Advances in Artificial Intelligence: 17th Conference of the - download pdf or read online

By Roberto A. Flores, Robert C. Kremer (auth.), Ahmed Y. Tawfik, Scott D. Goodwin (eds.)

ISBN-10: 3540220046

ISBN-13: 9783540220046

ISBN-10: 3540248404

ISBN-13: 9783540248408

This booklet constitutes the refereed lawsuits of the seventeenth convention of the Canadian Society for Computational experiences 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 conscientiously reviewed and chosen from a hundred and five submissions. those papers are provided including the prolonged abstracts of 14 contributions to the graduate scholars' song. the entire papers are geared up in topical sections on brokers, traditional language processing, studying, constraint delight and seek, wisdom illustration and reasoning, uncertainty, and neural networks.

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This booklet constitutes the refereed court cases of the seventeenth convention of the Canadian Society for Computational reviews 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 conscientiously reviewed and chosen from a hundred and five submissions.

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Additional info for Advances in Artificial Intelligence: 17th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2004, London, Ontario, Canada, May 17-19, 2004. Proceedings

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The characters refused to step over them, and so would eventually die unless you moved the plates. Emotional Pathfinding 4 37 Combining Emotions and Pathfinding In our work, we have combined A* search and a variation of the OCC model of emotions. We have decided to initially concentrate on modeling a problem described by Minsky in [2]. In Minsky’s problem, the agent is driven by thirst and hunger. Unfortunately, all the food is at the North end of the map, and all the water is far away at the South end.

Since the operator was notified by the intervention recognition system whenever an agent became stuck, the operator was often able to free the agent in a timely manner, reducing the amount of time any 26 R. Wegner and J. Anderson particular blending agent spent immobile. In the lower obstacle coverage trials (5% and 10% obstacle coverage), agents became stuck less overall. Moreover, when agents did get stuck, they tended to get stuck less severely, and therefore it was easy for the operator to get the agent mobile again.

1 Pseudocode for Emotional Pathfinding In our experiments we use a single agent whose main search procedure is called EMOTIONAL-SEARCH (see Figure 1). It takes four pieces of input: a starting 38 T. Donaldson, A. Park, and I-L. Lin node, a set of goals to be achieved, the emotional state E, and the A* heuristic function The agent is either MOVING, THINKING, or PANICKING. When it is THINKING, we consider it to be consciously performing a variation of A* search we call emotional A*, or eA* for short.

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Advances in Artificial Intelligence: 17th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2004, London, Ontario, Canada, May 17-19, 2004. Proceedings by Roberto A. Flores, Robert C. Kremer (auth.), Ahmed Y. Tawfik, Scott D. Goodwin (eds.)


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