Computational Logic in Multi-Agent Systems: 7th by Tomoyuki Yamada (auth.), Katsumi Inoue, Ken Satoh, Francesca PDF

By Tomoyuki Yamada (auth.), Katsumi Inoue, Ken Satoh, Francesca Toni (eds.)

ISBN-10: 3540696180

ISBN-13: 9783540696186

ISBN-10: 3540696199

ISBN-13: 9783540696193

This e-book constitutes the completely refereed post-proceedings of the seventh overseas Workshop on Computational good judgment for Multi-Agent structures, CLIMA VII, held in Hakodate, Japan, in might 2006. It used to be an linked occasion of AAMAS 2006, the most foreign convention on self sufficient brokers and multi-agent structures. The sequence of workshops offers present paintings on program of basic and declarative theories grounded on computational common sense to multi-agent structures specification, semantics and strategies, and confronts rules corresponding to autonomy, deliberation, wisdom, dedication, openness, belief, with the computational common sense paradigms.

The 14 revised complete technical papers and 4 contest papers have been conscientiously chosen from 29 submissions and went via rounds of reviewing and development. the themes of the common papers contain agent reasoning, similar to deontic reasoning, probabilistic reasoning, contextual reasoning, selection making and abduction, agent verbal exchange, equivalent to argumentation and discussion, agent structure and verification of multi-agent structures. the competition papers describe carried out agent architectures fixing the gold mining domain.

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Additional info for Computational Logic in Multi-Agent Systems: 7th International Workshop, CLIMA VII, Hakodate, Japan, May 8-9, 2006, Revised Selected and Invited Papers

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For such an Ai -acceptable solution, Ai+1 computes a solution S that adds her knowledge to the given information. e. Ai+2 . In case agent Ai+1 is unable to provide any solutions of her own, she will simply pass on information she obtained from the previous agents higher up in the hierarchy. When her solution S conflicts with the solution offered by her predecessors, she sends S for verification to her predecessor Ai . If Ai is able to find another possible solution T that is consistent with S, the communication from Ai to Ai+1 starts over again with T as a new input.

Fi/Software/smodels/. [35] SOCS:. it/research/socs/. [36] T. Soininen and I. Niemel¨a. Developing a declarative rule language for applications in product configuration. In Proceedings of the First International Workshop on Practical Aspects of Declarative Languages (PADL ’99), LNCS, San Antonio, Texas, 1999. Springer. [37] L. Stockmeyer and A. Meyer. Word problems requiring exponential time. In Proceedings of the 5th ACM Symposium on Theory of Computing (STOC ’73), pages 1–9, 1973. [38] D. Van Nieuwenborgh, M.

Faber, N. Leone, G. Pfeifer, and A. Polleres. The DLVk planning system. In Proceedings of the 8th European Conference on Logics in Artificial Intelligence (JELIA 2002), volume 2424 of LNAI, pages 541–544. Springer, 2002. [19] T. Eiter and G. Gottlob. The complexity of logic-based abduction. Journal of the Association for Computing Machinery, 42(1):3–42, 1995. [20] T. Eiter, G. Gottlob, and Y. Gurevich. Normal forms for second-order logic over finite structures, and classification of np optimization problems.

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Computational Logic in Multi-Agent Systems: 7th International Workshop, CLIMA VII, Hakodate, Japan, May 8-9, 2006, Revised Selected and Invited Papers by Tomoyuki Yamada (auth.), Katsumi Inoue, Ken Satoh, Francesca Toni (eds.)


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