Enaction, Embodiment, Evolutionary Robotics - Simulation Models for a Post-Cognitivist Science of Mind
Enaction, Embodiment, Evolutionary Robotics - Simulation Models for a Post-Cognitivist Science of Mind
复制标题
制定、实施、进化机器人——后认知主义心灵科学的模拟模型
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
M. Rohde
中科院分区：
文献类型：
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作者：
M. Rohde
《Enaction, Implementing, Evolutionary Robotics》一书提出了一种特殊的模拟模型，即进化机器人模拟，如何帮助解决认知科学中的几个问题。书中讨论的例子包括运动控制、神经科学理论、社会偶然性和时间感知。有人认为，即使在研究像人类思维这样复杂的事物时，方法论极简主义也可能是一种优点，而不是缺点。本书最后提出了一种新的极简主义跨学科框架来研究感知，结合了模拟建模、实验方法和主观经验的描述。本书赞同对人类思维的积极建构主义观点，与传统的信息处理观点相反。此外，本书讨论并提出了主动方法，阐明了这种观点的优点，以及它与人工智能和认知科学中计算主义范式的其他提议替代方案的不同之处，这在正在进行的体现转向中至关重要且缺失。本书还介绍了许多主题的新实验结果，并指出了它们之间的联系。最后，本书提出了一种新颖的感知研究框架，该框架以一种前所未见且有前景的方式结合了多种方法，包括计算建模。
The book Enaction, Embodiment, Evolutionary Robotics proposes how a particular kind of simulation model, i.e. Evolutionary Robotics simulations, can help to solve several problems in Cognitive Science. Examples discussed in the book ranges from motor control, neuroscientific theory, social contingency and time perception. It is argued that methodological minimalism can be a merit, not a shortcoming, even when studying something as complex as the human mind. The book concludes by proposing a new minimalist interdisciplinary framework for the study of perception, combining simulation modeling, experimental methods and accounts of subjective experience. This book endorses an enactive and constructivist view on the human mind, in opposition to the traditional information-processing view. Furthermore, the book discusses and presents the enactive approach, clarifies the assets of this view and how it differs from other proposed alternatives to the computationalist paradigm in AI and Cognitive Science, crucial and missing in the ongoing embodied turn. The book also presents new experimental results on a number of topics and points out connections between them. Finally, the book proposes a novel framework for the study of perception that combines a number of methods, including computational modeling, in a previously unseen and promising way.
影响因子：
1.8
作者：
Gepshtein, Sergei;Kubovy, Michael
通讯作者：
Kubovy, Michael
DOI：
10.1152/jn.1999.82.1.255
发表时间：
1999
期刊：
Journal of neurophysiology.
影响因子：
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作者：
Zaal,FT;Daigle,K;Gottlieb,GL;Thelen,E
通讯作者：
Thelen,E