Computational models of intrinsic motivation for curiosity and creativity.

IF 13.7 1区 心理学 Q1 BEHAVIORAL SCIENCES Behavioral and Brain Sciences Pub Date : 2024-05-21 DOI:10.1017/S0140525X23003424
Sophia Becker, Alireza Modirshanechi, Wulfram Gerstner
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引用次数: 0

Abstract

We link Ivancovsky et al.'s novelty-seeking model (NSM) to computational models of intrinsically motivated behavior and learning. We argue that dissociating different forms of curiosity, creativity, and memory based on the involvement of distinct intrinsic motivations (e.g., surprise and novelty) is essential to empirically test the conceptual claims of the NSM.

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好奇心和创造力内在动机的计算模型。
我们将伊万科夫斯基等人的新奇寻求模型(NSM)与内在动机行为和学习的计算模型联系起来。我们认为,根据不同内在动机(如惊喜和新奇)的参与程度来区分不同形式的好奇心、创造力和记忆,对于从经验上检验 NSM 的概念主张至关重要。
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来源期刊
Behavioral and Brain Sciences
Behavioral and Brain Sciences 医学-行为科学
CiteScore
1.40
自引率
1.70%
发文量
353
期刊介绍: Behavioral and Brain Sciences (BBS) is a highly respected journal that employs an innovative approach called Open Peer Commentary. This format allows for the publication of noteworthy and contentious research from various fields including psychology, neuroscience, behavioral biology, and cognitive science. Each article is accompanied by 20-40 commentaries from experts across these disciplines, as well as a response from the author themselves. This unique setup creates a captivating forum for the exchange of ideas, critical analysis, and the integration of research within the behavioral and brain sciences, spanning topics from molecular neurobiology and artificial intelligence to the philosophy of the mind.
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