£56.00

New to our records — first sighting 27 days ago. We'll learn its rhythm.

27 days of data · current price £56

Wiley Common Sense in Large Language Models

View at Amazon

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 6 days · 6 data points (no recent data)

Historical
Generating forecast…
£56.00 £53.20 £54.32 £55.44 £56.56 £57.68 £58.80 22 September 2026 23 September 2026 24 September 2026 25 September 2026 27 September 2026
View at Amazon ↗

Price data last checked 22 day(s) ago - will refresh soon

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↑ Price chart
when this has been cheap or pricey
↑ Forecast
where the price is heading next
↓ Statistics
all-time high & low, recent range
↑ Price alert
name your number, we'll email you

Price Distribution

Price distribution over 6 days • 1 price levels

Days at Price
6 days 0 2 3 5 6 £56 Days at Price

Price Analysis

Most common price: £56 (6 days, 100.0%)

Price range: £56 - £56

Price levels: 1 different prices over 6 days

Description

This book provides the first comprehensive scientific examination of the structural divide between massive knowledge acquisition and the fluid "common sense" reasoning required for human-level intelligence in machines. Written for researchers, artificial intelligence practitioners, and graduate students, this volume offers a roadmap for building capable intelligence by considering the strengths and limitations of large language models through the important lens of machine common sense–a grand challenge since the founding days of AI in the 1950s. It serves as an essential reference for advanced seminars seeking to bridge the conceptual gaps between fields like cognitive science, the history of computing, and modern-day AI. It also suggests ideas and frameworks for developing the next generation of reasoning-capable machines. While modern large language models (LLMs) like ChatGPT and Gemini appear deceptively capable in dialogue, they still occasionally fail at the intuitive physical and social tasks that define human common sense. This text synthesizes decades of research–from the symbolic logic of the Cyc project many decades ago to modern neuro-symbolic hybrids–to provide a conceptual grounding for both LLMs' failures and successes in achieving major milestones in machine common sense. A central focus of the work is the growing crisis in evaluating machine common sense. As LLMs increasingly "solve" benchmarks through surface-level pattern matching and data contamination, traditional performance metrics have become dangerously misleading proxies for intelligence. This text offers a rigorous critique of current testing paradigms, exposing how issues like human annotation noise and statistical artifacts can create a false sense of progress that masks systemic brittleness. It then advocates for a new science of machine common sense that prioritizes rigorous, theory-driven reasoning over raw accuracy scores.

Product Specifications

Brand
Wiley
Format
paperback
Domain
Amazon UK
Release Date
30 September 2026
Listed Since
05 May 2026

Barcode

No barcode data available

Similar Products You Might Like

Artificial Knowledge of Language: A Linguist's Perspective on Its Nature, Origins and Use
84% match

Artificial Knowledge of Language: A Linguist's Perspective on Its Nature, Origins and Use

£56.00 29 Aug 2026
Artificial Intelligence and Large Language Models: An Introduction to the Technological Future
84% match

Artificial Intelligence and Large Language Models: An Introduction to the Technological Future

Chapman and Hall/CRC

£134.97 08 Aug 2026
Knowledge Graphs and Large Language Models: Current Approaches, Challenges, and Future Directions (Intelligent Data-Centric Systems)
83% match

Knowledge Graphs and Large Language Models: Current Approaches, Challenges, and Future Directions (Intelligent Data-Centric Systems)

Elsevier

£141.99 04 Aug 2026
Why Machines Will Never Rule the World: Artificial Intelligence without Fear
82% match

Why Machines Will Never Rule the World: Artificial Intelligence without Fear

Routledge

£37.99 31 Aug 2026
How Large Language Models Work
82% match

How Large Language Models Work

Manning

£23.00 07 Aug 2026
Essentials of Generative AI
82% match

Essentials of Generative AI

Springer

£54.99 14 Sep 2026
A COALESCENT MODEL FOR AI-HUMAN INTERACTION: A Comprehensive Framework for Understanding Human Agency in Human-AI Systems (Artificial intelligence)
81% match

A COALESCENT MODEL FOR AI-HUMAN INTERACTION: A Comprehensive Framework for Understanding Human Agency in Human-AI Systems (Artificial intelligence)

£56.92 16 Sep 2026
Large Language Models - The Hard Part: Open Source AI Solutions for Common Pitfalls
81% match

Large Language Models - The Hard Part: Open Source AI Solutions for Common Pitfalls

O'Reilly

£44.10 16 Oct 2026
AI-Powered Communication Research: An Applied Guide
81% match

AI-Powered Communication Research: An Applied Guide

Routledge

£171.99 18 Aug 2026
Reliable Evaluations for LLMs and AI Agents: End-to-End Evaluation Frameworks for LLMs and Autonomous AI Agents
81% match

Reliable Evaluations for LLMs and AI Agents: End-to-End Evaluation Frameworks for LLMs and Autonomous AI Agents

Springer

£54.99 16 Sep 2026
LLMs in Practice: Real World Applications, Challenges and Success Stories
81% match

LLMs in Practice: Real World Applications, Challenges and Success Stories

Elsevier

£135.56 04 Aug 2026
Observability for Large Language Models: Site Reliability and Chaos Engineering for AI at Scale
81% match

Observability for Large Language Models: Site Reliability and Chaos Engineering for AI at Scale

Apress

£39.28 13 Aug 2026
Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
80% match

Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs

Packt Publishing

£53.51 16 Aug 2026
Data Science First: Using Language Models in AI-Enabled Applications
80% match

Data Science First: Using Language Models in AI-Enabled Applications

Wiley

£44.93 12 Aug 2026
汎用人工知能: 現在のモデルを超えて
80% match

汎用人工知能: 現在のモデルを超えて

£80.39 15 Sep 2026
AI Aspects in Reasoning, Languages, and Computation: 889 (Studies in Computational Intelligence, 889)
80% match

AI Aspects in Reasoning, Languages, and Computation: 889 (Studies in Computational Intelligence, 889)

Springer

£100.11 15 Sep 2026
Natural Language Generation
80% match

Natural Language Generation

Springer

£43.75 28 Sep 2026
A Common-Sense Guide to AI Engineering: Build Production-Ready LLM Applications
80% match

A Common-Sense Guide to AI Engineering: Build Production-Ready LLM Applications

Pragmatic Bookshelf

£38.97 04 Aug 2026
Intermediate Python and Large Language Models
80% match

Intermediate Python and Large Language Models

Apress

£34.35 16 Oct 2026
Applications, Challenges, and the Future of ChatGPT (Advances in Computational Intelligence and Robotics)
79% match

Applications, Challenges, and the Future of ChatGPT (Advances in Computational Intelligence and Robotics)

£273.00 19 Aug 2026
La máquina consciente: Comprender la inteligencia artificial y el coeficiente intelectual
79% match

La máquina consciente: Comprender la inteligencia artificial y el coeficiente intelectual

£58.00 14 Sep 2026
The Observer-Centric Universe, Quantum Mechanics and the Path to AGI Alignment
79% match

The Observer-Centric Universe, Quantum Mechanics and the Path to AGI Alignment

MACMILLAN

£114.98 15 Sep 2026
Machines That Think: The New Frontier of AI Technology
79% match

Machines That Think: The New Frontier of AI Technology

LAP Lambert Academic Publishing

£57.00 28 Sep 2026
Systems Thinking for Agentic AI: A Software Architect’s Guide to Building Reliable LLM and Agent Systems
79% match

Systems Thinking for Agentic AI: A Software Architect’s Guide to Building Reliable LLM and Agent Systems

£105.53 29 Aug 2026