Intention is choice with commitment
Artificial Intelligence
Controlling cooperative problem solving in industrial multi-agent systems using joint intentions
Artificial Intelligence
The Adaptive Agent Architecture: Achieving Fault-Tolerance Using Persistent Broker Teams
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Journal of Artificial Intelligence Research
Advantages of a leveled commitment contracting protocol
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Representing and executing protocols as joint actions
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
STAPLE: An Agent Programming Language Based on the Joint Intention Theory
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Improving flexibility and robustness in agent interactions: extending prometheus with hermes
Software Engineering for Multi-Agent Systems IV
Hermes: designing goal-oriented agent interactions
AOSE'05 Proceedings of the 6th international conference on Agent-Oriented Software Engineering
Hermes: implementing goal-oriented agent interactions
ProMAS'05 Proceedings of the Third international conference on Programming Multi-Agent Systems
A comparison of two agent interaction design approaches
Multiagent and Grid Systems
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Formal theories of teamwork are typically treated as software design specifications of team behavior. We take a different approach to programming teamwork by directly executing logical specifications of joint commitment and joint intention. This approach leads to a domain-independent framework for programming teamwork where one can modify (or add new) behavior for a team of agents just by modifying (or adding) logical sentences. One may also be able to predict the behavior of an agent team offline using its team intention specification and verify it by running the actual system.