Abstract

In this paper, we show that there is a simple connection between logic programming and planning. The main result of this paper is the following: given any planning domain consisting of an initial state, and a set of operation definitions, this domain can be translated, in linear-time, to a logic program such that a given goal G is achievable in the planning domain iff a related goal G ? is true in some stable model of the logic program obtained by the translation. We show that this translation yields at least two interesting consequences: (1) methods to update databases can be used to handle surprises when executing plans (i.e. a surprise occurs when an initial plan is partly executed, but one of the resulting intermediate states differs, perhaps due to external reasons, from what is predicted). (2) rigid actions, which are actions that must be executed when their pre-conditions are true, can be easily accommodated within our framework as well. 1 Introduction One of the fundamental ...

Citations