Mental Models and Their Dynamics, Adaptation, and Control

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Mental Models and Their Dynamics, Adaptation, and Control

A Self-Modeling Network Modeling Approach

Automatic control engineering Artificial intelligence

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Collection: Studies in Systems, Decision and Control

Language: English

Published by: Springer

Published on: 26th January 2022

Format: LCP-protected ePub

Size: 137 Mb

ISBN: 9783030858216


Introduction to Mental Models

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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