© 2020

Image Schemas and Concept Invention

Cognitive, Logical, and Linguistic Investigations


  • Image schemas were introduced as mental generalisations from embodied experiences capturing notions such as containment, support and source path goal movement

  • These spatiotemporal relationships can be found in human cognition as information skeletons for analogical reasoning, as a grounding factor for abstract language, and as conceptual building blocks for concepts and events

  • The book will be of value to researchers in artificial intelligence, cognitive science, psychology, and creativity


Part of the Cognitive Technologies book series (COGTECH)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Introduction

  3. Formal Framework for Image Schemas

    1. Front Matter
      Pages 53-53
  4. Putting Formalised Image Schemas to Use

  5. Image Schema Experiments

  6. Back Matter
    Pages 181-182

About this book


In this book the author's theoretical framework builds on linguistic and psychological research, arguing that similar image-schematic notions should be grouped together into interconnected family hierarchies, with complexity increasing with regard to the addition of spatial and conceptual primitives. She introduces an image schema logic as a language to model image schemas, and she shows how the semantic content of image schemas can be used to improve computational concept invention. 

The book will be of value to researchers in artificial intelligence, cognitive science, psychology, and creativity.


Psychology Artificial Intelligence Image Schemas Conceptual Building Blocks Creativity Cognitive Science

Authors and affiliations

  1. 1.Conceptual and Cognitive Modelling Research Group (CORE)Free University of Bozen-BolzanoBolzanoItaly

Bibliographic information

  • Book Title Image Schemas and Concept Invention
  • Book Subtitle Cognitive, Logical, and Linguistic Investigations
  • Authors Maria M. Hedblom
  • Series Title Cognitive Technologies
  • Series Abbreviated Title Cognitive Technologies
  • DOI
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Hardcover ISBN 978-3-030-47328-0
  • Softcover ISBN 978-3-030-47331-0
  • eBook ISBN 978-3-030-47329-7
  • Series ISSN 1611-2482
  • Series E-ISSN 2197-6635
  • Edition Number 1
  • Number of Pages XV, 182
  • Number of Illustrations 14 b/w illustrations, 24 illustrations in colour
  • Topics Artificial Intelligence
    Creativity and Arts Education
    Psychology Research
  • Buy this book on publisher's site
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