By Aijun An, Nick Cercone, Xiangji Huang (auth.), Eleni Stroulia, Stan Matwin (eds.)
AI 2001 is the 14th within the sequence of Arti cial Intelligence meetings backed by means of the Canadian Society for Computational stories of Intelligence/Soci et e - nadienne pour l’ etude de l’intelligence par ordinateur. As used to be the case final yr too, the convention is being held along with the yearly meetings of 2 different Canadian societies, portraits Interface (GI 2001) and imaginative and prescient Int- face (VI 2001). We think that the general adventure should be enriched by way of this conjunction of meetings. This 12 months is the \silver anniversary" of the convention: the rst Canadian AI convention was once held in 1976 at UBC. in the course of its lifetime, it has attracted Canadian and overseas papers of top of the range from numerous AI examine parts. All papers submitted to the convention obtained at the least 3 indep- dent reports. nearly one 3rd have been permitted for plenary presentation on the convention. the simplest paper of the convention should be invited to seem in Computational Intelligence.
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Additional resources for Advances in Artificial Intelligence: 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001 Ottawa, Canada, June 7–9, 2001 Proceedings
Below we describe the multi-word term extraction algorithm in two parts: the main extraction driver and the recursive term extension algorithm. 1 Extraction Driver Figure 2 outlines the main driver for the multi-word term extraction algorithm. The input proximity database consists of the bigram frequencies of a corpus. In the first step of the algorithm, we update this database with new features. Given a twoword candidate c, we consider all possible expansions e of c containing no more than k words on each side.
G. products or services) or monitoring ongoing auctions. All the agents of the holon have one common goal since they are all striving for fulfilling the assigned tasks while expending as few resources as possible. 2 Functionality of the Agents Each bundle agent that wants to perform a basic task, has to gather information about appropriate auction houses at first. Subsequently, it has to select an auction house together with an advantageous auction mechanism whose rules give him a strategic advantage.
T. M. Laseter. Balanced Sourcing: Cooperation and Competition in Supplier Relationships. Jossey-Bass, ISBN: 0787944432, October 1998. W. H. Davidow and M. S. Malone. The Virtual Corporation: Structuring and revitalizing the corporation for the 21st century. New York: Harper Business, 1992. W. Vickrey. Counterspeculation, Auctions, and Competitive Sealed Tenders. In: Journal of Finance 16: 8- 37, 1961. G. Vierke. TELETRUCK - A Holonic Multi-Agent System for Telematics. PhD Thesis, Universität des Saarlandes, Saarbrücken, 2000.
Advances in Artificial Intelligence: 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001 Ottawa, Canada, June 7–9, 2001 Proceedings by Aijun An, Nick Cercone, Xiangji Huang (auth.), Eleni Stroulia, Stan Matwin (eds.)