Distributed problem solving and planning
Mutli-agents systems and applications
Algorithms for Distributed Constraint Satisfaction: A Review
Autonomous Agents and Multi-Agent Systems
Distributed Negotiation-Based Task Planning for a Flexible Manufacturing Environment
MAAMAW '94 Proceedings of the 6th European Workshop on Modelling Autonomous Agents: Distributed Software Agents and Applications
Constraint Processing
A distributed framework for solving the Multiagent Plan Coordination Problem
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Distributed Planning Algorithm for Coalition Logistics in Semi-trusted Environment
DIS '06 Proceedings of the IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications
Branching and pruning: an optimal temporal POCL planner based on constraint programming
Artificial Intelligence
HTN planning for Web Service composition using SHOP2
Web Semantics: Science, Services and Agents on the World Wide Web
A resource enhanced HTN planning approach for emergency decision-making
Applied Intelligence
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Distributed or multi-agent planning extends classical AI planning to domains where several agents can plan and act together. There exist many recent developments in this discipline that range over different approaches for distributed planning algorithms, distributed plan execution processes or communication protocols among agents. One of the key issues about distributed planning is that it is the most appropriate way to tackle certain kind of planning problems, specially those where a centralized solving is unfeasible. In this paper we present a new planning framework aimed at solving planning problems in inherently distributed domains where agents have a collection of private data which cannot share with other agents. However, collaboration is required since agents are unable to accomplish its own tasks alone or, at least, can accomplish its tasks better when working with others. Our proposal motivates a new planning scheme based on a distributed heuristic search and a constraint programming resolution process.