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Collaboration through deliberative dialogues
Keywords:
Multi-Agent Systems, Collaborative Agents, Interaction Protocols, Defeasible Logic ProgrammingAbstract
In a multi-agent system, a group of individ- uals interact in a social context in order to boost their capabilities and enhance global per- formance. Each individual's action repertoire may be reduced, but it's social capability allows it to interact with other agents and obtain collab- oration. This work offers an alternative for knowledge representation in a system of collaborative BDI agents and presents an interaction protocol based on dialogues. The capacity to interact affects the behavioral model of a BDI agent that must consider the possibility of offering and soliciting collaboration. Thus, we propose an algorithm that models the behavior of a collaborative BDI agent.
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References
[1] Simari, G., Garc ́ıa, A., Capobianco, M. Actions, Planning and Defeasible Reasoning, Proceedings of the 10th International Workshop on Non-Monotonic Reasoning (NMR 2004), pp. 377–384, Whistler, Canada, June 6-8, 2004.
[2] García, A., Simari, G. Defeasible Logic Programming: An Argumentative Approach, Theory Practice of Logic Programming, vol 4, 1, pp. 95–138, 2004.
[3] Rueda S., Garc ́ıa A., Simari, G. Alternativas para la representacion del conocimiento compartido entre agentes colaborativos, II Workshop en Agentes y Sistemas Inteligentes (WASI), VIII CACIC, Argentina, pp. 1508–1919, 2004.
[4] Wooldridge, M., Intelligent Agents, in Multi-agent Systems A Modern Approach to Distributed Artificial Intelligence. Editor G. Weiss. The MIT Press, 2000.
[5] Wooldridge, M., Reasoning about Rational Agents, The MIT Press, 2000.
[6] Fagin, R., Halpern J., Moses, Y., Vardi, M. Reasoning About Knowledge, The MIT Press, Cambridge, MA 1995.
[7] Rao, A. S., and Georgeff M. P., BDI Agents: From Theory to Practice, In Proceedings of the First International Conference on Multi-Agent Systems (ICMAS-95) pp.312-319 San Francisco, USA, 1995.
[8] Bratman, M.E., Israel D.J., Pollack, M.E., Plans and resource-bounded practical reasoning, Computational Intelligence 4: 349,355 1988.
[9] Walton, D. N., Krabbe E.C., Commitment in Dialogue: Basic Concepts of Interpersonal Reasoning, State University of New York Press, Albany, NY, 1995.
[2] García, A., Simari, G. Defeasible Logic Programming: An Argumentative Approach, Theory Practice of Logic Programming, vol 4, 1, pp. 95–138, 2004.
[3] Rueda S., Garc ́ıa A., Simari, G. Alternativas para la representacion del conocimiento compartido entre agentes colaborativos, II Workshop en Agentes y Sistemas Inteligentes (WASI), VIII CACIC, Argentina, pp. 1508–1919, 2004.
[4] Wooldridge, M., Intelligent Agents, in Multi-agent Systems A Modern Approach to Distributed Artificial Intelligence. Editor G. Weiss. The MIT Press, 2000.
[5] Wooldridge, M., Reasoning about Rational Agents, The MIT Press, 2000.
[6] Fagin, R., Halpern J., Moses, Y., Vardi, M. Reasoning About Knowledge, The MIT Press, Cambridge, MA 1995.
[7] Rao, A. S., and Georgeff M. P., BDI Agents: From Theory to Practice, In Proceedings of the First International Conference on Multi-Agent Systems (ICMAS-95) pp.312-319 San Francisco, USA, 1995.
[8] Bratman, M.E., Israel D.J., Pollack, M.E., Plans and resource-bounded practical reasoning, Computational Intelligence 4: 349,355 1988.
[9] Walton, D. N., Krabbe E.C., Commitment in Dialogue: Basic Concepts of Interpersonal Reasoning, State University of New York Press, Albany, NY, 1995.
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Published
2007-04-02
How to Cite
Rueda, S. V., García, A. J., & Simari, G. R. (2007). Collaboration through deliberative dialogues. Journal of Computer Science and Technology, 7(02), p. 125–133. Retrieved from https://journal.info.unlp.edu.ar/JCST/article/view/792
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