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Mental models and their dynamics, adaptation, and control : a self-modeling network modeling approach / Jan Treur, Laila Van Ments, editors.

9783030858216 (electronic bk.)
3030858219 (electronic bk.)
3030858200
9783030858209

Cham, Switzerland : Springer, 2022.

English

1 online resource

10.1007/978-3-030-85821-6 doi

BF314

153

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.

Includes index.

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text file PDF

Online resource; title from PDF title page (SpringerLink, viewed February 4, 2022).

Studies in systems, decision and control ; v. 394. 2198-4190

Print version: 9783030858209

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