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Mental models and their dynamics, adaptation, and control a self-modeling network modeling approach /
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 interna...
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| Corporate Author: | |
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
2022.
Cham, Switzerland : 2022. |
| Series: | Studies in systems, decision and control ;
v. 394. |
| Physical Description: |
1 online resource. |
| Subjects: | |
| Online Access: | SpringerLink - Click here for access |
MARC
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| 245 | 0 | 0 | |a Mental models and their dynamics, adaptation, and control : |b a self-modeling network modeling approach / |c Jan Treur, Laila Van Ments, editors. |
| 260 | |a Cham, Switzerland : |b Springer, |c 2022. | ||
| 264 | 1 | |a Cham, Switzerland : |b Springer, |c 2022. | |
| 300 | |a 1 online resource. | ||
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| 490 | 1 | |a Studies in systems, decision and control, |x 2198-4190 ; |v volume 394. | |
| 505 | 0 | |a 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. | |
| 500 | |a Includes index. | ||
| 520 | |a 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. | ||
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed February 4, 2022). | |
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