Some issues about the representation and exploitation of imprecise temporal knowledge for an AI planner

Abstract

This paper discusses the need for an AI temporal planner to represent ill defined and imprecise temporal knowledge for real world problems. The ability to deal with imprecise knowledge provides a flexible framework for temporal planning, in contrast with the rigidity of classical temporal planners, and it concerns all of the stages of the planning process, that is, from domain and plan representation to plan generation and execution monitoring.