AI 2008: Advances in Artificial Intelligence: 21st by Wayne Wobcke, Mengjie Zhang PDF

By Wayne Wobcke, Mengjie Zhang

ISBN-10: 3540893776

ISBN-13: 9783540893776

This publication constitutes the refereed complaints of the 21th Australasian Joint convention on man made Intelligence, AI 2008, held in Auckland, New Zealand, in December 2008.

The forty two revised complete papers and 21 revised brief papers awarded including 1 invited lecture have been conscientiously reviewed and chosen from 143 submissions. The papers are prepared in topical sections on wisdom illustration, constraints, making plans, grammar and language processing, statistical studying, desktop studying, information mining, wisdom discovery, delicate computing, imaginative and prescient and photograph processing, and AI applications.

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Additional resources for AI 2008: Advances in Artificial Intelligence: 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand, December 3-5, 2008,

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Logical properties of belief-revision-based bargaining solution. -h. ) AI 2006. LNCS (LNAI), vol. 4304, pp. 79–89. Springer, Heidelberg (2006) 14. : Syntax-based approaches to belief revision. ) Belief Revision, pp. 52–88. Cambridge University Press, Cambridge (1992) A Fixed-Point Property of Logic-Based Bargaining Solution 41 15. : Multi-agent belief revision. In: Proceedings of the Sixth Conference on Theoretical Aspects of Rationality and Knowledge, pp. 175–194. , San Francisco (1996) 16. : A Framework for Multi-Agent Belief Revision, Part I: The Role of Ontology.

ICPR, vol. 1, pp. 149–158 (2000) 18. com/research/mrl/research/opencv/ 19. : Hierarchical warp stereo. In: Proc. DARPA Image Understanding Workshop, pp. 149–155 (1984) 20. : Estimating 3D flow for driver assistance applications. Technical report, Computer Science Department, The University of Auckland (2008) 21. : The USC - Image Processing Institute data base, revision 1. USCIPI Report 780 (October 1976) 22. , Klette, R. ): RobVis 2008. LNCS, vol. 4931. Springer, Heidelberg (2008) 23. fr Abstract.

11]. However, there was no concrete negotiation function is constructed to satisfy the property. Meyer et al. gave a construction of negotiation function based on belief revision and discussed their logical properties [9,10]. Zhang and Zhang presented another belief-revision-based bargaining solution [12,13], which is similar to ours. However it is not too hard to verify that none of the above mentioned solutions satisfies the fixed-point property. Jin et al. [17] presents a mutual belief revision function that satisfies a fixed-point condition.

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AI 2008: Advances in Artificial Intelligence: 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand, December 3-5, 2008, by Wayne Wobcke, Mengjie Zhang


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