Self-Regulation of Social Exchange Processes in MAS: a cultural and evolutionary BDI agent society model
Resumo
Agent interactions are often understood as service exchange processes between pairs of agents, followed by the evaluation of these services by the agents involved, generating social exchange values. For the social equilibrium of the agent society there should be an adequate balance of those values, which can be obtained by the regulation of the social exchange processes by the agents themselves. A hybrid evolutionary model of selfregulation of processes of social exchanges in MAS was proposed for Netlogo. However, certain characteristics involved in social exchanges are more appropriately dealt with BDI agents. This paper proposes to develop a model of agent society composed by cultural evolutionary BDI-like agents, for the self-regulation of processes of social exchanges, using the JaCaMo framework.Referências
Aguiar, M. S. e Toscani, L. V. (1997). Algoritmos genéticos. In I Workshop sobre métodos formais e qualidade de software, pages 78–87, Porto Alegre/RS.
Bordini, R. H., Hübner, J. F., e Wooldridge, M. (2007). Programming Multiagent Systems in AgentSpeak using Jason. University of Liverpoll: Wiley.
Bratman, M. (1987). Intention, plans, and practical reason. Harvard University Press.
Bratman, M. E., Israel, D. J., e Pollack, M. E. (1988). Plans and resource-bounded practical reasoning. Technical Report 425, AI Center, SRI International, 333 Ravenswood Ave., Menlo Park, CA 94025. Revised version.
Darwin, C. (1859). On the Origin of Species. John Murry, London.
Dimuro, G. P., da Rocha Costa, A. C., Gonçalves, L. V., e Pereira, D. R. (2011). Recognizing and learning models of social exchange strategies for the regulation of social interactions in open agent societies. Journal of the Brazilian Computer Society, 17(3):143–161.
Fiani, R. (2006). Teoria Dos Jogos. CAMPUS.
Georgeff, M. P. e Lansky, A. L. (1986). Procedural knowledge. In Proceedings of the IEEE Special Issue on Knowledge Representation, volume 74, pages 1383–1398.
Goldberg, D. (1989). Genetic algorithms in search, optimization, and machine learning. Artificial Intelligence. Addison-Wesley.
Linden, R. (2008). Algoritmos Genéticos. Brasport, 2a edition.
Luck, M. e Wooldridge, M. (2004). The dmars architecture: A specification of the distributed multiagent reasoning system. In Autonomous Agents and Multiagent Systems, pages 1–2.
Macedo, L. F. K. (2013). Uma abordagem evolucionária e espacial para o jogo da autorregulação de processos de trocas sociais em sistemas multiagentes. Dissertação de mestrado, Universidade Federal do Rio Grande.
Macedo, L. F. K., Dimuro, G. P., Aguiar, M. S., da Rocha Costa, A. C., Mattos, V. L. D., e Coelho, H. (2012). Analyzing the evolution of social exchange strategies in social preference-based mas through an evolutionary spatial approach of the ultimatum game. In Social Simulation (BWSS), 2012 Third Brazilian Workshop on, pages 83–90.
Pereira, D. R., Gonçalves, L. V., Dimuro, G. P., e Costa, A. C. (2008a). Constructing bdi plans from optimal pomdp policies, with an application to agentspeak programming. pages 240–249, Santa Fe, Argentina.
Pereira, D. R., Gonçalves, L. V., Dimuro, G. P., e Costa, A. C. (2008b). Towards the self-regulation of personality-based social exchange processes in multiagent systems. In Zaverucha, G. e Costa, A. L., editors, Advances in Artificial Intelligence - SBIA 2008, volume 5249 of Lecture Notes in Computer Science, pages 113–123. Springer Berlin Heidelberg.
Piaget, J. e Smith, L. (1995). Sociological Studies. Taylor & Francis.
Rao, A. S. e Georgeff, M. P. (1991). Modeling rational agents within a BDI-architecture. In Fikes, R. e Sandewall, E., editors, Proc. 2nd Intl. Conf. on Principles of Knowledge Representation and Reasoning), pages 473–484, San Mateo. Morgan Kaufmann.
Rao, A. S. e Georgeff, M. P. (1992). An abstract architecture for rational agents. In Proc. of the 3rd International Conference on Principles of Knowledge Representation and Reasoning (KR’92), pages 439–449. Morgan Kaufmann.
Reynolds, R. e Zanoni, E. (1992). Why cultural evolution can proceed faster than biological evolution. In Proceedings of International Symposium on Simulating Societies, pages 81–93. sn.
Bordini, R. H., Hübner, J. F., e Wooldridge, M. (2007). Programming Multiagent Systems in AgentSpeak using Jason. University of Liverpoll: Wiley.
Bratman, M. (1987). Intention, plans, and practical reason. Harvard University Press.
Bratman, M. E., Israel, D. J., e Pollack, M. E. (1988). Plans and resource-bounded practical reasoning. Technical Report 425, AI Center, SRI International, 333 Ravenswood Ave., Menlo Park, CA 94025. Revised version.
Darwin, C. (1859). On the Origin of Species. John Murry, London.
Dimuro, G. P., da Rocha Costa, A. C., Gonçalves, L. V., e Pereira, D. R. (2011). Recognizing and learning models of social exchange strategies for the regulation of social interactions in open agent societies. Journal of the Brazilian Computer Society, 17(3):143–161.
Fiani, R. (2006). Teoria Dos Jogos. CAMPUS.
Georgeff, M. P. e Lansky, A. L. (1986). Procedural knowledge. In Proceedings of the IEEE Special Issue on Knowledge Representation, volume 74, pages 1383–1398.
Goldberg, D. (1989). Genetic algorithms in search, optimization, and machine learning. Artificial Intelligence. Addison-Wesley.
Linden, R. (2008). Algoritmos Genéticos. Brasport, 2a edition.
Luck, M. e Wooldridge, M. (2004). The dmars architecture: A specification of the distributed multiagent reasoning system. In Autonomous Agents and Multiagent Systems, pages 1–2.
Macedo, L. F. K. (2013). Uma abordagem evolucionária e espacial para o jogo da autorregulação de processos de trocas sociais em sistemas multiagentes. Dissertação de mestrado, Universidade Federal do Rio Grande.
Macedo, L. F. K., Dimuro, G. P., Aguiar, M. S., da Rocha Costa, A. C., Mattos, V. L. D., e Coelho, H. (2012). Analyzing the evolution of social exchange strategies in social preference-based mas through an evolutionary spatial approach of the ultimatum game. In Social Simulation (BWSS), 2012 Third Brazilian Workshop on, pages 83–90.
Pereira, D. R., Gonçalves, L. V., Dimuro, G. P., e Costa, A. C. (2008a). Constructing bdi plans from optimal pomdp policies, with an application to agentspeak programming. pages 240–249, Santa Fe, Argentina.
Pereira, D. R., Gonçalves, L. V., Dimuro, G. P., e Costa, A. C. (2008b). Towards the self-regulation of personality-based social exchange processes in multiagent systems. In Zaverucha, G. e Costa, A. L., editors, Advances in Artificial Intelligence - SBIA 2008, volume 5249 of Lecture Notes in Computer Science, pages 113–123. Springer Berlin Heidelberg.
Piaget, J. e Smith, L. (1995). Sociological Studies. Taylor & Francis.
Rao, A. S. e Georgeff, M. P. (1991). Modeling rational agents within a BDI-architecture. In Fikes, R. e Sandewall, E., editors, Proc. 2nd Intl. Conf. on Principles of Knowledge Representation and Reasoning), pages 473–484, San Mateo. Morgan Kaufmann.
Rao, A. S. e Georgeff, M. P. (1992). An abstract architecture for rational agents. In Proc. of the 3rd International Conference on Principles of Knowledge Representation and Reasoning (KR’92), pages 439–449. Morgan Kaufmann.
Reynolds, R. e Zanoni, E. (1992). Why cultural evolution can proceed faster than biological evolution. In Proceedings of International Symposium on Simulating Societies, pages 81–93. sn.
Publicado
26/05/2013
Como Citar
LAER, Andressa von; DIMURO, Graçaliz P.; AGUIAR, Marilton S..
Self-Regulation of Social Exchange Processes in MAS: a cultural and evolutionary BDI agent society model. In: WORKSHOP-ESCOLA DE SISTEMAS DE AGENTES, SEUS AMBIENTES E APLICAÇÕES (WESAAC), 7. , 2013, São Paulo/SP.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2013
.
p. 181-183.
ISSN 2326-5434.
