Towards a theory of conflict detection and resolution in nonlinear plans

Authors:
Joachim Hertzberg;Alexander Horz
Affiliations:
Forschungsgruppe Expertensysteme, Gesellschaft fur Mathematik und Datenverarbeitung, Sankt Augustin, F.R.G.;Forschungsgruppe Expertensysteme, Gesellschaft fur Mathematik und Datenverarbeitung, Sankt Augustin, F.R.G.
Venue:
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Year:
1989

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Abstract

This paper deals with a well known problem in AI planning: detecting and resolving conflicts in nonlinear plans. We sketch a theory of restricted conflict detection and resolution that subsumes conflict handling in classical nonlinear planners. By relaxing the restrictions, we develop a more general concept of conflicts suggesting practical and theoretical limitations of conflict handling in nonlinear plans.