AGent-Based Collaborative Decision-Making Processes For Dynamic Scheduling

Abstract

In this paper, agent-based collaborative decisionmaking processes are addressed to resolve the dynamic scheduling problem of a distributed project. If any delay event occurs, the self-interested activity agent, the major agent in the framework for dynamic scheduling, can automatically cooperate with other agents to solve the delay problem through a two-stage decision-making process: the fuzzy decision-making process and the compensatory negotiation process. The first stage determines which behavior strategy will be taken by agents while delay event occurs, and prepares to next stage; then the compensatory negotiations among agents are opened related with determination of compensations for respective decisions and strategies in the second stage.