18 books like Artificial inteligence and natural man

What to read after Artificial inteligence and natural man — books similar to it, matched on shared themes.

How we think John Dewey · 1909 · ★ 3.9 · 148p · ≈ 4h · Challenging The legendary American philosopher, educator, and psychologist John Dewey describes a program for thinking well – that is, using the capacity for thought to enrich one’s life and improve one’s understanding. Shares: Pensée, Thinking, Thought and thinking

Artificial Intelligence Margaret A. Boden · 1996 · 284p · ≈ 9h · Moderate The applications of Artificial Intelligence lie all around us; in our homes, schools and offices, in our cinemas, in art galleries and - not least - on the Internet. The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand the processes of memory, learning, and language from a fresh angle. As a concept, Artificial… Shares: Künstliche Intelligenz, Intelligence artificielle, Artificial Intelligence

Computerdenken Roger Penrose · 1989 · ★ 3.7 · 480p · ≈ 16h · Moderate Advances the theory that despite burgeoning computer technologies, there will remain facets of human thinking that cannot be emulated by a machine. Shares: Pensée, Thinking, Thought and thinking, Artificial Intelligence

The Power of Focused Thinking Edward de Bono · 1981 · ★ 4.0 · 207p · ≈ 6h · Moderate Ben shu fen wei qi ge bu fen, Fen wei bai se si kao mao, Hong se si kao mao, Hei se si kao mao, Huang se si kao mao, Lü se si kao mao he lan se si kao mao. Shares: Pensée, Thinking, Thought and thinking

Gödel, Escher, Bach Douglas R. Hofstadter · 1979 · ★ 4.3 · 777p · ≈ 25h · Moderate Winner of the Pulitzer Prize A metaphorical fugue on minds and machines in the spirit of Lewis Carroll Douglas Hofstadter's book is concerned directly with the nature of "maps" or links between formal systems. However, according to Hofstadter, the formal system that underlies all mental activity transcends the system that supports it. If life can grow out of the formal chemical substrate of the… Shares: Künstliche Intelligenz, Artificial Intelligence

AI Superpowers Kai-Fu Lee · 2018 · ★ 3.9 · 256p · ≈ 8h · Moderate The United States has long been the leader in Artificial Intelligence. But Dr. Kai-Fu Lee--one of the world's most respected experts on AI--reveals that China has caught up to the US at an astonishingly rapid pace. As Sino-American competition in AI heats up, Lee envisions China and the US forming a powerful duopoly in AI. He outlines the upheaval of traditional jobs, how the suddenly unemployed… Shares: Künstliche Intelligenz, Intelligence artificielle, Artificial Intelligence

What computers still can't do Hubert L. Dreyfus · 1972 · ★ 4.2 · 354p · ≈ 11h · Moderate When it was first published in 1972, Hubert Dreyfus's manifesto on the inherent inability of disembodied machines to mimic higher mental functions caused an uproar in the artificial intelligence community. The world has changed since then. Today it is clear that "good old-fashioned AI," based on the idea of using symbolic representations to produce general intelligence, is in decline (although… Shares: Künstliche Intelligenz, Intelligence artificielle, Artificial Intelligence

Conceptual coordination William J. Clancey · 1999 · 424p · ≈ 14h · Moderate This book bridges the gap between models of human behavior that are based on cognitive task analysis and those based on neural networks. The author argues that these approaches are incomplete and not properly related to each other. His synthesis reconciles the very different conceptualizations of human memory assumed by these two approaches by assuming that 'what the brain remembers' is not a… Shares: Thinking, Thought and thinking, Artificial Intelligence

Introduction to machine learning and bioinformatics Sushmita Mitra · 2008 · 384p · ≈ 12h · Moderate Lucidly Integrates Current ActivitiesFocusing on both fundamentals and recent advances, Introduction to Machine Learning and Bioinformatics presents an informative and accessible account of the ways in which these two increasingly intertwined areas relate to each other. Examines Connections between Machine Learning & Bio Shares: Intelligence artificielle, Artificial Intelligence

Artificial intelligence for games Ian Millington · 2006 · 872p · ≈ 29h · Moderate What is artificial intelligence? How is artificial intelligence used in game development?Game development lives in its own technical world. It has its own idioms, skills, and challenges. That’s one of the reasons games are so much fun to work on. Each game has its own rules, its own aesthetic, and its own trade-offs, and the hardware it will run on keeps changing. AI for Games is designed to help… Shares: Künstliche Intelligenz, Intelligence artificielle, Artificial Intelligence

Thinking, fast and slow Daniel Kahneman · 2011 · ★ 4.2 · 672p · ≈ 22h · Moderate In his mega bestseller, Thinking, Fast and Slow, Daniel Kahneman, world-famous psychologist and winner of the Nobel Prize in Economics, takes us on a groundbreaking tour of the mind and explains the two systems that drive the way we think. System 1 is fast, intuitive, and emotional; System 2 is slower, more deliberative, and more logical. The impact of overconfidence on corporate strategies, the… Shares: Thinking, Thought and thinking

Introduction to artificial intelligence Wolfgang Ertel · 2008 · 334p · ≈ 11h · Moderate This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully… Shares: Intelligence artificielle, Artificial Intelligence

Intelligent systems in process engineering George Stephanopoulos · 1995 · 625p · ≈ 20h · Moderate Volumes 21 and 22 of Advances in Chemical Engineering contain ten prototypical paradigms which integrate ideas and methodologies from artificial intelligence with those from operations research, estimation andcontrol theory, and statistics. Each paradigm has been constructed around an engineering problem, e.g. product design, process design, process operations monitoring, planning, scheduling,… Shares: Künstliche Intelligenz, Artificial Intelligence

Artificial Intelligence Stuart J. Russell · 1994 · ★ 4.2 · 1207p · ≈ 40h · Challenging A comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Shares: Künstliche Intelligenz, Intelligence artificielle

The mechanical mind Tim Crane · 2003 · 224p · ≈ 7h · Moderate How can the human mind represent the external world? What is thought, and can it be studied scientifically? Should we think of the mind as a kind of machine? Is the mind a computer? Can a computer think? Tim Crane sets out to answer these questions and more in a lively and straightforward way, presuming no prior knowledge of philosophy or related disciplines. Since its first publication, The… Shares: Thought and thinking, Artificial Intelligence

The AI Con Emily M. Bender · 2025 · ★ 3.7 · 288p · ≈ 9h · Moderate A smart, incisive look at the technologies sold as artificial intelligence, the drawbacks and pitfalls of technology sold under this banner, and why it’s crucial to recognize the many ways in which AI hype covers for a small set of power-hungry actors at work and in the world. Is artificial intelligence going to take over the world? Have big tech scientists created an artificial lifeform that… Shares: Intelligence artificielle, Artificial Intelligence

Satisficing Games and Decision Making Wynn C. Stirling · 2003 · 267p · ≈ 8h · Moderate Shares: Intelligence artificielle, Artificial Intelligence

Critiques of knowing Lynette Hunter · 1999 · 256p · ≈ 8h · Moderate Critiques of Knowing explores what happens to science and computing when we think of them as texts. Lynette Hunter elegantly weaves together vast areas of thought: rhetoric, politics, AI, computing, feminism, science studies, aesthetics and epistemology. Critiques of Knowing shows us that what we need is a radical shake-up of approaches to the arts if the critiques of science and computing are to… Shares: Künstliche Intelligenz, Artificial Intelligence

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