Download Advances in Artificial Intelligence: 17th Conference of the by Roberto A. Flores, Robert C. Kremer (auth.), Ahmed Y. PDF

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

This e-book constitutes the refereed court cases of the seventeenth convention of the Canadian Society for Computational experiences of Intelligence, Canadian AI 2004, held in London, Ontario, Canada in may possibly 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 provided including the prolonged abstracts of 14 contributions to the graduate scholars' music. the entire papers are prepared in topical sections on brokers, common language processing, studying, constraint delight and seek, wisdom illustration and reasoning, uncertainty, and neural networks.

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Extra resources 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 most crucial event that can occur in the USAR domain, however, is the detection of victims. Victim identification is an extremely difficult task to perform well purely autonomously [4,14], and so is one of the primary reasons why an operator would desire to be interrupted. In our approach, the intervention recognition system is responsible for identifying when an object in the environment resembles a victim and notifying the operator. The intent is for the operator to make a judgment whether a victim is at the location, since the agent is likely to make errors in victim identification.

11] present the notion of neglect in remotely controlled agents. They describe neglect as the amount of time during which the agent is not receiving some sort of instruction. They show that this down time can hinder the performance of the robot, and can be due to the operator turning his or her attention away from the agent, or from delays between issuing commands and the agent receiving those commands. They also describe a robot control system consisting of a set of robot behaviors and a user interface for controlling the agents.

E. the operator shifted attention to another agent) the autonomous portion of the blending control system could guide the robot back to an explored area. This happened less at lower obstacle coverage levels: since there are fewer obstacles, there are fewer course changes necessary for agents to go around them when operating without benefit of an operator, and less likelihood of heading back toward an area that an operator just steered the agent away from. Fig. 1. Average (n=5) environment coverage achieved by autonomous, blended teleautonomous and teleoperated agents in environments where 10% was covered in obstacles.

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