title: Behavior-based robotics as a tool for synthesis of artificial behavior and analysis of natural behavior.
abstract: Work in behavior-based systems focuses on functional modeling, that is, the synthesis of life-like and/or biologically inspired behavior that is robust, repeatable and adaptive. Inspiration from cognitive science, neuroscience and biology drives the development of new methods and models in behavior-based robotics, and the results tie together several related fields including artificial life, evolutionary computation, and multi-agent systems. Ideas from artificial intelligence and engineering continue to be explored actively and applied to behavior-based robots as their role in animal modeling and practical applications is being developed.
authors.affiliation: Computer Science Department and Neuroscience Program, University of Southern California, 941 West 37th Place, SAL 228, Los Angeles, CA 90089-0781, USA.
authors.forename: M J
authors.initials: MJ
authors.lastname: Matarić