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John Gach Books, Inc. 10514 Marriottsville Road (Rear Building) PO Box 267 Randallstown, Maryland 21133 |
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Origins of Cyberspace #435.
"An examination of the brain as a mechanism, and an explanation of how it developed the ability to adapt and learn through what Ashby called 'the principle of ultrastability.' As one of the best-known exponents of cybernetics, Ashby favored using feedback mechanisms or learning robots to construct artificial intelligence elecromechanically, rather than programming computers for the purpose" [Hood & Norman Origins citing the 1952 first edition].
Contains a chapter on the next generation of computers.
An early application of computer programs to data analysis in behavioral science.
Contains chapters on serial versus parallel processes, pattern recognition by computer, theories of the perception of form and speech, etc.
An early attempt to build a model of intelligence that could be simulated by a computer, based on a synthesis of the ideas of Hebb, Piaget, and Sokolov. The author was at the University of Pennsylvania's Moore School of Engineering.
See Goldstine The Computer from Pascal to von Neumann p. 315, note 20. "The first treatise on how to build an electronic digital computer. It provided a 'cookbook' describing the available ingredients and how they worked for both digital and analog computers" [Origins of Cyberspace 584]. Originally issued as a report to the Office of Naval Research as an investigation and report on the status of development of computing machine components. Tompkins, vice-president for research at ERA, wrote most of the text, which was then completed by the staff under the direction of J. H. Wakelin and edited for publication as a book by W. W. Stifler, Jr. W. R. Boennng, W. W. Butler, A. A. Cohen, E. C. Olofson, L. R. Steinhardt, and Erwin Tomash all contributed to the book.
See Goldstine The Computer from Pascal to von Neumann p. 315, note 20.
Origins of Cyberspace #599. The first anthology of writings on artificial intelligence, "consisting of twenty papers by experts in the field plus a comprehensive bibliography by Marvin Minsky of published works on AI)" [Norman]. Both authors were at the University of California, Berkeley.
The first book-length work on the subject, based on 16 papers presented at a symposium at the University of Pennsylvania. Contains Skinner's 'The Programming of Verbal Knowledge" and Holland's "A Teaching Machine Program in Psychology."
Papers in English & French. Largely devoted to human-computer interaction with sections on language barriers and language training, group communications, and man-computer communication.
The first textbook on programming and computer applications for behavioral scientists.
Papers by an all star cast including Köhler, Rhine, Feigl, Pepper, Putnam, Ducasse, Bridgman, Price, Wiener, Scriven, Danto, Weiss, Heider, Skinner, Nagel, Hanson. 11 papers on the mind-brain problem; 10 on the brain and the machine; 8 on concept formation.
Johnson was Professor of English at the University of Kansas.
Contains Gaito "Neurochemical Approaches to Learning"; Galambos "Electrical Events in the Brain and Learning"; Pribram "Memory and the Organization of the Brain"; Konorski "New Data and Ideas on Instrumental Conditioning"; Simon "Mathematical Models and Artificial Intelligence"; Hilgard "Classical and Instrumental Conditioning"; Lumsdaine "Programmed Learning and Teaching Machines"; O'Connor "Mental Retardation and Learning"; Guilford "Creativity and Learning"; Koestler "The Act of Creation"; R. F. Thompson "A 'Model Neural System' Approach to the Neural Basis of Behavioral Change."
Chapters on space travel, the computer, teaching machines, intelligence & creativity, and parapsychology.
Michael was Professor of Psychology and Program Director, Center for Research on Utilization of Scientific Knowledge, Institute for Social Research, University of Michigan.
Oettinger was Professor of Linguistics and Gordon McKay Professor of Applied Mathematics at Harvard University.
Revised from the original 1970 Russian edition.
A McLuhan-influenced collection of essays (most previously published in Media and Methods and Radical Software) arguing with high-1960s passion for the freedom to come as we transited from the age of capital to the age of information. Like so many books published towards the end of the "long" 1960s, a nearly impossible to classify mixture of computer science, Eastern religion, mysticism, cultural prognosticating, and McLuhanesque media savvy. Ryan and his many brethren writing at the same time certainly got right the dawning of the information age, but most of the possibilities for individual liberation that they felt so sure were coming with cable TV, videotape (and the world wide web to come that at the time wasn't even a glint in Berners'-Lee's eye) they got profoundly wrong.
Based on the author's 1986 University of Sussex doctoral thesis.
Origins of Cyberspace #893: "McCarthy had planned a book on artificial intelligence, but Shannon, who did most of the work on the volume, preferred a more traditional title. A result of the title change was taht, as one would expect, the papers received concerned automata rather than artificial intelligence." An important book with 13 papers divided into three sections: Finite Automata, Turing Machines, and Synthesis of Automata. Includes the following papers by the scions of emergent computer science and artificial intelligence: von Neumann's "Probabilitstic Logics and the Synthesis of Reliable Organisms from Unreliable Components"; Minsky's "Some Universal Elements for Finite Automata"; Shannon's "A Universal Turing Machine with Two Internal States" and (co-authored with K. de Leeuw, E. F. Moore, & N. Shapiro) "Computability by Probabilistic Machines"; McCarthy's "The Inversion of Functions Defined by Turing Machines"; Ashby's "Design for an Intelligence-Amplifier."
Originally published as Volume 12 No. 3 of the Neurosciences Research Program Bulletin.
Focusing on the brain's ability quickly to access a massive store of accumulated information, Valiant proposes a new computational approach to studying its intricate workings.
Contains David Marr's "Representing and Computing Visual Information" (pp. 17-80).
Origins of Cyberspace 1075: "Includes a comparison of the similarities and differences between brains and machines, and a discussion of how computers might be constructed to incorporate 'brain-like' learning processes."
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