Formalizing planning knowledge for hierarchical planning
Computational Intelligence
The interdisciplinary study of coordination
ACM Computing Surveys (CSUR)
Collaborative plans for complex group action
Artificial Intelligence
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Coordinating Mutually Exclusive Resources using GPGP
Autonomous Agents and Multi-Agent Systems
DECAF - A Flexible Multi Agent System Architecture
Autonomous Agents and Multi-Agent Systems
Evolution of the GPGP/TÆMS Domain-Independent Coordination Framework
Autonomous Agents and Multi-Agent Systems
Designing an extended set of coordination mechanisms for multi-agent systems
Designing an extended set of coordination mechanisms for multi-agent systems
Flexible decomposition algorithms for weakly coupled Markov decision problems
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
The analysis of coordination in an information system application: emergency medical services
AOIS'04 Proceedings of the 6th international conference on Agent-Oriented Information Systems II
Using hybrid scheduling for the semi-autonomous formation of expert teams
Future Generation Computer Systems
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Previous research about multi-agent coordination has concentrated at a high level, e.g. developing communication protocols for coordination, constructing special purpose agents to dictate the coordination behaviors of an entire system, or associating rules or coordination mechanisms with every agent to achieve cooperative behaviors. Much less research addresses multi-agent coordination at a low level: evaluating the effects of agents' task structures upon agents' coordination behaviors. This paper presents an Extended Hierarchical Task Network (EHTN) to represent precisely those structural features that affect coordination. Using this EHTN formalism, an extended set of Generalized Partial Global Planning (GPGP) coordination mechanisms has been developed for multi-agent coordination. Each coordination mechanism is defined in terms of EHTN rewriting rules and an associated set of pre-defined EHTN behaviors. This set of GPGP coordination mechanisms has been applied to a simulated emergency medical service (EMS) system. The experimental results reveal some of the performance relationships between specific mechanisms and external environmental characteristics.