Abstract
Agent-based computing is an important research area. Agent and multi-agent system can be used to model real systems in complex and dynamic environments. However, most of them assume that there is no uncertain and fuzzy information in an agent’s mental state and environment. In this paper, we remove this unrealistic assumption and propose a new agent programming language which allows agent programs to effectively perform with fuzzy knowledge under uncertain environment, and to dynamically adapt with changes of the environment. This language presents a new and practical approach to solve fuzzy constraints in uncertain environment which consists of three components for programming agent: uncertain belief updating, goal selection and revision and uncertain practical reasoning.
This work is supported by the NSFC major research program under Grand No. 60496322 and Open Foundation of Key Laboratory of Multimedia and Intelligent Software (Beijing University of Technology).
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References
Chun, S.-J., Hwang, C.-L., Hwang, F.P.: Fuzzy multiple attribute decision Making: Methods and Applications. Springer, Heidelberg (1992)
Dix, J., Subrahmanian, V.S.: Probabilistic agent programs. ACM Transactions on Computational Logic 1(2), 207–245 (2000)
He, M., Jennings, N.R., Prgel-Bennett, A.: A heuristic bidding strategy for buying multiple goods in multiple English auctions. In: ACM Transactions on Internet Technology (to appear, 2006)
Hindriks, K.V., de Boer, F.S., van der Hoek, W., Meyer, J.J.C.: Formal Semantics of an Abstract Agent Programming Language. In: Rao, A., Singh, M.P., Wooldridge, M.J. (eds.) ATAL 1997. LNCS, vol. 1365, pp. 215–229. Springer, Heidelberg (1998)
Levesque, H., Lesperance, R.R., L., Y.F., Golog, R.S.: A logic programming language for dynamic domains. Journal of Logic Programming 31, 59–84 (1997)
Li, Y., Zhang, C.: Information fusion and decision making for utility-based agents. In: Proceedings of the Third World Multi-conference on Systemics, Cybernetics and Informatics and the Fifth International Conference on Information Systems Analysis and Synthesis (1999)
Li, R.: Fuzzy multiple criteria decision: theory and application. Science Press (2002)
Lloyd, J.: Foundations of Logic Programming. Springer, Heidelberg (1984)
Luo, X., Zhang, C., Leung, H.-f.: Information sharing between heterogeneous uncertain reasoning models in a multi-agent environment: A case study. International Journal of Approximate Reasoning 27(1), 27–59 (2001)
Luo, X., Zhang, C., Jennings, N.R.: A hybrid model for sharing information between fuzzy, uncertain and default reasoning models in multi-agent systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10(4), 401–450 (2002)
Luo, X., Jennings, N.R., Shadbolt, N., Leung, H.F., Lee, J.H.M.: A fuzzy constraint based model for bilateral, multi-issue negotiation in semi-competitive environments. Artificial Intelligence 148, 53–102 (2003)
Parsons, S., Giorigini, P.: An approach to using degrees of belief in BDI agents. In: Information, Uncertainty and Fusion, pp. 81–92. Kluwer, Dordrecht (2000)
Poole, D.: Decision theoretic defaults. In: Proceedings of the 9th Biennial Canadian artificial Intelligence Conference, pp. 190–197 (1992)
Rao, A.S.: AgentSpesk(L): BDI agents speak out in a logic computable language, Agents Breaking Away, pp. 42–55 (1996)
Shoham, Y.: What we talk about when talk about software agents. IEEE Intelligent Systems, 28–31 (March/April 1999)
Wang, J., Ju, S., Liu, C.: Agent-Oriented Probabilistic Logic Programming. Journal of Computer Science and Technology 3(21), 412–417 (2006)
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Wang, J., Liu, C. (2006). Agent-Oriented Probabilistic Logic Programming with Fuzzy Constraints. In: Shi, ZZ., Sadananda, R. (eds) Agent Computing and Multi-Agent Systems. PRIMA 2006. Lecture Notes in Computer Science(), vol 4088. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11802372_76
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DOI: https://doi.org/10.1007/11802372_76
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