Abstract
Industrial products and systems are becoming to involve machine intelligence. As such products and systems have to work like friendly partners in collective human behavior, their designs are to match human cognitive characteristics. Thus, this study focuses on modeling for collective human behavior with cognitive processes. To develop such models the crucial issues are the treatment of: 1) physical, physiological, psychological and informational interactions among persons; 2) vagueness, ambiguity, uncertainty of human inner states and knowledge; 3) flexible information processing in human cognitive processes. To cope with these issues soft computing approaches are investigated, and the feasibility is shown through some examples.
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