Despite the extensive development of first-principles planning in recent years, planning applications are still primarily developed using knowledge-based planners which can exploi...
We describe HTN-MAKER, an algorithm for learning hierarchical planning knowledge in the form of decomposition methods for Hierarchical Task Networks (HTNs). HTNMAKER takes as inpu...
One big obstacle to understanding the nature of hierarchical task network (htn) planning has been the lack of a clear theoretical framework. In particular, no one has yet presente...
We describe a method for cascading Description Logic (DL) representation and reasoning on the one hand, and HTN action planning on the other. The planning domain description as wel...
abstract. In this paper we investigate a formalism for solving planning problems based on ordered task decomposition using Answer Set Programming (ASP). Our planning methodology is...