Computational tradeoffs under bounded resources
Artificial Intelligence - special issue on computational tradeoffs under bounded resources
Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
Emotion based adaptive reasoning for resource bounded agents
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Partial pathfinding using map abstraction and refinement
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
Commitment and effectiveness of situated agents
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Learning to control at multiple time scales
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Adaptation and decision-making driven by emotional memories
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
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In domains where time and resources are limited, the ability to balance resource consumption according to the problem characteristics and to the required solution quality is a crucial aspect of intelligent behavior. Growing evidence indicates that emotional phenomena may play an important role in that balance. To support this view we propose an agent model where emotion and reasoning are conceived as two symbiotically integrated aspects of cognitive processing. In this paper we concretize this view by extending emotion-based regulation of cognitive activity to enable an active control of the abstraction level at which cognitive processes operate through emotion-based attention mechanisms, thus allowing a dynamical adjustment of the resources used. Experimental results are presented to illustrate the proposed approach and to evaluate its effectiveness in a scenario where reasoning under time-limited conditions in a dynamic environment is required.