The Complexity of Decentralized Control of Markov Decision Processes
Mathematics of Operations Research
CP '99 Proceedings of the 5th International Conference on Principles and Practice of Constraint Programming
Estimating information value in collaborative multi-agent planning systems
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Measuring the expected gain of communicating constraint information
Multiagent and Grid Systems - Planning in multiagent systems
Determining the value of information for collaborative multi-agent planning
Autonomous Agents and Multi-Agent Systems
Production Scheduling in an Agile Agent-Based Production Grid
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
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We consider the problem of computing optimal schedules in multi-agent systems. In these problems, actions of one agent can influence the actions of other agents, while the objective is to maximize the total 'quality' of the schedule. More specifically, we focus on multi-agent scheduling problems with time windows, hard and soft precedence relations, and a nonlinear objective function. We show how we can model and efficiently solve these problems with constraint programming technology. Elements of our proposed method include constraint-based reasoning, search strategies, problem decomposition, scheduling algorithms, and a linear programming relaxation. We present experimental results on realistic problem instances to display the different elements of the solution process.