MOTIVATED COGNITION: NEURAL AND COMPUTATIONAL MECHANISMS OF CURIOSITY, ATTENTION, AND INTRINSIC MOTIVATION
MOTIVATED COGNITION: NEURAL AND COMPUTATIONAL MECHANISMS OF CURIOSITY, ATTENTION, AND INTRINSIC MOTIVATION
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DOI：
10.1108/s0749-742320160000019017
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发表时间：
2017-01-01
期刊：
影响因子：
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通讯作者：
Oudeyer, Pierre-Yves
中科院分区：
文献类型：
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作者：
Gottlieb, Jacqueline;Lopes, Manuel;Oudeyer, Pierre-Yves
基于心理学、神经科学和机器学习的综合研究结果，我们提出了一种统一的理论，将好奇心作为动机认知的一种形式。我们认为，好奇心由一系列复杂的机制组成，从基于新颖性、显著性或惊喜的简单启发式，到基于奖励和不确定性减少的驱动力，最后，到自我导向的元认知过程。我们提出，这些机制已经进化到允许智能体发现世界上有用的规律——引导它们走向最大学习进展的小生境，远离随机和高度熟悉的任务。我们强调，好奇心与认知和动机有机地结合在一起，由认知过程产生，反过来又激励他们。我们希望这一观点能够促进对好奇心的系统研究，将其作为发育和成年期认知和决策的一个组成部分。
Based on a synthesis of findings from psychology, neuroscience, and machine learning, we propose a unified theory of curiosity as a form of motivated cognition. Curiosity, we propose, is comprised of a family of mechanisms that range in complexity from simple heuristics based on novelty, salience, or surprise, to drives based on reward and uncertainty reduction and finally, to self-directed metacognitive processes. These mechanisms, we propose, have evolved to allow agents to discover useful regularities in the world - steering them toward niches of maximal learning progress and away from both random and highly familiar tasks. We emphasize that curiosity arises organically in conjunction with cognition and motivation, being generated by cognitive processes and in turn, motivating them. We hope that this view will spur the systematic study of curiosity as an integral aspect of cognition and decision making during development and adulthood.