Intention is choice with commitment
Artificial Intelligence
Collaborative plans for complex group action
Artificial Intelligence
The Design of Intelligent Agents: A Layered Approach
The Design of Intelligent Agents: A Layered Approach
AT Humboldt - Development, Practice and Theory
RoboCup-97: Robot Soccer World Cup I
Intention Reconciliation by Collaborative Agents
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Roles in Collaborative Activity
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
HAC: A Unified View of Reactive and Deliberative Activity
Balancing Reactivity and Social Deliberation in Multi-Agent Systems, From RoboCup to Real-World Applications (selected papers from the ECAI 2000 Workshop and additional contributions)
Reactivity and Deliberation: A Survey on Multi-Robot Systems
Balancing Reactivity and Social Deliberation in Multi-Agent Systems, From RoboCup to Real-World Applications (selected papers from the ECAI 2000 Workshop and additional contributions)
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The aim of this paper is to present a framework for developing intelligent agents that act in dynamic and unpredictable environments in a robust and efficient way. To achieve this objective, agents must be able to balance between reactive and deliberative planning. This paper emphasizes on the seamless integration of these planning techniques and on the smooth transition between reactive and deliberative planning in terms of agents' mental attitudes and agents reasoning capabilities. The framework is thoroughly explained and the behaviour of an agent that acts in the tile-world chessboard is examined.