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Mental Models and Their Dynamics, Adaptation, and Control

A Self-Modeling Network Modeling Approach

  • Book
  • © 2022

Overview

Editors:
  1. Jan Treur

    1. Social AI group, Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

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    You can also search for this editor in PubMed   Google Scholar

  2. Laila Van Ments

    1. AutoLeadStar, Jerusalem, Israel

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    You can also search for this editor in PubMed   Google Scholar

  • Shows Mental Models in Individual Processes and Social Processes
  • Includes wide details about the Self-Modeling Network Modeling
  • Written by experts in the field

Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 394)

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Table of contents (21 chapters)

  1. Front Matter

    Pages i-xi
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  3. Self-Modelling Network Models for Mental Models in Individual Processes

    1. Front Matter

      Pages 57-57
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    2. On Becoming a Good Driver: Modeling the Learning of a Mental Model

      • Raj Bhalwankar, Jan Treur
      Pages 59-79

    3. Controlling Your Mental Models: Using Metacognition to Control Use and Adaptation for Multiple Mental Models

      • Jan Treur
      Pages 81-97

    4. Disturbed by Flashbacks: A Controlled Adaptive Network Model Addressing Mental Models for Flashbacks from PTSD

      • Laila van Ments, Jan Treur
      Pages 99-116

    5. ‘What if I Would Have Done Otherwise…’: A Controlled Adaptive Network Model for Mental Models in Counterfactual Thinking

      • Raj Bhalwankar, Jan Treur
      Pages 117-138

    6. Do You Get Me: Controlled Adaptive Mental Models for Analysis and Support Processes

      • Jan Treur
      Pages 139-173

    7. Who Am I Really: An Adaptive Network Model Addressing Mental Models for Self-referencing, Self-awareness and Self-interpretation

      • Jan Treur, Gerrit Glas
      Pages 175-206

  4. Self-Modelling Network Models for Mental Models in Social Processes

    1. Front Matter

      Pages 207-207
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    2. In Control of Your Instructor: Modeling Learner-Controlled Mental Model Learning

      • Raj Bhalwankar, Jan Treur
      Pages 209-253

    3. Work Together or Fight Together: Modeling Adaptive Cooperative and Competitive Metaphors as Mental Models for Joint Decision Making

      • Laila van Ments, Jan Treur
      Pages 255-284

    4. How Empathic is Your God: An Adaptive Network Model for Formation and Use of a Mental God-Model and Its Effect on Human Empathy

      • Laila van Ments, Peter H.M.P. Roelofsma, Jan Treur
      Pages 285-319

    5. You Feel so Familiar, You Feel so Different: A Controlled Adaptive Network Model for Attachment Patterns as Adaptive Mental Models

      • Audrey Hermans, Selma Muhammad, Jan Treur
      Pages 321-346

    6. Taking Control of Your Bonding: Controlled Social Network Adaptation Using Mental Models

      • Jan Treur
      Pages 347-369

    7. Are We on the Same Page: A Controlled Adaptive Network Model for Shared Mental Models in Hospital Teamwork

      • Laila van Ments, Jan Treur, Jan Klein, Peter Roelofsma
      Pages 371-406

  5. Relating Mental Models to Brain, Body and World

    1. Front Matter

      Pages 407-407
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    2. How Do Mental Models Actually Exist in the Brain: On Context-Dependent Neural Correlates of Mental Models

      • Jan Treur
      Pages 409-426
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Keywords

About this book

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.

Editors and Affiliations

  • Social AI group, Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Jan Treur

  • AutoLeadStar, Jerusalem, Israel

    Laila Van Ments

Bibliographic Information

  • Book Title: Mental Models and Their Dynamics, Adaptation, and Control

  • Book Subtitle: A Self-Modeling Network Modeling Approach

  • Editors: Jan Treur, Laila Van Ments

  • Series Title: Studies in Systems, Decision and Control

  • DOI: https://doi.org/10.1007/978-3-030-85821-6

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Hardcover ISBN: 978-3-030-85820-9Published: 27 January 2022

  • Softcover ISBN: 978-3-030-85823-0Published: 28 January 2023

  • eBook ISBN: 978-3-030-85821-6Published: 26 January 2022

  • Series ISSN: 2198-4182

  • Series E-ISSN: 2198-4190

  • Edition Number: 1

  • Number of Pages: XI, 616

  • Number of Illustrations: 12 b/w illustrations, 228 illustrations in colour

  • Topics: Control and Systems Theory, Computational Intelligence

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