Machines Who Think: A Personal Inquiry into the History and Prospects of Artificial Intelligence

Pamela McCorduck first went among the artificial intelligentsia when the field was fresh and new, and asked the scientists engaged in it what they were doing and why. She saw artificial intelligence as the scientific apotheosis of one of the most enduring, glorious, often amusing, and sometimes alarming, traditions of human culture: the endless fascination with artifacts that think. Machines Who Think was translated into many languages, became an international cult classic, and stayed in print for nearly twenty years. Now, Machines Who Think is back, along with an extended addition that brings the field up to date in the last quarter century, including its scientific and its public faces. McCorduck shows how, from a slightly dubious fringe science, artificial intelligence has moved slowly (though not always steadily) to a central place in our everyday lives, and how it will be even more crucial as the World Wide Web moves into its next generation.

[1]  Brian Randell,et al.  The origins of digital computers: Selected papers , 1975 .

[2]  David L. Waltz,et al.  Generating Semantic Descriptions From Drawings of Scenes With Shadows , 1972 .

[3]  Robert F. Simmons,et al.  Computational Linguistics Natural Language Question- Answering Systems: 1969 , 2022 .

[4]  Catherine Turney.  Byron's Daughter: A Biography of Elizabeth Medora Leigh , 1972 .

[5]  Herbert A. Simon,et al.  Artificial Intelligence Systems That Understand , 1977, IJCAI.

[6]  Robert F. Simmons,et al.  Answering English questions by computer: a survey , 1965, CACM.

[7]  S. Papert.  The Artificial Intelligence of Hubert L. Dreyfus; A Budget of Fallacies , 1968 .

[8]  C. Sagan.  The Cosmic Connection , 1973 .

[9]  Bertram Raphael.  The Relevance of Robot Research to Artificial Intelligence , 1970 .

[10]  H A Simon,et al.  Information-processing analysis of perceptual processes in problem solving. , 1969, Psychological review.

[11]  O. G. Selfridge,et al.  Pattern Recognition and Modern Computers , 1899 .

[12]  Seymour Papert,et al.  Some Poetic and Social Criteria for Education Design , 1976 .

[13]  C. Sagan.  The Dragons of Eden: Speculations on the Evolution of Human Intelligence , 1977 .

[14]  Claude E. Shannon,et al.  Computers and Automata , 1953, Proceedings of the IRE.

[15]  L. Rowell Huesmann,et al.  The thinking computer : mind inside matter , 1977 .

[16]  M. Mead,et al.  Cybernetics , 1953, The Yale Journal of Biology and Medicine.

[17]  A. M. Turing,et al.  Computing Machinery and Intelligence , 1950, The Philosophy of Artificial Intelligence.

[18]  J. Neumann.  The General and Logical Theory of Au-tomata , 1963 .

[19]  Arthur P. Molella,et al.  The Social Impact of the Telephone , 1978 .

[20]  Gerald Jay Sussman,et al.  Heuristic techniques in computer-aided circuit analysis , 1975 .

[21]  Nils J. Nilsson,et al.  Artificial Intelligence , 1974, IFIP Congress.

[22]  Seymour Papert,et al.  Teaching Children Thinking , 1972 .

[23]  H. Simon.  An information-processing explanation of some perceptual phenomena. , 1967, British journal of psychology.

[24]  Harry E. Pople,et al.  The Formation of Composite Hypotheses in Diagnostic Problem Solving: An Exercise in Synthetic Reasoning , 1977, IJCAI.

[25]  D. Price.  Little Science, Big Science , 1965 .

[26]  C. Shannon.  A chess-playing machine. , 1950, Scientific American.

[27]  F. W. Winterbotham.  The Ultra Secret , 1974 .

[28]  Herbert A. Simon,et al.  The Sciences of the Artificial , 1970 .

[29]  M. Taube.  Fact or Fancy?. (Book Reviews: Computers and Common Sense. The myth of thinking machines) , 1961 .

[30]  Patrick Henry Winston,et al.  The psychology of computer vision , 1976, Pattern Recognit..

[31]  Benjamin Kuipers,et al.  Computer power and human reason , 1976, SGAR.

[32]  John Tucker,et al.  LA METTRIE'S L'HOMME MACHINE , 1961 .

[33]  L. Thomas.  The Lives of a Cell: Notes of a Biology Watcher , 1974 .