Mind and Machine
Published on 30. August 2012
Book
Paperback/Softback
XVI, 216 pages
978-0-230-30294-5 (ISBN)
Description
Walmsley offers a succinct introduction to major philosophical issues in artificial intelligence for advanced students of philosophy of mind, cognitive science and psychology. Whilst covering essential topics, it also provides the student with the chance to engage with cutting edge debates.
Reviews / Votes
'This little gem of an introduction to the philosophy of artificial intelligence also serves brilliantly as an accessible and accurate survey of recent trends in cognitive science.' - Lawrence Shapiro, University of Wisconsin-Madison, USA
'Walmsley's book is wonderfully engaging, compellingly argued, and admirably well informed. With succinct clarity, he covers all the essential approaches to AI. The cluster of questions he addresses illuminates the nature both of machines and of the thinking machines we humans are. His little book will make a terrific introduction to the Philosophy of Mind, whether as a course text or for any independent reader looking for a guide into the subject.' - Ronald de Sousa, University of Toronto, Canada
More details
Series
Edition
2012 edition
Language
English
Place of publication
London
United Kingdom
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Illustrations
XVI, 216 p.
Dimensions
Height: 211 mm
Width: 137 mm
Thickness: 13 mm
Weight
272 gr
ISBN-13
978-0-230-30294-5 (9780230302945)
DOI
10.1057/9781137283429
Schweitzer Classification
Person
JOEL WALMSLEY is a Lecturer in Philosophy at University College Cork in Ireland. His research interests are in philosophy of cognitive science (especially concerning Artificial Intelligence and Dynamical Systems Theory), philosophy of science (especially concerning explanation) and philosophy of mind (especially concerning emergence and the 'extended mind' hypothesis). His previous works include
Mind: Historical and Philosophical Introduction to the Major Theories
(Hackett: 2006. Co-authored with A. Kukla).
Content
Acknowledgements
Series Editor's Preface Introduction Historical and Theoretical Background Classical Cognitive Science and 'Good Old Fashioned AI' Gödel, The Turing Test and the Chinese Room Connectionism Criticisms and Consequences of the Connectionist Approach The Dynamical Approach The Future: Mind and Machine Merged Conclusion Suggestions for Further Reading Works Cited Index