AI25047 Dewey Decimal Classification Codes (DDC) for AI V01 251125

 These Strange New Minds is an AI + cognitive science book, so its most appropriate Dewey Decimal Classification (DDC) number would be:

006.3 — Artificial Intelligence

Why this number fits:

• 006.3 is the standard DDC area for artificial intelligence, machine learning, and neural networks.

• Books discussing the nature of intelligence, AI systems, human–AI comparison, and future of cognition commonly sit here.

Possible, more specific alternatives (also valid depending on cataloger):

• 006.31 — Machine learning

• 006.32 — Neural networks

• 006.33 — Pattern recognition / AI applications

• 153 — Cognitive psychology (if a library emphasizes the human cognition angle rather than AI)

• 004.115 — Computational intelligence (less common)

Most likely library choice:

➡️ 006.3 (Artificial Intelligence)

If you’d like, I can also provide the Library of Congress Classification (LCC) for this book.

Here is the most appropriate Library of Congress Classification (LCC) for These Strange New Minds.

Library of Congress Classification (LCC)

The book would almost certainly fall under:

Q335 – Artificial Intelligence

Why:

• Q = Science

• Q3xx = Cybernetics, information theory, and computer science foundations

• Q335 = Artificial intelligence (general works)

Because Summerfield’s book blends AI with cognitive science but is fundamentally about AI systems, how they learn, and how they compare to human minds, Q335 is the most fitting.

Possible Alternative (less likely but valid)

QP360–QP390 – Neuroscience / Cognitive Neuroscience

If a cataloger emphasizes the human cognition side (Summerfield is a neuroscientist), it could be placed under brain and cognition sections. Still, most libraries classify comparable titles under AI.

Most likely LCC assignment:

➡️ Q335 .S86 2024

(Example cutter number, not official)

If you want, I can also give you:

• a full catalog record-style entry,

• a citation in any format (APA, MLA, Chicago),

• or a metadata sheet for study or library purposes.

Here is a clean, library-style metadata sheet for These Strange New Minds by Christopher Summerfield.

(All fields written in a standard catalog/metadata format.)

Metadata Sheet — These Strange New Minds

Title: These Strange New Minds: How AI Rivals and Rewrites Human Intelligence

Author: Christopher Summerfield

Author Affiliation: Cognitive neuroscientist, University of Oxford

Publication Year: 2024

Publisher: Allen Lane / Penguin (UK)

Format: Print book (hardcover), ebook, audiobook

ISBN:

• Hardcover: 9780241637975

• Ebook: 9780241637982

Classification

Dewey Decimal Classification (DDC):

• 006.3 – Artificial Intelligence (primary)

• Alternative options: 006.31 (Machine Learning), 153 (Cognitive Psychology)

Library of Congress Classification (LCC):

• Q335 – Artificial Intelligence

• Example full call number: Q335 .S86 2024 (constructed)

Subjects / Keywords

• Artificial intelligence

• Machine learning

• Cognitive psychology

• Neuroscience

• Human intelligence

• Human–AI comparison

• Decision-making

• Bias and cognition

• Predictive algorithms

• Future of AI

• Ethics of AI

• Computational models of mind

Abstract (Metadata Style)

A multidisciplinary exploration of how artificial intelligence learns, reasons, and behaves compared to human minds. Summerfield draws on neuroscience, cognitive psychology, and machine learning to explain the origins of human intelligence and how AI systems reflect, extend, and challenge human cognitive processes. The book examines creativity, bias, decision-making, social impact, and the emergence of new forms of artificial cognition.

Audience

• General readers with interest in AI

• Students of psychology, cognitive science, data science, computer science

• Policymakers, technologists, educators

• Readers of popular science

Author Notes

Christopher Summerfield is a leading neuroscientist known for research on decision-making, neural computation, and the intersection of human cognition and AI. His work bridges psychology and machine learning.

Related Works

• Thinking, Fast and Slow — Daniel Kahneman

• The Alignment Problem — Brian Christian

• Artificial Intelligence: A Guide for Thinking Humans — Melanie Mitchell

• Life 3.0 — Max Tegmark

• The Book of Minds — Philip Ball

If you want, I can also provide:

📌 A study guide

📌 A thematic summary

📌 A teaching resource pack

📌 A reader’s companion with discussion questions

Just let me know!