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Adam Milstein (auth.), Balázs Kégl, Guy Lapalme (eds.)'s Advances in Artificial Intelligence: 18th Conference of the PDF

By Adam Milstein (auth.), Balázs Kégl, Guy Lapalme (eds.)

ISBN-10: 3540258647

ISBN-13: 9783540258643

ISBN-10: 3540319522

ISBN-13: 9783540319528

The 18th convention of the Canadian Society for the Computational learn of Intelligence (CSCSI) persisted the luck of its predecessors. This set of - pers re?ects the range of the Canadian AI group and its overseas companions. AI 2005 attracted one hundred thirty five top of the range submissions: sixty four from Canada and seventy one from all over the world. of those, 8 have been written in French. All submitted papers have been completely reviewed through at the least 3 individuals of this system Committee. a complete of 30 contributions, authorised as lengthy papers, and 19 as brief papers are integrated during this quantity. We invited 3 wonderful researchers to provide 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 profitable convention bene?ted from the coll- oration of lots of individuals. premier, we want to precise our apprec- tion to this system Committee contributors and exterior referees, who supplied well timed and signi?cant stories. to control the submission and reviewing approach 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 government 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

Example text

The decision rule set generated in each experiment is exactly the same to that of a centralized data mining system, since the proposed algorithm for distributed data mining uses all the available data located at different sites, without moving them to each other. These decision rules are revealed simply because geographical data, easily discriminated on aerial images, are used in the experiments. In conclusion, the experimental results show that the distributed version with more agents outperforms the version with fewer agents when the rule generation from a large database is not complicated with low communication overhead between agents and the mediator.

Also note that no constraint is permanently flagged as relaxed. Each agent has a degreeU nsat threshold it is trying to attain, and is free to relax any constraint to attain that threshold, each time it gets a turn. Example: To further clarify the details of the algorithm, we use a distributed 3colouring problem shown in Figure 1. The goal of the problem is to assign colours to each node so that nodes connected by the same arc have different colours2 . In Figure 1 (a), Agent 1 has two intra-agent constraints and Agent 2 has three intraagent constraints, and they both have four inter-agent constraints.

The last non-empty nogood that was discovered). It then restarts the search on this relaxed problem. , it results in a further empty nogood, then another constraint from the original nogood is relaxed. If all constraints in the first nogood are relaxed, then this nogood is removed from the bottom of nogood stack, and the next nogood is selected for relaxation. Since AOWC cannot recognize an optimal solution, we allow it to repeat this process until a solution is found that equals the optimal solution from our own approach (in terms of a count of the number of constraints relaxed).

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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.)

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