A major deterrent to increased machining productivity is the lack of a unified approach to solve the planning, coordination, and decision making of intelligent machines. In this paper, a new theoretical foundation is developed for intelligent machines based on distributed multi-agent problem solving using constraint satisfaction with feedback. The theory is being applied successfully to the hierarchical intelligent control of robots.
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