Authors:
- 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 book series: Cognitive Technologies (COGTECH)
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Table of contents (8 chapters)
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Front Matter
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Formal Framework for Image Schemas
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Front Matter
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Putting Formalised Image Schemas to Use
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Front Matter
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Image Schema Experiments
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Front Matter
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Back Matter
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.
Authors and Affiliations
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Conceptual and Cognitive Modelling Research Group (CORE), Free University of Bozen-Bolzano, Bolzano, Italy
Maria M. Hedblom
Bibliographic Information
Book Title: Image Schemas and Concept Invention
Book Subtitle: Cognitive, Logical, and Linguistic Investigations
Authors: Maria M. Hedblom
Series Title: Cognitive Technologies
DOI: https://doi.org/10.1007/978-3-030-47329-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-47328-0Published: 14 June 2020
Softcover ISBN: 978-3-030-47331-0Published: 14 June 2021
eBook ISBN: 978-3-030-47329-7Published: 13 June 2020
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