By Yu Zhang (auth.), Ziad Kobti, Dan Wu (eds.)
This e-book constitutes the refereed court cases of the 20 th convention of the Canadian Society for Computational reports of Intelligence, Canadian AI 2007, held in Montreal, Canada, in may perhaps 2007.
The forty six revised complete papers provided have been rigorously reviewed and chosen from 260 submissions. The papers are geared up in topical part on brokers, bioinformatics, class, constraint pride, info mining, wisdom illustration and reasoning, studying, typical language, and planning.
Read Online or Download 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 PDF
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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
Attack Resistant Trust Metrics. D thesis, UC Berkeley, Berkeley, CA, USA (2003) 16. : The Pagerank Citation Ranking: Bringing Order to the Web. Technical Report, Stanford Digital Library Technologies Project (1998) 17. : Attack-resistance of computational trust models. In Proc. of the 12th IEEE Int. ca Abstract. Agent competition and coordination are two classical and most important tasks in multiagent systems. In recent years, there was a number of learning algorithms proposed to resolve such type of problems.
Conceptual Framework for Recommendation System based on Distributed User Ratings. LNCS, Vol. 3032 (2003) 115-122 13. : Collaborative Recommendation: A Robustness Analysis. ACM Transactions on Internet Technology, Vol. 4, No. 4 (2004) 344-377 14. : Towards Trustworthy Recommender Systems: An Analysis of Attack Models and Algorithm Robustness. to appear in ACM Transactions on Internet Technology, Vol. 7, No. 2 (2007) 15. : Attack Resistant Trust Metrics. D thesis, UC Berkeley, Berkeley, CA, USA (2003) 16.
Therefore, this study proposes a multiagent-based decision-making architecture where a market-based mechanism is facilitated to accommodate the dynamics and to process a large amount of distributed information. A multiagent-based decisionmaking framework is well known as it follows a nature of decentralization and has been suggested to overcome limitations of the centralized approach . 3 Iterative Auction Mechanism to Update Initial Deployment Plan Market-based control mechanism is a paradigm for controlling distributed and dynamic system by taking advantage of desirable features of a market, including decentralization, interacting agents, and notion of resource that need to be allocated .
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 by Yu Zhang (auth.), Ziad Kobti, Dan Wu (eds.)