Advances in Artificial Intelligence: 17th Conference of the by Ahmed Y. Tawfik, Scott D. Goodwin

By Ahmed Y. Tawfik, Scott D. Goodwin

Followingalongtraditionofexcellence,theseventeentheditionoftheconference of the Canadian Society for the Computational experiences of Intelligence persevered the luck of its predecessors. This variation re?ected the strength and variety of the Canadian AI group and the numerous overseas partnerships that this group has effectively validated. AI 2004 attracted top of the range submissions from Canada and all over the world. All papers submitted have been completely reviewed through this system comm- tee. Eachpaperwasassignedtoatleastthreeprogramcommitteemembers. Out of105submissionstothemainconference,29paperswereincludedasfullpapers inthisvolume,and22asshort/positionpapers. Threeworkshopsandagraduate symposium have been additionally linked to AI 2004. during this quantity, 14 papers chosen from 21 submissions to the graduate symposium were integrated. We invited 3 uncommon researchers to offer talks representing their energetic study in AI: Fahiem Bacchus, Michael Littman, and Manuela Veloso. it should were most unlikely to arrange this type of profitable convention wi- out the support of a lot of persons. we want to precise our appreciation to the authors of the submitted papers, and to this system committee individuals and exterior referees who supplied well timed and signi?cant experiences. specifically, we want to thank Luis Rueda for organizing the reviewing of the graduate symposium submissions, and Eric Mulvaney for delivering invaluable information in thepreparationoftheproceedings. Tomanagethesubmissionandreviewingp- cess we used CyberChair built via Richard van de Stadt. Christine Gun ¨ ther from Springer has patiently attended to many editorial info. We owe detailed due to Bob Mercer for dealing with the neighborhood preparations.

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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. 8). Even with the additional attention required by the more dense environments, the blending control system required less attention from the operator, which contributes to a lower cognitive load.

Assessment of the NIST standard test bed for urban search and rescue. In: Proceedings of AAAI Mobile Robotics Competition Workshop, Austin, TX (2000) 11–16 5. : A pragmatic approach to robotic rescue: The keystone fire brigade. In: Proceedings of the AAAI-02 Mobile Robot Competition Workshop, Edmonton, Alberta (2002) 38–43 6. : The keystone fire brigade 2003. In: Proceedings of the IJCAI-03 Mobile Robot Competition Workshop, Acapulco, Mexico (2003) 30–35 7. : Integration of reactive and telerobotic control in multiagent robotic systems.

In C. L. Johnson, editors, Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, pages 527–534, Bologna, Italy, July 2002. ca Abstract. In highly complex domains such as disaster rescue, today’s autonomous agents simply do not have the ability to perform successfully on their own: the environment is difficult to traverse and to sense accurately, time is a significant factor, and the unpredictable nature of the environment tends to preclude the ability to produce extensive plans for future activity.

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