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

Sloman, Aaron (2019) The Computer Revolution in Philosophy: Philosophy, Science and Models of Mind. Author. (Unpublished)

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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.

Type of Work:Book
Department:School of Computer Science
Keywords:Philosophy, Science, Artificial Intelligence, Evolution, Mathematics, Computational models, conceptual analysis, forms of representation, natural and artificial vision.
Subjects:B Philosophy. Psychology. Religion > B Philosophy (General)
B Philosophy. Psychology. Religion > BF Psychology
Q Science > Q Science (General)
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Copyright Status:No copyright. Creative Commons licence
ID Code:3227

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