T&Aelig;MS: a framework for environment centered analysis and design of coordination mechanisms
Foundations of distributed artificial intelligence
Adopt: asynchronous distributed constraint optimization with quality guarantees
Artificial Intelligence - Special issue: Distributed constraint satisfaction
ADOPT-ing: unifying asynchronous distributed optimization with asynchronous backtracking
Autonomous Agents and Multi-Agent Systems
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The coordinated management of inter-dependent plans or schedules belonging to different agents is a complex, real-world problem arising in diverse domains such as disaster rescue, small-team reconnaissance, and security patrolling. The problem is inherently a distributed one; no single agent has a global view and must make local scheduling decisions through collaboration with other agents to ensure a high quality global schedule. A key step towards addressing this problem is to devise appropriate distributed representations. The Coordinators Task Analysis Environmental Modeling and Simulation (C_tæms) language is a representation that was jointly designed by several multi-agent systems researchers explicitly for multi-agent task scheduling problems [1,2,3,4]. C_tæms is an extremely challenging class of scheduling problem which is able to model the distributed aspects of the problem.