A Novel Approach for Describing Goals with DLs in Intelligent Agents
Xiuguo Wu, Guangzhou Zeng, Gongping Yang · 2008
An important feature of intelligent agents is their ability to pursue goals in dynamic and complex domain autonomously. The goals of an intelligent agent represent its motivational stance and are the main source for the agentpsilas actions. Therefore, the explicit representation of goals and the ability to reason about them play an important role in goal-oriented intelligent agents systems, and are being regarded as one of significant study domain in computer science. Nevertheless, currently available goals representations do not represent them explicitly. This leads to a gap between design and implementation with respect to the available concepts. In this paper, we provide an explicit structure for goals, which integrate two types' goals: declarative goals and procedural goals into one concept based on Description Logics (DLs), which are able to represent structural knowledge in a formal and well-understood way. The object of this proposal is aimed at providing a feasible way between agent specification and implementation of goals. We also illustrate an application in migrating workflow system (MWfS) representing Migrating Instance (MI) with this approach in the end.