The 7th Scandanavian Conference on Artificial Intelligence, held at the Maersk McKinney Moller Institute for Production Technology at the University of Southern Denmark, Odense, in Feb 2001 continued a tradition established by SCAI of being an important conference in Europe. It attracted submissions from all over the world. Contents include: robotics; sensor/motor intelligence; evolutionary robotics; behaviour-based systems; multi-agent systems; applications of AI in bioinformatics; soft computing and heuristic algorithms, where paradigms from nature are used to build learning and optimization systems; and control and optimization.
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The book covers the seventh Scandinavian Conference on Artificial Intelligence, held at the Maersk Mc-Kinney Moller Institute for Production Technology at the University of Southern Denmark during the period 20-21 February, 2001. It continues the tradition established by SCAI of being one of the most important regional AI conferences in Europe, attracting high quality submissions from Scandinavia and the rest of the world, including the Baltic countries. The contents include robotics, sensor/motor intelligence, evolutionary robotics, behaviour-based systems, multi-agent systems, applications of AI in bioinformatics, soft computing and heuristic algorithms, where paradigms from nature are used to build learning and optimization systems, control and optimisation.
The book covers the seventh Scandinavian Conference on Artificial Intelligence, held at the Maersk Mc-Kinney Moller Institute for Production Technology at the University of Southern Denmark during the period 20-21 February, 2001. It continues the tradition established by SCAI of being one of the most important regional AI conferences in Europe, attracting high quality submissions from Scandinavia and the rest of the world, including the Baltic countries. The contents include robotics, sensor/motor intelligence, evolutionary robotics, behaviour-based systems, multi-agent systems, applications of AI in bioinformatics, soft computing and heuristic algorithms, where paradigms from nature are used to build learning and optimization systems, control and optimisation.
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