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Planning via Heuristic Search in a Petri Net Framework.

Passino, K.M.; Antsaklis, P.J.

In: Stephanou, H.E.; et al.: Proceedings of the IEEE International Symposium on Intelligent Control, 1988, Arlington, VA, USA, pages 350-355. Washington, DC, USA: IEEE Comput. Soc. Press, 1989.

Abstract: An artificial intelligence planning system's main components consist of a planner and a problem domain. The problem domain is the environment about which the planner reasons and on which it takes action. In the paper, a special type of extended input/output Petri net is defined and then used as the problem representation for a wide class of problem domains. A planning strategy is developed using results from the theory of heuristic search. The planning system architecture is discussed, and, as an illustration of the results, two simple planning problems are modeled and solved.

Keywords: planning (via) heuristic search; extended input/output net.

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