9783642130328 - Trends in Applied Intelligent Systems Kartoniert (TB)

EAN: 9783642130328

Produktdaten aktualisiert am: 10.11.2024
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Theneedforintelligentsystemstechnologyinsolvingreal-lifeproblemshasbeen consistently growing. In order to address this need researchers in the ?eld have been developing methodologies and tools to develop intelligent systems for so- ing complex problems. The International Society of Applied Intelligence (ISAI) through its annual IEA AIE conferences provides a forum for international s- enti?c and industrial community in the ?eld of Applied Arti?cial Intelligence to interactively participate in developing intelligent systems which are needed to solve twenty ?rst century s ever growing problems in almost every ?eld. The 23rdInternationalConference on Industrial Engineering and Other - plications of Applied Intelligence Systems (IEA AIE-2010) held in C ordoba Spain followed IEA AIE tradition of providing an international scienti?c forum for researchers in the ?eld of applied arti?cial intelligence. The presentations of theinvitedspeakersandauthorsmainlyfocusedondevelopingandstudyingnew methods to cope with the problems posed by real-life applications of arti?cial intelligence.Paperspresentedinthetwentythirdconferenceintheseriescovered theories as well as applications of intelligent systems in solving complex real-life problems. We received 297 papers for the main track selecting 119 of them with the highest quality standards. Each paper was revised by at least three members of the Program Committee. The papers in the proceedings cover a wide number of topics including: applications to robotics business and ?nancial markets bio- formaticsandbiomedicine applicationsofagent-basedsystems computervision control simulation and modeling data mining decision support systems evo- tionary computation and its applications fuzzy systems and their applications heuristic optimization methods and swarm intelligence intelligent agent-based systems internetapplications knowledgemanagementandknowledgebaseds- tems machine learning neural network applications optimization and heuristic search and other real-life applications.

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