Divide and conquer in multi-agent planning
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Top-down search for coordinating the hierarchical plans of multiple agents
Proceedings of the third annual conference on Autonomous Agents
Evaluating new options in the context of existing plans
Artificial Intelligence
Introduction to Algorithms
An Automated Teamwork Infrastructure for Heterogeneous Software Agents and Humans
Autonomous Agents and Multi-Agent Systems
Discovering and exploiting synergy between hierarchical planning agents
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Detecting & exploiting positive goal interaction in intelligent agents
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
A distributed framework for solving the Multiagent Plan Coordination Problem
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Partial-order planning with concurrent interacting actions
Journal of Artificial Intelligence Research
Learning first-order definitions of functions
Journal of Artificial Intelligence Research
Fast planning through planning graph analysis
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Pushing the envelope: planning, propositional logic, and stochastic search
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
A distributed framework for solving the Multiagent Plan Coordination Problem
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Multi-Agent Coordination and Cooperation through Classical Planning
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Planning Actions with Social Consequences
Agent Computing and Multi-Agent Systems
Logic Programming for Multiagent Planning with Negotiation
ICLP '09 Proceedings of the 25th International Conference on Logic Programming
Continual planning and acting in dynamic multiagent environments
Autonomous Agents and Multi-Agent Systems
Efficient and distributable methods for solving the multiagent plan coordination problem
Multiagent and Grid Systems - Planning in multiagent systems
Distributed AI for ambient intelligence: issues and approaches
AmI'07 Proceedings of the 2007 European conference on Ambient intelligence
Planning for multiagent using ASP-prolog
CLIMA'09 Proceedings of the 10th international conference on Computational logic in multi-agent systems
MATES'11 Proceedings of the 9th German conference on Multiagent system technologies
µ-SATPLAN: Multi-agent planning as satisfiability
Knowledge-Based Systems
Reasoning and planning with cooperative actions for multiagents using answer set programming
DALT'09 Proceedings of the 7th international conference on Declarative Agent Languages and Technologies
Obtaining an optimal MAS configuration for agent-enhanced mining using constraint optimization
ADMI'11 Proceedings of the 7th international conference on Agents and Data Mining Interaction
Generating project plans for data center transformations
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Domain-independent multi-agent plan repair
Journal of Network and Computer Applications
An agent-based distributed collaborative decision support system
Intelligent Decision Technologies - Various forms of intelligence
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The multiagent plan coordination problem arises whenever multiple agents plan to achieve their individual goals independently, but might mutually benefit by coordinating their plans to avoid working at cross purposes or duplicating effort. Although variations of this problem have been studied in the literature, there is as yet no agreement over a general characterization of the problem. In this paper, we describe a general framework that extends the partial-order, causal-link plan representation to the multiagent case, and that treats coordination as a form of iterative repair of plan flaws that cross agents. We show, analytically and empirically, that this algorithmic formulation can scale to the multiagent case better than can a straightforward application of the most advanced single-agent plan coordination technique, highlighting fundamental differences between single-agent and multiagent planning.