Advances in Artificial Intelligence -- IBERAMIA 2004: 9th Ibero-American Conference on AI, Puebla, Mexico, November 22-26, 2004, Proceedings
Christian Lemaitre, Carlos A. Reyes, Jesus A. Gonzalez
Springer, Dec 22, 2004 - Artificial intelligence - 987 pages
This book constitutes the refereed proceedings of the 9th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2004, held in Puebla, Mexico in November 2004. The 97 revised full papers presented were carefully reviewed and selected from 304 submissions. The papers are organized in topical sections on distributed AI and multi-agent systems, knowledge engineering and case-based reasoning, planning and scheduling, machine learning and knowledge acquisition, natural language processing, knowledge representation and reasoning, knowledge discovery and data mining, robotics, computer vision, uncertainty and fuzzy systems, genetic algorithms and neural networks, AI in education, and miscellaneous topics.
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adaptive addition chain agent applied approach architecture Artificial Intelligence attributes behavior Berlin Heidelberg 2004 C.A. Reyes chatterbots classification clusters components Computer considered constraints data set defined differential evolution domain dynamic environment error evaluation Evolutionary evolutionary algorithm example experiments function fuzzy fuzzy agent Genetic Algorithm goal graph heuristic IBERAMIA IEEE implementation initial input interaction International iterations J.A. Gonzalez Eds kernel knowledge LNAI logic programs Machine Learning matrix measure method module multi-agent systems neural network neurons nodes non-uniform sampling object obtained operator optimization output paper parameters patterns performance phase phase unwrapping pixels planning prediction presented problem proposed random reduce representation represented robot Rough Set rules samples segmentation selected semantics shows solution solve space Springer-Verlag Berlin Heidelberg strategy structure subset symbolic data Table task techniques tupling update variables vector WSPT