Protocolo de Interação Entre SMA Embarcados Bio-Inspirado na Relação de Predatismo
Resumo
Abordagens inspiradas em conceitos biológicos são comumente encontradas na área da Inteligência Artificial e contribuem para auxiliar na resolução de alguns problemas relacionados com a interação entre entidades em sociedades e grupos. Sendo assim, o objetivo deste trabalho é apresentar um protocolo de interação entre agentes integrantes de SMA abertos e embarcados em plataformas robóticas baseado em um modelo adaptado da relação ecológica de predatismo. Este protocolo tem como objetivo preservar a integridade de seus conhecimentos quando o hardware de uma plataforma estiver danificado, através da transferência de todos os agentes e conhecimentos obtidos para um SMA conhecido e embarcado em outra plataforma similar. O protocolo proposto será implementado utilizando o framework Jason e uma prova de conceito em um ambiente real será apresentada com dois protótipos de veículos terrestres assumindo cada um o papel de predador e presa na relação.
Referências
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David, L., Vasconcelos, R., Alves, L., André, R., Baptista, G., and Endler, M. (2012). A communication middleware for scalable real-time mobile collaboration. In Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2012 IEEE 21st International Workshop on, pages 54–59. IEEE.
Endler, M., Baptista, G., Silva, L., Vasconcelos, R., Malcher, M., Pantoja, V., Pinheiro, V., and Viterbo, J. (2011). Contextnet: context reasoning and sharing middleware for large-scale pervasive collaboration and social networking. In Proceedings of the Workshop on Posters and Demos Track, page 2. ACM.
Ferri, G., Caselli, E., Mattoli, V., Mondini, A., Mazzolai, B., and Dario, P. (2006). A biologically-inspired algorithm implemented on a new highly flexible multi-agent platform for gas source localization. In Biomedical Robotics and Biomechatronics, 2006.
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Günay, A., Winikoff, M., and Yolum, P. (2015). Dynamically generated commitment protocols in open systems. Autonomous Agents and Multi-Agent Systems, 29(2):192–229.
Huynh, T. D., Jennings, N. R., and Shadbolt, N. R. (2006). An integrated trust and reputation model for open multi-agent systems. Autonomous Agents and Multi-Agent Systems, 13(2):119–154.
Jesus, V. S., Manoel, F. C. P. B., Pantoja, C. E., and Viterbo, J. (2018). Transporte de agentes cognitivos entre sma distintos inspirado nos princıpios de relaç oes ecológicas. Workshop-Escola de Sistemas de Agentes, seus Ambientes e apliCações — XII WESAAC, pages 179–187.
Paes, R., Carvalho, G. d., Lucena, C. d., Alencar, P., Almeida, H. d., and Silva, V. d. (2005). Specifying laws in open multi-agent systems. Agents, Norms and Institutions for Regulated Multi-agent Systems (ANIREM), AAMAS2005.
Pantoja, C. E., Jesus, V. S., Manoel, F. C. P. B., and Viterbo, J. (2018). A heterogeneous architecture for integrating multi-agent systems in ami systems. The Thirtieth International Conference on Software Engineering and Knowledge Engineering (SEKE 2018).
Pantoja, C. E., Stabile Jr, M. F., Lazarin, N. M., and Sichman, J. S. (2016). Argo: A customized jason architecture for programming embedded robotic agents. Fourth International Workshop on Engineering Multi-Agent Systems (EMAS 2016).
Pardo-Castellote, G. (2003). Omg data-distribution service: Architectural overview. In Distributed Computing Systems Workshops, 2003. Proceedings. 23rd International Conference on, pages 200–206. IEEE.
Rao, A. S. (1996). AgentSpeak(L): BDI agents speak out in a logical computable language. In de Velde, W. V. and Perram, J. W., editors, Proceedings of the 7th European workshop on Modelling autonomous agents in a multi-agent world (MAAMAW’96), volume 1038 of Lecture Notes in Artificial Intelligence, pages 42–55, USA. SpringerVerlag.
Wooldridge, M. (2009). An introduction to multiagent systems. John Wiley & Sons.
Zedadra, O., Seridi, H., Jouandeau, N., and Fortino, G. (2016). A cooperative switching algorithm for multi-agent foraging. Engineering Applications of Artificial Intelligence, 50:302–319.
Zeghida, D., Meslati, D., and Bounour, N. (2018). Bio-ir-m: A multi-paradigm modelling for bio-inspired multi-agent systems. Informatica, 42(3).
Bordini, R. H., Hübner, J. F., and Wooldridge, M. (2007). Programming Multi-Agent Systems in AgentSpeak using Jason. John Wiley & Sons Ltd.
Bratman, M. E. (1987). Intention, Plans and Practical Reasoning. Cambridge Press.
Chen, B., Cheng, H. H., and Palen, J. (2009). Integrating mobile agent technology with multi-agent systems for distributed traffic detection and management systems. Transportation Research Part C: Emerging Technologies, 17(1):1–10.
David, L., Vasconcelos, R., Alves, L., André, R., Baptista, G., and Endler, M. (2012). A communication middleware for scalable real-time mobile collaboration. In Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2012 IEEE 21st International Workshop on, pages 54–59. IEEE.
Endler, M., Baptista, G., Silva, L., Vasconcelos, R., Malcher, M., Pantoja, V., Pinheiro, V., and Viterbo, J. (2011). Contextnet: context reasoning and sharing middleware for large-scale pervasive collaboration and social networking. In Proceedings of the Workshop on Posters and Demos Track, page 2. ACM.
Ferri, G., Caselli, E., Mattoli, V., Mondini, A., Mazzolai, B., and Dario, P. (2006). A biologically-inspired algorithm implemented on a new highly flexible multi-agent platform for gas source localization. In Biomedical Robotics and Biomechatronics, 2006.
BioRob 2006. The First IEEE/RAS-EMBS International Conference on, pages 573–578. IEEE.
Günay, A., Winikoff, M., and Yolum, P. (2015). Dynamically generated commitment protocols in open systems. Autonomous Agents and Multi-Agent Systems, 29(2):192–229.
Huynh, T. D., Jennings, N. R., and Shadbolt, N. R. (2006). An integrated trust and reputation model for open multi-agent systems. Autonomous Agents and Multi-Agent Systems, 13(2):119–154.
Jesus, V. S., Manoel, F. C. P. B., Pantoja, C. E., and Viterbo, J. (2018). Transporte de agentes cognitivos entre sma distintos inspirado nos princıpios de relaç oes ecológicas. Workshop-Escola de Sistemas de Agentes, seus Ambientes e apliCações — XII WESAAC, pages 179–187.
Paes, R., Carvalho, G. d., Lucena, C. d., Alencar, P., Almeida, H. d., and Silva, V. d. (2005). Specifying laws in open multi-agent systems. Agents, Norms and Institutions for Regulated Multi-agent Systems (ANIREM), AAMAS2005.
Pantoja, C. E., Jesus, V. S., Manoel, F. C. P. B., and Viterbo, J. (2018). A heterogeneous architecture for integrating multi-agent systems in ami systems. The Thirtieth International Conference on Software Engineering and Knowledge Engineering (SEKE 2018).
Pantoja, C. E., Stabile Jr, M. F., Lazarin, N. M., and Sichman, J. S. (2016). Argo: A customized jason architecture for programming embedded robotic agents. Fourth International Workshop on Engineering Multi-Agent Systems (EMAS 2016).
Pardo-Castellote, G. (2003). Omg data-distribution service: Architectural overview. In Distributed Computing Systems Workshops, 2003. Proceedings. 23rd International Conference on, pages 200–206. IEEE.
Rao, A. S. (1996). AgentSpeak(L): BDI agents speak out in a logical computable language. In de Velde, W. V. and Perram, J. W., editors, Proceedings of the 7th European workshop on Modelling autonomous agents in a multi-agent world (MAAMAW’96), volume 1038 of Lecture Notes in Artificial Intelligence, pages 42–55, USA. SpringerVerlag.
Wooldridge, M. (2009). An introduction to multiagent systems. John Wiley & Sons.
Zedadra, O., Seridi, H., Jouandeau, N., and Fortino, G. (2016). A cooperative switching algorithm for multi-agent foraging. Engineering Applications of Artificial Intelligence, 50:302–319.
Zeghida, D., Meslati, D., and Bounour, N. (2018). Bio-ir-m: A multi-paradigm modelling for bio-inspired multi-agent systems. Informatica, 42(3).
Publicado
02/05/2019
Como Citar
JESUS, Vinicius Souza de; MANOEL, Fabian Cesar P. B.; PANTOJA, Carlos Eduardo.
Protocolo de Interação Entre SMA Embarcados Bio-Inspirado na Relação de Predatismo. In: WORKSHOP-ESCOLA DE SISTEMAS DE AGENTES, SEUS AMBIENTES E APLICAÇÕES (WESAAC), 13. , 2019, Florianópolis/SC.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
p. 95-106.
ISSN 2326-5434.
