New PDF release: AI 2004: Advances in Artificial Intelligence: 17th

By Geoffrey Webb, Xinghuo Yu

ISBN-10: 3540240594

ISBN-13: 9783540240594

ISBN-10: 3540305491

ISBN-13: 9783540305491

This booklet constitutes the refereed complaints of the seventeenth Australian convention on man made Intelligence, AI 2004, held in Cairns, Australia, in December 2004.

The seventy eight revised complete papers and sixty two revised brief papers provided have been rigorously reviewed and chosen from 340 submissions. The papers are geared up in topical sections on brokers; biomedical functions; computing device imaginative and prescient, photograph processing, and development popularity; ontologies, wisdom discovery and knowledge mining; ordinary language and speech processing; challenge fixing and reasoning; robotics; and gentle computing.

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Additional resources for AI 2004: Advances in Artificial Intelligence: 17th Australian Joint Conference on Artificial Intelligence, Cairns, Australia, December 4-6, 2004, Proceedings

Sample text

3 Low Job Concentration In this section, we analyze the behavioral patterns of the agents when a job concentration is low (JCON=l/2) which means the number of employers is two times more than the number of workers (NW/NE=1/2). In this environment, workers have an advantage in finding his worksite partner. Table 5 shows the experimental results of a low job concentration with each job capacity. The rate of inactive agents is remarkably high in comparison with a high and a balanced job concentration regardless of a coalition.

14] U. Jendricke, M. Kreutzer, A. Zugenmaier. Pervasive Privacy with Identity Management. In Ubicom2002. (2002). [15] W. Stallings. Cryptography and Network Security. Prentice Hall. (2003). [16] M. J. Zaki. Parallel and Distributed Association Mining. IEEE Conccurency. (1999). 14-25. au Abstract. In this paper, we present a Top-Down/Bottom-Up (TDBU) design approach for critical damage reporting in intelligent sensor networks. This approach is a minimal hierarchical decomposition of the problem, which seeks a balance between achievability and complexity.

B. Cho tration (employer 6%, worker 5%). It results in the utility of employers and workers decreased when a coalition is allowed. Figure 4 depicts the variation of average payoffs in a low job concentration along generations. 4) when a job concentration is balanced and coalition is not allowed. , employers and workers) are cooperative in worksite interactions. Workers get fewer payoffs relatively than employers in every job capacity, which describes that they are exploited by aggressive employers due to an unfavorable market structure.

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AI 2004: Advances in Artificial Intelligence: 17th Australian Joint Conference on Artificial Intelligence, Cairns, Australia, December 4-6, 2004, Proceedings by Geoffrey Webb, Xinghuo Yu


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