Network-Oriented Modeling

Addressing Complexity of Cognitive, Affective and Social Interactions

  • Jan Treur

Part of the Understanding Complex Systems book series (UCS)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Network-Oriented Modeling: Introduction

  3. Emotions All the Way

    1. Front Matter
      Pages 103-103
    2. Jan Treur
      Pages 105-124
    3. Jan Treur
      Pages 125-140
    4. Jan Treur
      Pages 141-155
  4. Yourself and the Others

  5. Analysis Methods for Temporal-Causal Network Models

    1. Front Matter
      Pages 321-321
    2. Jan Treur
      Pages 323-348
    3. Jan Treur
      Pages 349-391
    4. Jan Treur
      Pages 393-418
  6. Philosophical, Societal and Educational Perspectives

    1. Front Matter
      Pages 419-419
    2. Jan Treur
      Pages 421-462
    3. Jan Treur
      Pages 463-471
    4. Jan Treur
      Pages 473-484
  7. Network-Oriented Modeling: Discussion

    1. Front Matter
      Pages 485-485
    2. Jan Treur
      Pages 487-493
  8. Back Matter
    Pages 495-499

About this book


This book presents a new approach that can be applied to complex, integrated individual and social human processes. It provides an alternative means of addressing complexity, better suited for its purpose than and effectively complementing traditional strategies involving isolation and separation assumptions.

Network-oriented modeling allows high-level cognitive, affective and social models in the form of (cyclic) graphs to be constructed, which can be automatically transformed into executable simulation models. The modeling format used makes it easy to take into account theories and findings about complex cognitive and social processes, which often involve dynamics based on interrelating cycles. Accordingly, it makes it possible to address complex phenomena such as the integration of emotions within cognitive processes of all kinds, of internal simulations of the mental processes of others, and of social phenomena such as shared understandings and collective actions. A variety of sample models – including those for ownership of actions, fear and dreaming, the integration of emotions in joint decision-making based on empathic understanding, and evolving social networks – illustrate the potential of the approach. Dedicated software is available to support building models in a conceptual or graphical manner, transforming them into an executable format and performing simulation experiments. The majority of the material presented has been used and positively evaluated by undergraduate and graduate students and researchers in the cognitive, social and AI domains.

Given its detailed coverage, the book is ideally suited as an introduction for graduate and undergraduate students in many different multidisciplinary fields involving cognitive, affective, social, biological, and neuroscience domains.


Approximating joint-decision processes Arftifical Intelligence modelling Cognitive science modelling Cognitive and affective neuroscience Social neuroscience models Social psychology simulation software Dynamic networks Simulation theory of cognition Continuous-time networks Neurocognitive models Rationality of decision models

Authors and affiliations

  • Jan Treur
    • 1
  1. 1.Department of Computer Science, Behavioural Informatics GroupVU University AmsterdamAmsterdamThe Netherlands

Bibliographic information