HTN planning: complexity and expressivity
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Coordinating Mutually Exclusive Resources using GPGP
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
Modeling high assurance agent-based Earthquake Management System using formal techniques
The Journal of Supercomputing
Reaching a common agreement discourse universe on multi-agent planning
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
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
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Most research about multi-agent coordination is concentrated at a high level, e.g., developing coordination interaction protocols to be imposed on agents. There has been less concern about how the internal task structures of individual agents affect these higher-level coordination behaviors. In particular, agent planning and scheduling behaviors are inextricably linked to coordination behaviors. This paper proposes some extensions and restrictions to the expressiveness of traditional plan and schedule representations that allow the formal definition of the multi-agent coordination problem. We recast our GPGP coordination approach using this formalism, and present a set of general rules relating task environment characteristics and this implemented set of GPGP coordination mechanisms.