Download Advances in Artificial Intelligence: 19th Conference of the by Michael Y. K. Cheng, Robin Cohen (auth.), Luc Lamontagne, PDF

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

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

The publication provides forty seven revised complete papers, conscientiously reviewed and chosen from 220 submissions. The papers are equipped in topical sections on brokers, bioinformatics, constraint pride and allotted seek, wisdom illustration and reasoning, average language, reinforcement studying and, supervised and unsupervised studying. comprises CD-ROM.

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Read or Download 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 PDF

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Extra resources 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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The action a(o) is a component of the sequence α. Consequently, the set of all possible plans for the observations O can be defined by Pso = {α ∈ P | ∃(a, o) ∈ α×O → a(o)}. Starting with this set of plans, we can deduce that the agent will at least perform one of them. However, its intentions can go beyond the set of possible plans. For instance, considering a well-known Kautz’s example given in [10], we see that if we observe two actions GetGun and GotoBank, then we cannot automatically conclude that the observed agent A Smart Home Agent for Plan Recognition 27 wants to rob a bank, or deduce a disjunction of possible plans Hunt or RobBank as proposed by Kautz’s theory.

2 Constraints of Web and Mobile Map Generation On-the-fly web and mobile map generation is a challenging task. It has to deal with four kinds of constraints: technical constraints, spatial data constraints, user constraints and spatial processing constraints (Fig. 1): • Technical constraints are independent of the approach used to generate the required map. In a web context, these constraints result from limitations, opportunities and characteristics of the web such as downloading time and data transfer rates.

DOMUS application of activities recognition plans (ADL) of the occupant. The set O contains all the observed actions o1 detected by the system, in this case, only one action of the GoT oKitchen type, such as O = {GoT oKitchen(o1)}. The set Pso contains all the known plans including, in their decomposition, the observed action that is the plans P repareT ea and W ashDish. The lattice supremum corresponds to the smallest common subsumer of the set of possible plans Pso which is the partial plan made up solely by the observation.

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