ARCHITECTURES FOR COGNITIVE AND A-LIFE AGENTS

in Diagnostic and Investigative Medicine. He has worked in human visual perception and has over 14 years experience in artificial intelligence systems. These have been successfully applied to classification and computer vision problems in business, medicine and geology. He has research interests in cognitive science (in particular cognition, motivation and emotion), agent technology as a metaphor for the mind and as a vehicle for domain applications, the application of computational intelligence to medical domains and machine vision. He has published widely in all these fields. ABSTRACT In this chapter research into the nature of drives and motivations in computational agents is visited from a perspective drawing on artificial life and cognitive science. The background to this research is summarized in terms of the possibility of developing artificial minds. A particular cognitive architecture is described in terms of control states. Steps towards producing an implementation of this architecture are described by means of experimentation into the nature of specific control states. The design of a simple a-life architecture for a predator-prey scenario is described using a transition state diagram. This architecture is then used as a platform with which to develop an agent with drives. This second architecture is used to develop an agent with explicit motivations. The discussion of these (and other) experiments shows how these simple

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