By Pedro Domingos (auth.), Qiang Yang, Geoff Webb (eds.)
ISBN-10: 3540366679
ISBN-13: 9783540366676
This e-book constitutes the refereed complaints of the ninth Pacific Rim overseas convention on man made Intelligence, PRICAI 2006, held in Guilin, China in August 2006.
The eighty one revised complete papers and 87 revised brief papers awarded including three keynote talks have been conscientiously reviewed and chosen from 596 submissions. The papers are geared up in topical sections on clever brokers, automatic reasoning, computer studying and information mining, normal language processing and speech reputation, machine imaginative and prescient, belief and animation, evolutionary computing, commercial functions, clever brokers, computerized reasoning, evolutionary computing, online game, computing device studying and information mining, info retrieval, common language processing, neural networks, and desktop vision.
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Extra info for PRICAI 2006: Trends in Artificial Intelligence: 9th Pacific Rim International Conference on Artificial Intelligence Guilin, China, August 7-11, 2006 Proceedings
Example text
1971. 3. A. G. Hernandez, A. E. Segrouchini, and H. Soldano. BDI multiagent learning based on first-order induction of logical decision trees. In S. O. N. Zhong, J. Liu and J. Bradshaw, editors, Intelligent Agent Technology: Research and Development. World Scientific, New Jersey, 2001. 4. F. Ingrand, M. Georgeff, and A. Rao. An architecture for real-time reasoning and system control. In IEEE Expert, volume 7(6), pages 34–44. 1992. 5. F. F. Ingrand and M. P. Georgeff. Managing deliberation and reasoning in real-time AI systems.
Text classification from labeled and unlabeled documents using EM. Machine Learning, 39(2-3):103–134, 2000. 10. Y. Rui, T. S. Huang, M. Ortega, and S. Mehrotra. Relevance feedback: a power tool for interactive content-based image retrieval. IEEE Transactions on Circuits and Systems for Video Technology, 8(5):644–655, 1998. 11. H. Seung, M. Opper, and H. Sompolinsky. Query by committee. In Proceedings of the 5th ACM Workshop on Computational Learning Theory, pages 287–294, Pittsburgh, PA, 1992. 12.
Firstly, beliefs or belief base (B) correspond to a model or knowledge about the world which can be updated directly by events captured on the sensors. Secondly, the agent’s desires or goals (G) correspond to conditions the agent wants to fulfill. The desires invoke finding ways to achieve them and select one (or some) to act upon. Thirdly, the selected ways to be committed for execution are the intentions (Γ ). Lastly, the knowledge of how to achieve certain desires or goals are stored in the plans or the plan library.
PRICAI 2006: Trends in Artificial Intelligence: 9th Pacific Rim International Conference on Artificial Intelligence Guilin, China, August 7-11, 2006 Proceedings by Pedro Domingos (auth.), Qiang Yang, Geoff Webb (eds.)
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