FEAS: Fuzzy-Logic Based Environment Adaptive Scheduler for Agent System

According to the environment adaptability requirement of an autonomous agent system, this paper studies the mapping relationships between the dynamic environment aspects and task scheduling, and then, gives the definitions and computation models of the task, quality of scheduling (QoS) and fitness. Considering the dynamic and inaccurate parameters of environment, a new Fuzzy-logic based Environment Adaptive Scheduler (FEAS) is proposed. In FEAS, the Multi-State Fuzzy Controller (MSFC) can make decision with the environment aspects to adjust the scheduling quality of the multi task groups so as to ensure that the execution process can suit to dynamic environment as possible. Finally, an experiment to make an agent system with FEAS avoids obstacle autonomously is carried out. And the results prove that such task scheduling method we studied can improve its adaptability of an agent system.