Emotion Based Control of Reasoning and Decision Making
In real-world domains, where uncertainty and dynamism are pervasive and time and resources are limited, reasoning and decision-making processes raise important problems related both to adaptive ability and to the computational complexity of the underlying cognitive mechanisms. In this context the integration between emotion based mechanisms and cognitive mechanisms can play a key role to support the development of intelligent agents able of effective behavior under real-time resource-bounded conditions. In this paper we address those issues under the framework of the agent flow model, an agent model where emotion and cognition are modeled as two integrated aspects of intelligent behavior and where affective- emotional mechanisms are used to support adaptability and to focus the reasoning and deliberation mechanisms to cope with their computational complexity.
KeywordsCognitive Activity High Level Cognitive Process Emotional Memory Emotional Disposition Intelligent Behavior
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