Overview
- Provides a generic, unified approach to Network-Oriented Modeling
- Addresses the dynamics and adaptive aspects of causal relations by means of adaptive temporal-causal networks
- Makes it easy to incorporate theories and findings from Cognitive, Affective and Social Neuroscience into modeling
- Includes supplementary material: sn.pub/extras
Part of the book series: Understanding Complex Systems (UCS)
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Table of contents (18 chapters)
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Front Matter
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Network-Oriented Modeling: Introduction
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Front Matter
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Emotions All the Way
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Front Matter
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Analysis Methods for Temporal-Causal Network Models
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Front Matter
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Philosophical, Societal and Educational Perspectives
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Front Matter
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Keywords
- 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
- data-driven science, modeling and theory building
- complexity
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.
Reviews
“The book is a collection of relatively independent chapters, each with its own bibliography. … The volume will be of great interest to modeling practitioners and cognitive scientists, who will find great stimulation in the explanations it offers of various cognitive dynamics.” (H. Van Dyke Parunak,Computing Reviews, July, 2018)
Authors and Affiliations
About the author
Prof. Jan Treur, Faculty of Sciences, the Vrije Universiteit (VU) in Amsterdam, is the head of the Behavioural Informatics Group. This multidisciplinary group investigates methods and techniques for modelling and analysis of complex human and social processes. Such models are applied to design human- or socially aware applications that support humans or groups of humans in their daily functioning, for example, in the form of smartphone apps or specialized social media. Application areas include support for a healthy lifestyle, active lifestyle, ambient-assisted living, crowd behavior, virtual patients, chronic diseases, and mental disorders such as depression, post-traumatic stress disorders, or autism spectrum disorders.
Among Prof. Treur’s research interests are Complex Adaptive Systems, Computational Modelling, Human-Aware and Socially Aware Computing, Ambient Intelligence, Social Networks, Socio-Technical Systems, Cognitive, Affective and Social Neuroscience, Biological or Biologically Inspired Modelling, Social and Organization Modelling, and Philosophy of Mind.
He has taken part in various National and EU Projects, was and is involved in many conferences as Program Committee Member, Chair or Keynote Speaker, and has more than 600 papers to his name. He has designed successful multidisciplinary curricula for Bachelor and Master programs in Lifestyle Informatics and Socially Aware Computing at his university. He has been and is teaching on modelling topics within these Bachelor and Master curricula and up to now has supervised well over 30 PhD theses within these areas.
For further information we refer to the Author’s website.
Bibliographic Information
Book Title: Network-Oriented Modeling
Book Subtitle: Addressing Complexity of Cognitive, Affective and Social Interactions
Authors: Jan Treur
Series Title: Understanding Complex Systems
DOI: https://doi.org/10.1007/978-3-319-45213-5
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-45211-1Published: 18 October 2016
Softcover ISBN: 978-3-319-83240-1Published: 22 April 2018
eBook ISBN: 978-3-319-45213-5Published: 03 October 2016
Series ISSN: 1860-0832
Series E-ISSN: 1860-0840
Edition Number: 1
Number of Pages: XVI, 499
Number of Illustrations: 82 b/w illustrations, 52 illustrations in colour
Topics: Data-driven Science, Modeling and Theory Building, Mathematical Models of Cognitive Processes and Neural Networks, Applications of Graph Theory and Complex Networks, Complexity, Computer Appl. in Social and Behavioral Sciences