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

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

The ebook provides forty seven revised complete papers, conscientiously reviewed and chosen from 220 submissions. The papers are prepared in topical sections on brokers, bioinformatics, constraint pride and allotted seek, wisdom illustration and reasoning, common 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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Additional 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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For instance, Boger et al. [6] used such approach in the development of the COACH system; a cognitive aide for patients with dementia based on a partially observable Markov decision process (POMDP). g. prompts or reminders). The weakness of the probabilistic approaches stems from the heuristic methods used to compute the probability of each competing hypothesis, which are highly dependent on the context [7]. The learning techniques seek to identify patterns from the observed actions in order to build a probabilistic predictive model of the observed agent behaviour.

Assistance to people suffering from cognitive deficiencies in a smart home raises complex issues. Plan recognition is one of them. We propose a formal framework for the recognition process based on lattice theory and action description logic. The framework minimizes the uncertainty about the prediction of the observed agent’s behaviour by dynamically generating new implicit extra-plans. This approach offers an effective solution to actual plan recognition problem in a smart home, in order to provide assistance to persons suffering from cognitive deficits.

Baeijs [14] used agents to solve spatial conflicts during the map generation process. Duchêne [15] used agents in order to generate automatically new data using predefined sequences of spatial transformations. Other authors proposed a web-based Using Multiagent Systems to Improve Real-Time Map Generation 41 map information retrieval technique to search for geographical information using agents [16]. However, the main research work that investigated the automatic map generation process using multiagent systems was the AGENT2 project.

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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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