Reinforcement learning of non-Markov decision processes
Artificial Intelligence - Special volume on computational research on interaction and agency, part 2
Conceptual Spaces: The Geometry of Thought
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Planning and Resource Allocation for Hard Real-time, Fault-Tolerant Plan Execution
Autonomous Agents and Multi-Agent Systems
Emotional advantage for adaptability and autonomy
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Emotion based adaptive reasoning for resource bounded agents
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Planning with deadlines in stochastic domains
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Towards background emotion modeling for embodied virtual agents
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Modeling the Dynamic Nonlinear Nature of Emotional Phenomena
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
Abstraction Level Regulation of Cognitive Processing Through Emotion-Based Attention Mechanisms
Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint
A signal based approach to artificial agent modeling
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
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The integration between emotion and cognition can provide an important support for adaptation and decision-making under resource-bounded conditions, typical of real-world domains. The ability to adjust cognitive activity and to take advantage of emotion-modulated memories are two main aspects resulting from that integration. In this paper we address those issues under the framework of the agent flow model, describing the formation of emotional memories and the regulation of their use through attention focusing. Experimental results from simulated rescue scenarios show how the proposed approach enables effective decision making and fast adaptation rates in completely unknown environments.