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

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

This booklet constitutes the refereed lawsuits of the twentieth convention of the Canadian Society for Computational experiences of Intelligence, Canadian AI 2007, held in Montreal, Canada, in might 2007.

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

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Additional info 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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In Proc. of the 2nd Int. Conf. on Trust Management, LNCS, Vol. 2995 (2004) 251-265 8. : Trust-aware Collaborative Filtering for Recommender Systems. In Proc. of Int. Conf. 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.

In ACM Transactions on Information Systems 22 (2004) 437-476 2. : Propagation of Trust and Distrust. In Proc. of the 13th Int. Conf. on World Wide Web (2004), ACM Press 3. : Propagation Models for Trust and Distrust in Social Networks. In Information Systems Frontiers Vol. 7, Springer Netherlands (2005) 337 – 358 4. : Attack Resistant, Scalable Name Service. Draft submission to the 4th Int. Conf. on Financial Cryptography (2000) 5. : Item-based Collaborative Filtering Recommendation Algorithms.

An . A mixed strategy for player j is a distribution π j , where πaj j is the probability for player j to select some action aj . A strategy is pure if πaj j = 1 for some aj . A strategy profile is a collection Π = {π j |j = 1 . . n} of all players’ strategies. A reduced profile for player j, Π−j = Π\{π j }, is a strategy profile containing strategies of all players except j, and Π−j a−j is the probability for players k = j to play a joint action a−j ∈ A−j = A1 × . . × Aj−1 × Aj+1 × . . × An where a−j is ak |k = 1 .

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