Download PDF by Dix J. (ed.), Leite J. (ed.): Computational Logic and Multi-Agent Systems: 4th

By Dix J. (ed.), Leite J. (ed.)

ISBN-10: 1902956311

ISBN-13: 9781902956312

This ebook constitutes the strictly refereed post-proceedings of the 4th overseas Workshop on Computational common sense for Multi-Agent structures, CLIMA IV, held in fortress Lauderdale, Fl, united states in January 2004.The eleven revised complete papers provided including 2 invited papers have been rigorously chosen in the course of rounds of reviewing and development. The papers are dedicated to thoughts from computational common sense for representing, programming, and reasoning approximately multi-agent platforms. The papers are geared up in topical sections on negotiation in MAS, making plans in MAS, wisdom revision and replace in MAS, and studying in BDI MAS.

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Additional info for Computational Logic and Multi-Agent Systems: 4th International Workshop, Clima 2004, Fort Lauderdale, FL, USA, January 6-7, 2004, Revised Selected and Invited Papers

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To sum up, in this paper we will review the logic-based abstractions that we have identified to program both individual rational agents and more complex fluid organisational structures, and we will take a step forward by showing how these abstractions can be encapsulated (implemented) within an agent-based programming language. The structure of the paper is as follows. In §2 we outline the logical framework we have developed to program individual agents. In §3 and 18 M. Fisher, C. Ghidini, and B.

This second hypothesis is motivated by the fact that without the resource, a cannot execute its plan, so a’s computation would fail. Agent b considers its integrity constraint (7) and has two possibilities: either variable X of the atom in the is equal to b, or it is different from b. In other words, either it supposes to be the addressee of the request or not. In the first case it should reply refuse, as it does not have an available nail; however this reply would not be consistent with the hypothesis formulated by a that the reply would be accept.

This approach is based upon the principle of specifying an agent using temporal logic, and then directly executing [7] this specification in order to provide the agent’s behaviour. It provides a high-level programming notation, maintaining a close link between program and specification. With temporal logic as a basis, METATEM is able to describe the dynamic behaviour of an agent and the evolution of its knowledge and goals. The extensions introduced in [10, 11] provide the basic METATEM language with the capability of expressing also abilities of agents, their belief, and their confidence.

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Computational Logic and Multi-Agent Systems: 4th International Workshop, Clima 2004, Fort Lauderdale, FL, USA, January 6-7, 2004, Revised Selected and Invited Papers by Dix J. (ed.), Leite J. (ed.)


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