Cooperative Information Agents X: 10th International by Frank van Harmelen (auth.), Matthias Klusch, Michael

By Frank van Harmelen (auth.), Matthias Klusch, Michael Rovatsos, Terry R. Payne (eds.)

This publication constitutes the refereed lawsuits of the tenth foreign Workshop on Cooperative info brokers, CIA 2006, held in Edinburgh, united kingdom in September 2006.

The 29 revised complete papers awarded including 4 invited papers have been rigorously reviewed and chosen from fifty eight submissions. The papers are equipped in topical sections on crew interplay, reasoning approximately application, the dynamics of agent established info provision, purposes, brokers and prone, studying, source and job allocation, rational cooperation, verbal exchange and cooperation, and agent dependent grid computing.

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Net Grand Challenge Proposal. CRA Conference on "Grand Research Challenges" in Computer Science and Engineering Workshop, June 23-26, 2002, Warrenton, Virginia. pdf 23. , and J. Stader, J. (2002) I-P2- Intelligent Process Panels to Support Coalition Operations. In Proceedings of the Second International Conference on Knowledge Systems for Coalition Operations (KSCO-2002). Toulouse, France, April 2002. 24. Tate, A. (2003) : an Ontology for Mixed-Initiative Synthesis Tasks. In Proceedings of the Workshop on Mixed-Initiative Intelligent Systems (MIIS) at the International Joint Conference on Artificial Intelligence (IJCAI-03), Acapulco, Mexico, August 2003.

This problem is provably acute: it is known [13,25] that, for elections with three or more candidates, in any voting protocol that 3 4 We use the term in its intuitive sense here, but in the social choice literature, “preference aggregation” and “voting” are basically synonymous. Though if several do it in parallel there may be unintended negative consequences. S. D. Procaccia is non-dictatorial,5 there are elections where an agent is better off by voting untruthfully. Of course, in some systems, particularly centrally-designed systems, strategic behavior can be effectively banned by fiat.

2. A contributor to other fields of both technological and conceptual enablers; as the much-quoted New York Times article provocatively put it, “All Science is Computer Science” [18]. However, that article was referring mainly to the use of powerful computing in other fields, which is certainly not the core of computer science. One could argue that the more important influence of CS has been in changing how scientists in other fields view their problems: computation becomes a basic conceptual model, part of the intellectual toolset of other fields.

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