Abstract
Intelligent Autonomous Vehicles require that system architectures respond in real-time to external events. A practical design of vehicle will also likely consist of a number of processing modules. In addition, to accommodate intelligence, the use of knowledge-based systems is envisioned. This paper describes an implementation of an architecture meeting the above needs; a real-time distributed problem-solving system. The requirements for such an architecture are outlined and a method of implementation is given. Experimental results of the architecture are also presented, indicating that greater processing coherency is required for distributed problem-solving systems when operating in real-time
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