By Ahmed Y. Tawfik, Scott D. Goodwin

This e-book constitutes the refereed lawsuits of the seventeenth convention of the Canadian Society for Computational reports of Intelligence, Canadian AI 2004, held in London, Ontario, Canada in may well 2004. The 29 revised complete papers and 22 revised brief papers have been rigorously reviewed and chosen from one zero five submissions. those papers are offered including the prolonged abstracts of 14 contributions to the graduate scholars' music. the total papers are prepared in topical sections on brokers, common language processing, studying, constraint pride and seek, wisdom illustration and reasoning, uncertainty, and neural networks.

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A popular variation on hill-climbing is simulated annealing, where the next state is chosen probabilistically with the probability based on a constantly falling temperature value, and the scores of the candidate nodes. Another popular approach is to use a population of candidate solutions, and to apply various transformations to these candidates, often inspired by natural processes. For instance, evolutionary algorithms, genetic algorithms, ant systems, and swarm algorithms all maintain a population of candidate states, and modifying them in various ways to achieve a new population [21,22].

A discrete theory of emotion identifies emotion as discrete states, often labeling them with conventional emotional terms. For instance, Plutchik [16] distinguishes between eight basic emotions: fear, anger, sorrow, joy, disgust, acceptance, anticipation, and surprise. In T. Donaldson, A. Park, and I-L. Lin 34 a continuous theory, emotions are points a continuous space, where the axes are continuous scales such as arousal, valence, and control [3]. 1 The OCC Theory Another theory of emotions, popular among some AI researchers, is the so-called OCC theory by Ortony, Clore, and Collins [17,18].

Human-robot interactions during the robot-assisted urban search and rescue response at the world trade center. Master’s thesis, University of South Florida (2002) Computer Science and Engineering. 2. : Workflow study on human-robot interaction in USAR. In: Proceedings of the International Conference on Robotics and Automation. , Washington (2002) 1997–2003 3. : Experiences in deploying test arenas for autonomous mobile robots. In: Performance Metrics for Intelligent Systems Workshop, Mexico City, Mexico (2001) 4.

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