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Download Advances in Artificial Intelligence: 4th Helenic Conference by Nikolaos Bourbakis (auth.), Grigoris Antoniou, George PDF

By Nikolaos Bourbakis (auth.), Grigoris Antoniou, George Potamias, Costas Spyropoulos, Dimitris Plexousakis (eds.)

This publication constitutes the refereed lawsuits of the 4th Hellenic convention on man made Intelligence, SETN 2006, held at Heraklion, Crete, Greece in may possibly 2006.

The forty three revised complete papers and prolonged abstracts of 34 revised brief papers awarded including 2 invited contributions have been rigorously reviewed and chosen from a hundred twenty five submissions. The papers deal with any sector of synthetic intelligence; specific fields of curiosity contain: common sense programming, knowledge-based structures, clever info retrieval, computing device studying, neural nets, genetic algorithms, facts mining and data discovery, hybrid clever platforms and techniques, clever brokers, multi-agent structures, clever disbursed structures, intelligent/natural interactivity, clever digital environments, making plans, scheduling, and robotics.

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IEEE Trans. on Neural Networks, 62(2):494–498, 2005. 15. Huang Z. Extensions to the k-Means algorithm for clustering large data sets with categorical values. Data Mining and Knowledge Discovery, 2(3):283–304, 1998. An Efficient Hardware Implementation for AI Applications Alexandros Dimopoulos, Christos Pavlatos, Ioannis Panagopoulos, and George Papakonstantinou National Technical University of Athens, Dept. gr Abstract. A hardware architecture is presented, which accelerates the performance of intelligent applications that are based on logic programming.

18. Bratman, M. : Intentions, Plans and Practical Reason. Harvard University Press, 1987. gr Abstract. In this paper a new maximum a posteriori (MAP) approach based on mixtures of multinomials is proposed for discovering probabilistic patterns in sequences. The main advantage of the method is the ability to bypass the problem of overlapping patterns in neighboring positions of sequences by using a Markov random field (MRF) prior. This model consists of two components, the first models the pattern and the second the background.

From Agent Theory to Agent Construction: A Case Study. Intelligent Agents III, Müller, J. , Jennings, N. R. ), LNAI 1193, Springer, 1997, pp. 49-64. 24 G. Anastassakis and T. Panayiotopoulos 10. , Capin, T. , Pandzic, I. : The HUMANOID Environment for Interactive Animation of Multiple Deformable Human Characters. Computer Graphics Forum, Vol. 14(3), 1995, pp. 337-348. 11. : AgentBuilder: an Integrated Tookit for Constructing Intelligent Software Agents. com/, 1999. 12. : JACK Intelligent Agents – Components for Intelligent Agents in Java.

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