By Adam Milstein (auth.), Balázs Kégl, Guy Lapalme (eds.)
The 18th convention of the Canadian Society for the Computational research of Intelligence (CSCSI) endured the luck of its predecessors. This set of - pers re?ects the range of the Canadian AI neighborhood and its foreign companions. AI 2005 attracted one hundred thirty five top quality submissions: sixty four from Canada and seventy one from world wide. of those, 8 have been written in French. All submitted papers have been completely reviewed through at the very least 3 contributors of this system Committee. a complete of 30 contributions, authorized as lengthy papers, and 19 as brief papers are incorporated during this quantity. We invited 3 exotic researchers to offer talks approximately their present examine pursuits: Eric Brill from Microsoft examine, Craig Boutilier from the collage of Toronto, and Henry Krautz from the college of Washington. The association of the sort of winning convention bene?ted from the coll- oration of a lot of people. most efficient, we wish to precise our apprec- tion to this system Committee individuals and exterior referees, who supplied well timed and signi?cant reports. to control the submission and reviewing method we used the Paperdyne approach, which was once constructed by way of Dirk Peters. We owe detailed because of Kellogg sales space and Tricia d’Entremont for dealing with the neighborhood arrangementsandregistration.WealsothankBruceSpencerandmembersofthe CSCSI govt for all their e?orts in making AI 2005 a profitable conference.
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Extra info for Advances in Artificial Intelligence: 18th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2005, Victoria, Canada, May 9-11, 2005. Proceedings
Fully autonomous agents elect to have their autonomy adjusted when faced with unexpected events that they are unable to resolve. The coordinating agent revokes the autonomy of other agents in the system, temporarily, in order to address these events. We discuss how this strategy for the adjustment of autonomy of agents is well suited for multiagent systems operating in soft real-time environments. We then present a model for agent-initiated adjustable autonomy that reasons not only about decision-making delegation, but also about interaction in order to make more informed decisions.
Katsutoshi Hirayama and Makoto Yokoo. Distributed partial constraint satisfaction problem. In Proceedings of the Third International Conference on Principles and Practice of Constraint Programming (CP-97), pages 222–236, 1997. 3. Katsutoshi Hirayama and Makoto Yokoo. An approach to over-constrained distributed constraint satisfaction problems: Distributed hierarchical constraint satisfact. In Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000), 2000. 4. Roger Mailler and Victor Lesser.
The locking mechanism for agent strategy coordination then works as follows: (i) Agent computes an optimal strategy s∗ (ii) Agent tries to acquire from the various proxies all the locks that may be used in strategy s∗ . So, for each transfer node in s∗ , Agent will request a lock on the user and timeframe indicated by that transfer node. As part of the lock request, Agent will inform the Proxy of the probability that Agent will reach/use that lock. a) Agent receives all requested locks with no warnings.
Advances in Artificial Intelligence: 18th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2005, Victoria, Canada, May 9-11, 2005. Proceedings by Adam Milstein (auth.), Balázs Kégl, Guy Lapalme (eds.)