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A Neuroscientific View on the Role of Emotions in Behaving Cognitive Agents

机译:情感在认知主体行为中作用的神经科学观

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While classical theories systematically opposed emotion and cognition, suggesting that emotions perturbed the normal functioning of the rational thought, recent progress in neuroscience highlights on the contrary that emotional processes are at the core of cognitive processes, directing attention to emotionally-relevant stimuli, favoring the memorization of external events, valuating the association between an action and its consequences, biasing decision making by allowing to compare the motivational value of different goals and, more generally, guiding behavior towards fulfilling the needs of the organism. This article first proposes an overview of the brain areas involved in the emotional modulation of behavior and suggests a functional architecture allowing to perform efficient decision making. It then reviews a series of biologically-inspired computational models of emotion dealing with behavioral tasks like classical conditioning and decision making, which highlight the computational mechanisms involved in emotional behavior. It underlines the importance of embodied cognition in artificial intelligence, as emotional processing is at the core of the cognitive computations deciding which behavior is more appropriate for the agent.
机译:古典理论系统地反对情感和认知,暗示情感会扰乱理性思维的正常功能,而神经科学的最新进展恰恰相反,强调情感过程是认知过程的核心,将注意力转移到与情感相关的刺激上,从而促进了情感的发展。记忆外部事件,评估行动及其后果之间的关联,通过允许比较不同目标的动机价值以及更普遍地指导行为满足机体需求来偏向决策。本文首先提出了行为情绪调节所涉及的大脑区域的概述,并提出了一种可以执行有效决策的功能架构。然后,它回顾了一系列生物学启发的情感计算模型,这些模型处理了诸如经典条件和决策之类的行为任务,突出了涉及情感行为的计算机制。它强调了在人工智能中体现认知的重要性,因为情感处理是决定哪种行为更适合主体的认知计算的核心。

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