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Mental models and their dynamics, ad...
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Treur, Jan.
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Mental models and their dynamics, adaptation, and control = a self-modeling network modeling approach /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Mental models and their dynamics, adaptation, and control/ edited by Jan Treur, Laila Van Ments.
其他題名:
a self-modeling network modeling approach /
其他作者:
Treur, Jan.
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
xi, 616 p. :ill., digital ;24 cm.
內容註:
Dynamics, Adaptation and Control for Mental Models: A Cognitive Architecture -- Bringing Networks to the Next Level: Self-Modeling Networks for Adaptivity and Control of Mental Models -- On Becoming a Good Driver: Modeling the Learning of a Mental Model -- Controlling Your Mental Models: Using Metacognition to Control Use and Adaptation for Multiple Mental Models -- Disturbed by Flashbacks: a Controlled Adaptive Network Model Addressing Mental Models for Flashbacks from PTSD.
Contained By:
Springer Nature eBook
標題:
Cognitive maps (Psychology) -
電子資源:
https://doi.org/10.1007/978-3-030-85821-6
ISBN:
9783030858216
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 /[electronic resource] :edited by Jan Treur, Laila Van Ments. - Cham :Springer International Publishing :2022. - xi, 616 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v. 3942198-4190 ;. - Studies in systems, decision and control ;v. 394..
Dynamics, Adaptation and Control for Mental Models: A Cognitive Architecture -- Bringing Networks to the Next Level: Self-Modeling Networks for Adaptivity and Control of Mental Models -- On Becoming a Good Driver: Modeling the Learning of a Mental Model -- Controlling Your Mental Models: Using Metacognition to Control Use and Adaptation for Multiple Mental Models -- Disturbed by Flashbacks: a Controlled Adaptive Network Model Addressing Mental Models for Flashbacks from PTSD.
This book introduces a generic approach to model the use and adaptation of mental models, including the control over this. In their mental processes, humans often make use of internal mental models as a kind of blueprints for processes that can take place in the world or in other persons. By internal mental simulation of such a mental model in their brain, they can predict and be prepared for what can happen in the future. Usually, mental models are adaptive: they can be learned, refined, revised, or forgotten, for example. Although there is a huge literature on mental models in various disciplines, a systematic account of how to model them computationally in a transparent manner is lacking. This approach allows for computational modeling of humans using mental models without a need for any algorithmic or programming skills, allowing for focus on the process of conceptualizing, modeling, and simulating complex, real-world mental processes and behaviors. The book is suitable for and is used as course material for multidisciplinary Master and Ph.D. students.
ISBN: 9783030858216
Standard No.: 10.1007/978-3-030-85821-6doiSubjects--Topical Terms:
525858
Cognitive maps (Psychology)
LC Class. No.: BF314 / .M45 2022
Dewey Class. No.: 153
Mental models and their dynamics, adaptation, and control = a self-modeling network modeling approach /
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This book introduces a generic approach to model the use and adaptation of mental models, including the control over this. In their mental processes, humans often make use of internal mental models as a kind of blueprints for processes that can take place in the world or in other persons. By internal mental simulation of such a mental model in their brain, they can predict and be prepared for what can happen in the future. Usually, mental models are adaptive: they can be learned, refined, revised, or forgotten, for example. Although there is a huge literature on mental models in various disciplines, a systematic account of how to model them computationally in a transparent manner is lacking. This approach allows for computational modeling of humans using mental models without a need for any algorithmic or programming skills, allowing for focus on the process of conceptualizing, modeling, and simulating complex, real-world mental processes and behaviors. The book is suitable for and is used as course material for multidisciplinary Master and Ph.D. students.
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