18 books like Artificial intelligence

What to read after Artificial intelligence — books similar to it, matched on shared themes.

Inferred functions of performance and learning Siegfried Engelmann · 2003 · 536p · ≈ 17h · Moderate This ambitious, highly theoretical book provides a capstone for the careers of two very distinguished scholars. It begins with an analysis of what functions and systems must exist for any organism or machine to perform an unlearned act, that is, with an analysis of what must be "wired into" the organism or machine. Once the basics of unlearned responding have been established, the authors then… Shares: Computers - General Information, Computer Books: General, Intelligence artificielle, Computers

Artificial intelligence and literary creativity Selmer Bringsjord · 1999 · 262p · ≈ 8h · Moderate "Computers can play superlative chess, diagnose disease, guide spacecraft, power robots that can deliver mail and (soon) clean houses, etcetera. But can computers originate anything? Can computers be genuinely creative? This is the toughest question those sanguine about Al face. This book reports on a multi-year attempt to engineer a blueprint (BRUTUS) for a computer system that can hold its own… Shares: Computers - General Information, Computer Books: General, Intelligence artificielle, Computers

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: Problem solving, Intelligence artificielle, Computers

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

Perceptrons Marvin Minsky · 1969 · ★ 4.1 · 283p · ≈ 9h · Moderate In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers. A binary classifier is a function that can decide whether or not an input, represented by a vector of numbers, belongs to some specific class. It is a type of linear classifier, i.e. a classification algorithm that makes its predictions based on a linear predictor function combining a set of… Shares: Computer Books: General, Computers, 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

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

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: Intelligence artificielle, Computers, 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: Intelligence artificielle, Computers, Artificial Intelligence

Think Like a Programmer V. Anton Spraul · 2012 · ★ 4.3 · 256p · ≈ 8h · Moderate "The real challenge of programming isn't learning a language's syntax--it's learning to creatively solve problems so you can build something great. In this one-of-a-kind text, author V. Anton Spraul breaks down the ways that programmers solve problems and teaches you what other introductory books often ignore: how to Think Like a Programmer. Each chapter tackles a single programming concept, like… Shares: Problem solving, Computers

The Alignment Problem Brian Christian · 2020 · ★ 4.3 · 356p · ≈ 11h · Moderate "A jaw-dropping exploration of everything that goes wrong when we build AI systems-and the movement to fix them. Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us-and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms… Shares: Intelligence artificielle, Computers, Artificial Intelligence

Knowledge spaces Dietrich Albert · 1999 · 240p · ≈ 8h · Moderate Based on the formal concept of "knowledge structures" originally proposed by Jean-Claude Falmagne and Jean-Paul Doignon, this book contains descriptions of methodological developments and experimental investigations as well as applications for various knowledge domains. The authors address three main topics: theoretical issues and extensions of Doignon & Falmagne's theory of knowledge… Shares: Intelligence artificielle, Computers, Artificial Intelligence

Artificial knowing Alison Adam · 1997 · 216p · ≈ 7h · Moderate "In Artificial Knowing, Alison Adam boldly challenges the Artificial Intelligence (AI) view of the world which prescribes the masculine as the norm and excludes other knowers and knowledge, specifically women. Adam fills a large gap in science and technology studies by showing us how gender is inscribed in AI-based computer systems." "By locating feminist theory in relation to science and… Shares: Knowledge representation, Artificial Intelligence

Superintelligence Nick Bostrom · 2014 · ★ 4.0 · 352p · ≈ 11h · Moderate The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. Other animals have stronger muscles or sharper claws, but we have cleverer brains. If machine brains one day come to surpass human brains in general intelligence, then this new superintelligence could become very powerful. As the fate of… Shares: Intelligence artificielle, Computers, Artificial Intelligence

The Master Algorithm Pedro Domingos · 2015 · ★ 3.7 · 352p · ≈ 11h · Moderate In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future… Shares: Knowledge representation, 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

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: Intelligence artificielle, Artificial Intelligence

Data Science Rui Mao · 2017 · 683p · ≈ 22h · Moderate This two volume set (CCIS 1058 and 1059) constitutes the refereed proceedings of the 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019 held in Guilin, China, in September 2019. The 104 revised full papers presented in these two volumes were carefully reviewed and selected from 395 submissions. The papers cover a wide range of topics related… Shares: Computers, Artificial Intelligence

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