AI & I : an intellectual history of artificial intelligence / Eugene Charniak ; foreword by Michael L. Littman.

Format:

Book

Author/Creator:

Charniak, Eugene, author.

Contributor:

Littman, Michael L., writer of foreword.

Language:

English

Subjects (All):

Artificial intelligence--History.

Artificial intelligence.

Physical Description:

1 online resource (unpaged) : illustrations

Other Title:

AI and I

Artificial intelligence and I

Place of Publication:

Cambridge, Massachusetts : The MIT Press, [2024]

Summary:

"An intellectual history of the first 50 years of AI written by a major figure who has been involved since AI's inception"-- Provided by publisher.

"A concise and illuminating history of the field of artificial intelligence from one of its earliest and most respected pioneers. AI & I is an intellectual history of the field of artificial intelligence from the perspective of one of its first practitioners, Eugene Charniak. Charniak entered the field in 1967, roughly 12 years after AI's founding, and was involved in many of AI's formative milestones. In this book, he traces the trajectory of breakthroughs and disappointments of the discipline up to the current day, clearly and engagingly demystifying this oft revered and misunderstood technology. His argument is controversial but well supported: that classical AI has been almost uniformly unsuccessful and that the modern deep learning approach should be viewed as the foundation for all the exciting developments that are to come. Written for the scientifically educated layperson, this book chronicles the history of the field of AI, starting with its origin in 1956, as a topic for a small academic workshop held at Dartmouth University. From there, the author covers reasoning and knowledge representation, reasoning under uncertainty, chess, computer vision, speech recognition, language acquisition, deep learning, and learning writ large. Ultimately, Charniak takes issue with the controversy of AI--the fear that its invention means the end of jobs, creativity, and potentially even humans as a species--and explains why such concerns are unfounded. Instead, he believes that we should embrace the technology and all its potential to benefit society." -- Provided by publisher

Contents:

Beginnings (1956-1970). Coming to AI

Samuel's checkers-playing program

AI around 1968

Symbols and the logic theorist

Scene recognition

Constraint propagation vs. backtracking

Natural-language processing and SHRDLU

Learning in early AI

Perceptrons

Reasoning and knowledge representation (1970-1985). Reasoning, problem solving, and planning

STRIPS

Ordering actions

Planning heuristics

Expert systems

Knowledge representation

Reasoning and the symbol system hypothesis

Reasoning under uncertainty (1980-1990). Expert systems and uncertainty

Frequentist vs. Bayesian statistics

probability

Discontents with standard probabilities

Alternatives to standard probability

Bayesian networks

Chess (1965-1997). Chess program organization

Bernstein's chess program

Mac Hack and chess 4.0

Deep Blue

Computer vision (1970-2000). Hubel and Wiesel

Convolution

Stereo vision

Visual features

Learning to see

Deformable parts models

Speech recognition (1971-1985). From sound to speech

Speech recognition and the noisy channel model

Language models and statistics

Hidden Markov models

Learning language (1985-2010). Early machine translation

Sentence-aligned corpora

Learning translation dictionaries

Language models redux

Graphic models and grammar

Deep learning (1989-2016). Deep learning and computer vision

Adversarial examples

Graphic processing units and AI hardware

Distributed representation of words

Recurrent neural nets

Autoencoders and generative models

Reinforcement learning and the game of Go (1990-2017). Go

Neural nets for Go

Reinforcement learning

AlphaGo, continued

AlphaGo Zero

Games of chance

Learning writ large (2017-2023)

Attention is all you need

Large language models

The Turing test

Dall-E, from words to pictures

AlphaFold

ChatGPT and GPT-4

AI, present and future (2023).

Notes:

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

ISBN:

0-262-37925-2

9780262379243

9780262379250

OCLC:

1456760715