Representational Change and the Use of Metaphors in Problem Solving

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A01=Benjamin Angerer
analogy
Associative Memory Process
Author_Benjamin Angerer
Category=JMA
Category=JMR
cognitive flexibility
Conceptual Metaphor Theory
Current Problem State
Deictic Phrases
DORA
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Fold Representations
Folding Procedures
Follow Task Instructions
gesture analysis
Iconic Gestures
Insight Problem Solving
Insight Problems
Joint Gesture
mental model construction
mental paper folding
metaphor
Metaphoric Source Domains
Moment S1
open-ended problem tasks
philosophy of cognition
Point S1
Problem solving
Problem Spaces
Procedural Phrases
Psi Theory
qualitative case study
RCT
representational change
representational change in problem solving
Structure Mapping Theory
theory development
Visuospatial Imagery
Visuospatial Representation
Working Memory Item

Product details

  • ISBN 9781032321363
  • Weight: 570g
  • Dimensions: 156 x 234mm
  • Publication Date: 07 Jul 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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This book addresses a longstanding impasse in problem solving research: if structured mental representations of problems are required for solving them, how do those arise and, if needed, change? The book argues that established theories underestimate this question due to methodological requirements.

Proposing to momentarily suspend these requirements, including the focus on well-defined puzzle tasks, the book suggests to alternatively conduct exploratory studies with more complex, open-ended problems. It presents a qualitative case study of participants working for several days on a mental paper folding task designed to challenge them to construct their own representations. Charting their use of gestures, metaphors, and ever more complex descriptions, it carefully traces the chronology of their thinking. Combining in-depth empirical investigation with theory-building, the book proposes a framework of problem solving that goes beyond established models, accommodating associative, motivational, and affective factors.

This book will be of great interest to researchers, academics, and postgraduate students in the fields of cognitive science, psychology, philosophy of mind and cognition, and cognitive artificial intelligence.

Benjamin Angerer is Research Associate at the Institutes of Philosophy, Computer Science, and Centre for Digital Education, University of Osnabrück, Germany.

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