Artificial Psychology: Learning from the Unexpected Capabilities of Large Language Models

Author:   Clayton Lewis
Publisher:   Springer International Publishing AG
ISBN:  

9783031766480


Pages:   262
Publication Date:   20 February 2026
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Artificial Psychology: Learning from the Unexpected Capabilities of Large Language Models


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Author:   Clayton Lewis
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
ISBN:  

9783031766480


ISBN 10:   3031766482
Pages:   262
Publication Date:   20 February 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- The Prediction Room: A Rough Outline of a Model of Cognition.- Part I: Problem Solving and Reasoning.- Einstellung.- Analogical Reasoning.- More Reasoning: Inference and Prediction.- Transfer Skills, Production Rules, and Prediction.- Qualitative Physics.- Situated Cognition.- Part II: Memory.- Recall from Long Term Memory.- Interference with Real World Knowledge.- Speed-Accuracy Tradeoffs.- Is Knowledge Represented in Propositions?.- Associationism.- Procedural and Declarative Knowledge.- Part III: Language.- Language.- Inner Speech.- Babies and Other Primates.- Gestures.- Part IV: Action.- Action and Identity.- Predictive Modeling and Active Inference.- Part V: Being Human and Being Artificial.- Embodiment and Grounding.- Concepts?.- Emotions.- Intuition.- Belief-Desire Psychology.- Part VI: Mechanisms and Interpretation.- In the Engine Room: Transformer Models.- In the Engine Room--The Brain.- Virtuality, Reading in, and Emergence.- Coda.

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Author Information

Clayton Lewis is Ermeritus Professor of Computer Science and Fellow of the Institute of Cognitive Science at the University of Colorado Boulder, and Fellow of the Hanse-Wissenschaftskolleg, Delmenhorst, Germany. He earned an A.B. in mathematics from Princeton University, an interdisciplinary M.S. in mathematics and linguistics from MIT, and a Ph.D. in experimental psychology from the University of Michigan. His work has contributed to user interface evaluatiion, programming language design, cognitive assistive technology, educational technology, and cognitive theory in causal attribution and learning. He has been honored by appointment to the ACM SIGCHI Academy, by the SIGCHI Social Impact Award, and by the ACM SIGACCESS Outstanding Contribution Award.

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