and Multiagent Systems(AAMAS) (pp. 30–59), 2015.
Zhong, Jinghui. et al. Learning behavior patterns from video for agent-based crowd modeling and simulation. Autonomous Agents and Multiagent Systems(AAMAS) (pp. 990–1019), 2016.
Gelaim, Thiago A. Silveira, Ricardo A. Marchi, Jerusa. Modelo de Agentes EBDI Integrando Confiança em Sistemas Multi-Contexto. Universidade Federal de Santa Catarina, 2016.
Rafael H. Bordini, Jomi Fred Hubner, Michael Wooldridge: Programming Multi-Agent Systems in AgentSpeak using Jason. ser. Wiley Series in Agent Technology. John Wiley & Sons Ltd (2007)
Anand S. Rao: AgentSpeak(L): BDI agents speak out in a logical computable language. In: Van de Velde, Walter and Perram, J. W. (eds.): Agents Breaking Away. Lecture Notes in Computer Science 1038, 42–55, Springer Berlin Heidelberg (1996)
Wooldridge, M. Intelligent agents: The key concepts. In: Multi-Agent Systems and Applications II. [S.l.]: Springer, 2002. p. 3–43.
Wooldridge, M. Reasoning about Rational Agents. [S.l.]: MIT Press, 2000. ISBN 9780262265027.
Rao, A. S.; Georgeff, M. P. et al. BDI agents: From theory to practice. In: ICMAS. [S.l.: s.n.], 1995. v. 95, p. 312–319.
Badica, Amelia et al. Simulation of Dynamic Systems Using BDI Agents: Initial Steps. Springe, 2017.
Son, Young-Jun. Kim, Sojung. Xi, Hui. An extended BDI model for human behaviors: Decision-making, learning, interactions, and applications. Winter Simulations Conference, 2013.
Singh, Dhirendra. Sardina, Sebastian, Padgham, Lin. Integrating Learning into a BDI Agent for Environments with Changing Dynamics. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence.
Graham, James. Starzyk, Janusz A. Jachyra, Daniel. Opportunistic Behavior in Motivated Learning Agents. IEEE Transactions on Neural Networks and Learning Systems, 2015.
Loftin, Robert. Et al. Learning behaviors via human-delivered discrete feedback: modeling implicit feedback strategies to speed up learning. Autonomous Agents and Multiagent Systems(AAMAS) (pp. 30–59), 2015.
Zhong, Jinghui. et al. Learning behavior patterns from video for agent-based crowd modeling and simulation. Autonomous Agents and Multiagent Systems(AAMAS) (pp. 990–1019), 2016.
Publicado
04/05/2017
Como Citar
PERIN, Phellipe D. G.; ROISENBERG, Mauro; SANTOS, Elder R..
Integração de Aprendizado de Máquina em Agentes BDI: Gerenciamento de Crenças para Simular Comportamentos. In: WORKSHOP-ESCOLA DE SISTEMAS DE AGENTES, SEUS AMBIENTES E APLICAÇÕES (WESAAC), 11. , 2017, São Paulo/SP.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2017
.
p. 229-232.
ISSN 2326-5434.
DOI: https://doi.org/10.5753/wesaac.2017.33247.
