A case-based planning approach to design and plan ITMAS

Abstract

Case-based planning which is an induction-based mechanism, has many practical applications in designing and planning of multi-agent systems, which has been recently known as a powerful processing tool in transactional and interactive environments. Intelligent tutoring systems, that have drawn the most attention in the computational mechanisms of concept transition in recent years, have successfully put into practice the concept of multi-agent interaction as well. This paper describes the advances applied in our intelligent tutoring multi-agent system architecture which facilitate meeting the requirements of intelligent tutoring systems and their users. In addition throughout this paper it is explained how case-based planning is utilized for designing and planning the proposed intelligent tutoring multi-agent system to attain an optimized final plan for current user or environment.