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New PDF release: Advances in Artificial Intelligence: 17th Conference of the

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 publication constitutes the refereed court cases of the seventeenth convention of the Canadian Society for Computational reports of Intelligence, Canadian AI 2004, held in London, Ontario, Canada in could 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 awarded including the prolonged abstracts of 14 contributions to the graduate scholars' tune. the complete papers are equipped in topical sections on brokers, normal language processing, studying, constraint pride and seek, wisdom illustration and reasoning, uncertainty, and neural networks.

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Read or Download 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 PDF

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A computational version is a framework for doing computations based on sure specific ideas on a few enter information. those versions come for instance from automata thought, formal language conception, good judgment, or circuit idea. The computational strength of this kind of version could be judged by way of comparing definite issues of recognize to that version.

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Extra 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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This ranged from Balancing Robotic Teleoperation and Autonomy for Urban Search 27 Fig. 5. Comparison of number of victims identified in teleoperated, autonomous, and blending experiments in environments where 10% was covered in obstacles. All results are averages over 5 trials. Fig. 6. Comparison of number of victims identified in teleoperated, autonomous, and blending experiments in environments where 15% was covered in obstacles. All results are averages over 5 trials. 4 times the number of interactions for 20% obstacle coverage (see Fig.

For instance, imagine a 2D game where the player’s character is a knight in shining armor, and the background map is the player’s kingdom. To move the knight, the player clicks with a mouse on the spot on the map where they want to go, and the knight automatically ambles to that spot, intelligently navigating around obstacles along the way. g. [23]), and a graph is constructed from the grid by putting a node in each square that the knight is allowed to be in. Two nodes/squares are considered connected if the knight can move directly between them without impediment.

First, on real robots, perfect localization is no longer a simple assumption. Odometry on real robots is likely to have at least some noise, and that noise will be cumulative. The application of vision and other sensor technology would have to be employed in order to have useful localization. Another assumption that has to be dealt with is the increase in sensor noise and environment complexity. Vision in particular will be a challenging problem in a real robot compared to a simulated one, and a more sophisticated method for handling errors will have to be developed.

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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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