The Computer Revolution in Philosophy: Philosophy, Science, and Models of Mind

The book presented deep important connections between Artificial Intelligence and Philosophy, based partly on an argument that both philosophy and science are primarily concerned with identifying and explaining possibilities contrary to a common view that science is primarily concerned with laws. The book attempted to show in principle how the construction, testing and debugging of complex computational models, explaining possibilities in a new way, can illuminate a collection of deep philosophical problems, e.g. about the nature of mind, the nature of representation, the nature of mathematical discovery. However it did not claim that this could be done easily or that the problems would be solved soon. 40 years later many of them have still not been solved, including explaining how biological brains made possible the deep mathematical discoveries made millennia ago, long before the development of modern logic, often wrongly assumed to provide foundations for all of mathematics. Later work on these ideas includes the author's Meta-Morphogenesis project, inspired by Alan Turing's work: http://www.cs.bham.ac.uk/research/projects/cogaff/misc/meta-morphogenesis.html Originally published in 1978 by Harvester Press, this went out of print. An electronic version was created from a scanned in copy and then extensively edited with corrections, addtional text, and notes, available online as html or pdf, intermittently updated. This pdf version was created on 2019/07/09.

[1]  W. Köhler The Mentality of Apes. , 2018, Nature.

[2]  J. Costi,et al.  The University of Edinburgh. , 1932, Nature.

[3]  F. Bartlett,et al.  Remembering: A Study in Experimental and Social Psychology , 1932 .

[4]  F. Heider The psychology of interpersonal relations , 1958 .

[5]  H. Gelernter,et al.  Realization of a geometry theorem proving machine , 1995, IFIP Congress.

[6]  J. Burnheim Individuals: An Essay in Descriptive Metaphysics , 1959 .

[7]  J. Dunne,et al.  University of Sussex , 2018, The Grants Register 2020.

[8]  G. Talland Plans and the Structure of Behavior , 1961 .

[9]  T. Kuhn,et al.  The Structure of Scientific Revolutions. , 1964 .

[10]  Lawrence G. Roberts,et al.  Machine Perception of Three-Dimensional Solids , 1963, Outstanding Dissertations in the Computer Sciences.

[11]  K. Popper,et al.  Conjectures and refutations;: The growth of scientific knowledge , 1972 .

[12]  G. Ryle,et al.  The concept of mind. , 2004, The International journal of psycho-analysis.

[13]  Allen Newell,et al.  Some issues of representation in a general problem solver , 1967, AFIPS '67 (Spring).

[14]  N. Sutherland Outlines of a theory of visual pattern recognition in animals and man , 1968, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[15]  Ian Mueller,et al.  Euclid's Elements and the Axiomatic Method , 1969, British Journal for the Philosophy of Science.

[16]  Margaret A. Boden,et al.  Intentionality and Physical Systems , 1970, Philosophy of Science.

[17]  N. Goodman,et al.  Languages of Art: An Approach to a Theory of Symbols , 1971 .

[18]  Kenneth Mark Colby,et al.  Artificial Paranoia , 1975, Artif. Intell..

[19]  John Austin,et al.  A plea for excuses , 1971 .

[20]  Nils J. Nilsson,et al.  Problem-solving methods in artificial intelligence , 1971, McGraw-Hill computer science series.

[21]  Roger C. Schank Finding the Conceptual Content and Intention in an Utterance in Natural Language Conversation , 1971, IJCAI.

[22]  JOHN F. Young Machine Intelligence , 1971, Nature.

[23]  R. C. Grimsdale Automatic Interpretation and Classification of Images, A. Grasselli (Ed.). Academic Press, New York (1969), 436 pp. $14.00. , 1972 .

[24]  HOW TO TELL YOUR FRIENDS FROM MACHINES , 1972 .

[25]  Allen Newell,et al.  Human Problem Solving. , 1973 .

[26]  G. Johansson Visual perception of biological motion and a model for its analysis , 1973 .

[27]  Yoshiaki Shirai,et al.  A Context Sensitive Line Finder for Recognition of Polyhedra , 1973, Artif. Intell..

[28]  Alan Bundy Doing Arithmetic with Diagrams , 1973, IJCAI.

[29]  Zenon W. Pylyshyn,et al.  What the Mind’s Eye Tells the Mind’s Brain: A Critique of Mental Imagery , 1973 .

[30]  Alan K. Mackworth Interpreting Pictures of Polyhedral Scenes , 1973, IJCAI.

[31]  Gerald Jay Sussman,et al.  The virtuous nature of bugs , 1974 .

[32]  Stephen Michael Kosslyn,et al.  Information representation in visual images , 1975, Cognitive Psychology.

[33]  D. Bobrow DIMENSIONS OF REPRESENTATION , 1975 .

[34]  William A. Woods,et al.  What's in a Link: Foundations for Semantic Networks , 1975 .

[35]  Eleanor H. Warnock,et al.  Reasoning from Incomplete Knowledge. , 1975 .

[36]  Joseph D. Becker The Phrasal Lexicon , 1975, TINLAP.

[37]  David L. Waltz,et al.  Understanding Line drawings of Scenes with Shadows , 1975 .

[38]  John Seely Brown,et al.  MULTIPLE REPRESENTATIONS OF KNOWLEDGE FOR TUTORIAL REASONING , 1975 .

[39]  Ira P. Goldstein Summary of MYCROFT: A System for Understanding Simple Picture Programs , 1975, Artif. Intell..

[40]  Douglas B. Lenat,et al.  AM, an artificial intelligence approach to discovery in mathematics as heuristic search , 1976 .

[41]  I. Lakatos Falsification and the Methodology of Scientific Research Programmes , 1976 .

[42]  J. Lawrence Paul Seeing Puppets quickly , 1976, AISB.

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

[44]  H. C. Longuet-Higgins,et al.  Perception of melodies , 1976, Nature.

[45]  M. B. Clowes,et al.  Finding Picture Edges Through Collinearity of Feature Points , 1973, IEEE Transactions on Computers.

[46]  Aaron Sloman,et al.  Giving a Computer Gestalt Experiences , 1976, AISB.

[47]  Brian V. Funt,et al.  Whisper: a computer implementation using analogues in reasoning. , 1976 .

[48]  John M. Nicholas,et al.  Images, Perception, and Knowledge , 1977 .

[49]  D. Bobrow,et al.  Representation and Understanding, Studies in Cognitive Sciences, Academic Press 1975 , 1977 .

[50]  F. Malloy Brown Doing Arithmetic Without Diagrams , 1977, Artif. Intell..

[51]  Roger C. Schank,et al.  Scripts, plans, goals and understanding: an inquiry into human knowledge structures , 1978 .

[52]  Tim Shallice,et al.  The Involvement of the Frontal Lobes in Cognitive Estimation , 1978, Cortex.

[53]  L. Selfe,et al.  Nadia: A Case of Extraordinary Drawing Ability in an Autistic Child , 1978 .

[54]  Дрейфус Хьюберт,et al.  Чего не могут вычислительные машины: Критика искусственного разума. (What computers cant do: A critique of artificial reason) , 1978 .

[55]  S. Draper The Penrose Triangle and a Family of Related Figures , 1978, Perception.

[56]  John McCarthy,et al.  SOME PHILOSOPHICAL PROBLEMS FROM THE STANDPOINT OF ARTI CIAL INTELLIGENCE , 1987 .