By Michael Y. K. Cheng, Robin Cohen (auth.), Luc Lamontagne, Mario Marchand (eds.)

ISBN-10: 3540346287

ISBN-13: 9783540346289

ISBN-10: 3540346309

ISBN-13: 9783540346302

This booklet constitutes the refereed complaints of the nineteenth convention of the Canadian Society for Computational stories of Intelligence, Canadian AI 2006, held in Qu?bec urban, Qu?bec, Canada in June 2006.

The booklet offers forty seven revised complete papers, conscientiously reviewed and chosen from 220 submissions. The papers are prepared in topical sections on brokers, bioinformatics, constraint delight and allotted seek, wisdom illustration and reasoning, traditional language, reinforcement studying and, supervised and unsupervised studying. contains CD-ROM.

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Extra info for Advances in Artificial Intelligence: 19th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2006, Québec City, Québec, Canada, June 7-9, 2006. Proceedings

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Let us now suppose that the assistant agent has detected that the inhabitant remains still for a certain period of time. In such a case, the assistant agent will have to increase his autonomy level by taking control of the home using the intention schema of the inhabitant, defined by the infinimum Δinf = (x ◦ GoT oKitchen) of the lattice, to predict what the person wanted to do. In our example, the occupant wishes to prepare tea or pursues two distinct goals represented by the extra-plan I1 , that is W ashDish and DrinkW ater.

10, 15, . .. We test our algorithm down to the 5th best coalitions only. As our algorithm deals with non-superadditive environments, this setting tends to increase the cooperation cost of a coalition as its size grows. Hence it forces agents to work harder to form profitable coalitions and to achieve optimal coalition structures. Both algorithms uses the Simplex algorithm to find the optimal solution for each coalitions. Figure 1 compares the performance of our algorithm against that of exhaustive search.

Artif. Intell. 111 (1999) 209–238 4. : Coalition Formation among Bounded Rational Agents. 14th International Joint Conference on Artificial Intelligence (1995) 662–669 5. : Formation of overlapping coalitions for precedence-ordered task-execution among autonomous agents. In: ICMAS-96. (1996) 330–337 6. : Satisficing coalition formation among agents. In: Proceedings of the first international joint conference on Autonomous agents and multiagent systems, ACM Press (2002) 1062–1063 7. : Task allocation via coalition formation among autonomous agents.

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Advances in Artificial Intelligence: 19th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2006, Québec City, Québec, Canada, June 7-9, 2006. Proceedings by Michael Y. K. Cheng, Robin Cohen (auth.), Luc Lamontagne, Mario Marchand (eds.)


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