Multi-Stage Cooperation Algorithm and Tools for Agent-Based Planning and Scheduling in Virtual Learning Environment.
Leonid Sheremetov, Gustavo Adolfo Casañ Núñez · 1999
In this paper we describe a problem of generating of study plans in the virtual learning environment, which we have named EVA (states for Virtual Learning Spaces in Spanish). Planning of trajectories and scheduling of learning activities in loosely coupled knowledge domains are performed for each student within a number of temporal and spatial constraints. A model of knowledge for each domain is represented as a type of semantic network, called a concept graph. Cooperative agents responsible for local planning and scheduling are associated with each knowledge domain. A planning procedure over AND-OR graphs is used to generate plan alternatives. A number of heuristics are applied while agent is committed to a particular local plan, which is communicated to the agents controlling related domains. Multistage negotiation algorithm provides means by which an agent can acquire enough knowledge to reason about the impact of his local planes and to achieve globally consistent solution. A facilitator agent coordinates agent's activity.