Associating A.I. Planner entities with an underlying time point network

Abstract

This article outlines the design rationale behind the entity and time representation and reasoning system incorporated into the o-plan2 planner. The paper shows the advantages of splitting the planning entities (such as activities, events and time orderings) from the underlying temporal information of the domain. This allows a single architecture to be tailored to act as planner, scheduler or controller with only minor changes in the knowledge required. The paper concludes with a description of the current o-plan2 system together with our early results and future research direction.