The most efficient planning algorithms recently developed are mainly based on Graphplan system or on sat-isfiability approach. In this paper we present a new approach to plan generation based on planning graph analysis, which can be considered as a bridge between the two planning approaches. The method exploits the propagation of planning axioms and… (More)
A reason maintenance system which extends an ATMS through Mukaidono's fuzzy logic is described. It supports a problem solver in situations affected by incomplete information and vague data, by allowing nonmonotonic inferences and the revision of previous conclusions when contradictions are detected.
In this paper a planning framework based on Ant Colony Optimization techniques is presented. It is well known that finding optimal solutions to planning problems is a very hard computational problem. Stochastic methods do not guarantee either optimality or completeness , but it has been proved that in many applications they are able to find very good, often… (More)