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...
The structured programming literature provides methods and a wealth of heuristic knowledge for guiding the construction of provably correct imperative programs. We investigate the...
Abstract. We present a logic programming based conditional planner that is capable of generating both conditional and sequential conformant plans in the presence of sensing actions...
Abstract. This paper presents two approaches for generating and executing the plans of cognitive agents. They can be used to define the semantics of programming languages for cogni...
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...