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Advances in Artificial Intelligence: 20th Conference of the by Yu Zhang (auth.), Ziad Kobti, Dan Wu (eds.)

By Yu Zhang (auth.), Ziad Kobti, Dan Wu (eds.)

This e-book constitutes the refereed lawsuits of the 20 th convention of the Canadian Society for Computational reports of Intelligence, Canadian AI 2007, held in Montreal, Canada, in may possibly 2007.

The forty six revised complete papers awarded have been rigorously reviewed and chosen from 260 submissions. The papers are prepared in topical part on brokers, bioinformatics, type, constraint delight, information mining, wisdom illustration and reasoning, studying, typical language, and planning.

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Advances in Artificial Intelligence: 20th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2007, Montreal, Canada, May 28-30, 2007. Proceedings

This publication constitutes the refereed court cases of the 20 th convention of the Canadian Society for Computational reviews of Intelligence, Canadian AI 2007, held in Montreal, Canada, in could 2007. The forty six revised complete papers offered have been rigorously reviewed and chosen from 260 submissions. The papers are geared up in topical part on brokers, bioinformatics, category, constraint delight, information mining, wisdom illustration and reasoning, studying, ordinary language, and making plans.

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Extra resources for Advances in Artificial Intelligence: 20th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2007, Montreal, Canada, May 28-30, 2007. Proceedings

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This fact is remaining for further investigation. 36 A. Burkov, A. Boularias, and B. Chaib-draa Table 1. Effective running time in different games, in seconds. Game PHC×PHC PHC×IGA PHC×APQ IGA×IGA IGA×APQ APQ×APQ Coordination 69 98 113 128 117 153 Adversarial 86 121 147 171 280 218 Finally, we measured the average running time of all experiments (Table 1). As expected, the PHC algorithm was the fastest in terms of calculation time (it is, in fact, the simplest in terms of the amount of calculations required at each iteration).

On Cooperative Information Systems (2004) 9. : An Algorithmic Framework for Performing Collaborative Filtering. In Proc. of the 22nd ACM SIGIR Conf. on Research and Development in Information Retrieval (1999) 10. : Programming and Deploying Java Mobile Agents with Aglets. Addison-Wesley (1998) 11. Jung, J. : Visualizing recommendation flow on social networks. Journal of Universal Computer Science, Vol. 11, No. 11 (2005) 1780-1791 12. : Conceptual Framework for Recommendation System based on Distributed User Ratings.

This means that the direct trust opinions have positive influence on the prediction quality. 01 0 Absoluye Prediction Shift Accessed Malicious Users Robustness against Profile Injection Attack. To evaluate the robustness against a malicious attack, a set of manipulated user profiles including arbitrary 50 ratings each was inserted into the original training dataset, while the number of these profiles was increased from 100 to 2000. Each user in the manipulated set was made to have the trust edges to all users in the set while some users in the original set were made to present trust to some of manipulated users.

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