Achieving conditional plans through the use of classical planning algorithms

Authors:
Jony Teixeira de Melo;Carlos Roberto Lopes
Affiliations:
Faculdade de Computação, Universidade Federal de Uberlândia (UFU), Uberlândia/MG, Brazil;Faculdade de Computação, Universidade Federal de Uberlândia (UFU), Uberlândia/MG, Brazil
Venue:
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
Year:
2006

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Abstract

In this work we concentrate on generating plans that take into account conditional actions. The main idea was to develop an algorithm that extended classical formalisms in a general way. By general way, we mean a flexible formalism that could use any algorithm for classical planning without any change. The result of our efforts was the development of a planner that we called METAPlan. In this paper we describe METAPlan and show some results of its performance.