Mental Models and Their Dynamics, Adaptation, and Control - A Self-Modeling Network Modeling Approach

Mental Models and Their Dynamics, Adaptation, and Control - A Self-Modeling Network Modeling Approach
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心理模型及其动态、适应和控制——一种自我建模网络建模方法

DOI:
10.1007/978-3-030-85821-6
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发表时间:
2022
期刊:
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影响因子:
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通讯作者:
Jan Treur
Jan Treur
中科院分区:
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文献类型:
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作者:
Rajesh Bhalwankar;Jan Treur

文献摘要

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在人工智能和认知科学领域,将人类行为和心理过程以一种可以被计算设备使用的形式形式化是圣杯之一。人类的大脑是如此的动态和复杂,以至于很难理解计算机可以模仿它是如何工作的,这一想法一直是许多幻想、书籍和电影的基础。这本书旨在为实现这一圣杯之旅做出贡献,并缩小人类行为与计算设备之间的差距,特别关注涉及心理模型的心理过程。
Formalising human behaviour and mental processes in a formalised format that can be used by computational devices is one of the holy grails in the fields of artificial intelligence and cognitive science. The human brain is so dynamic and complex that it is hard to comprehend that a computer can mimic how it works, an idea that has been the basis for many fantasies, books and movies. This book is meant as a contribution to the journey to this holy grail and to making the gap between human behaviour and computational devices a bit smaller, with a focus in particular on mental processes involving mental models.