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    Progress in connectionist-based information system

    Por KASABOV, NIKOLA, KO, KITTY, KOZMA, ROBERT

    Sobre

    These two volumes consist of about 350 papers in three main areas of artificial intelligence and neurocomputing, namely: (1) modelling the brain; (2) methods of soft computing; (3) applications of intelligent information systems. The materials, contained in two volumes, emphasise the importance of connectionist-based information systems which use neural networks and other methods to achieve intelligent information processing, such as speech recognition and language understanding, pattern recognition, vision, learning and adaptation, planning, and decision making. Some of the methods of the connectionist-based information systems directly model the physical organisation of the human brain, which is the area of brain-like computing. Other methods model cognitive aspects of human behaviours, which is the area of cognitive engineering. A third group of methods are based on statistical and probability theory. All these methods are presented and applied on concrete problems. Many connectionist-based systems are described in different papers of the two volumes. These two volumes are a comprehensive and up-to-date guide to the diverse topics of neuro-computing, artificial intelligence and knowledge engineering.
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