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e-Book Android Epistemology download

e-Book Android Epistemology download

by Kenneth M. Ford,Clark Glymour,Patrick Hayes

ISBN: 0262061848
ISBN13: 978-0262061841
Language: English
Publisher: AAAI Press; 1 edition (August 4, 1995)
Pages: 350
Category: Computer Science
Subategory: Technologies

ePub size: 1812 kb
Fb2 size: 1102 kb
DJVU size: 1778 kb
Rating: 4.4
Votes: 345
Other Formats: lrf rtf txt mobi

Kenneth M. Ford is Founder and Director of the Florida Institute for Human and Machine Cognition (IHMC) in Pensacola.

ISBN-13: 978-0262061841. Kenneth M.

Android Epistemology. Android epistemology is the exploration of the space of possible machines and their capacities for knowledge, beliefs, attitudes, desires, and for action in accord with their mental states. Distributed for AAAI Press.

Android Epistemology book. Were they reborn into a modern university, Plato and Aristotle and.

oceedings{Ford1995AndroidE, title {Android epistemology}, author {Kenneth M. Ford and Clark Glymour and Patrick J. Hayes}, year {1995} }. Ford, Clark Glymour, Patrick J. Hayes. Topics from this paper.

Thinking about Android Epistemology. Ford, Clark N. Glymour, Patrick J. The emergence of artificial intelligence in mid-twentieth century provided a way to study the powers and limits of systems that learn, to theorize and to make theories sufficiently concrete so that their properties and consequences can be demonstrated.

Similar books and articles. Machine Stereopsis: A Feedforward Network for Fast Stereo Vision with Movable Fusion Plane. Paul M. Churchland - 1995 - In Android Epistemology.

Carnegie Mellon University. Similar books and articles.

Android EpistemologyKenneth M. Ford, Clark Glymour, and Patrick J. Hayes (eds) MIT Press, Cambridge, Massachusetts, 1995, 316 pages including index (£19. Departmant of Computer Science, Warwick Universtiy, Coventry CV4 7Al (UK). Published online by Cambridge University Press: 09 March 2009. Export citation Request permission.

AI is epistemology, android epistemology. But abstract aims can be pursued apace with concrete applications, and we submit that so far, and in the foreseeable future, most of those applications have been pretty good, largely beneficial for society

AI is epistemology, android epistemology. But abstract aims can be pursued apace with concrete applications, and we submit that so far, and in the foreseeable future, most of those applications have been pretty good, largely beneficial for society. Applied AI does often give deference to the human condition, to human goals and limitations but not necessarily to human mechanisms.

Authors: Kenneth M Ford Clark Glymour Patrick J Hayes

Authors: Kenneth M Ford Clark Glymour Patrick J Hayes. In this updated version of the 1995 MIT Press book Android Epistemology, computer scientists and philosophers-among them Herbert Simon, Daniel Dennett, and Paul Churchland-offer a gentle, unsystematic introduction to alternative systems of cognition. They look at android epistemology from both theoretical and practical points of view, offering not only speculative proposals but applications-ideas for using computational systems to expand human capacities.

Android epistemology is the exploration of the space of possible machines and their capacities for knowledge, beliefs, attitudes, desires, and for action in accord with their mental states.

Android epistemology is the exploration of the space of possible machines and their capacities for knowledge, beliefs, attitudes, desires, and for action in accord with their mental states.

Comments:
fetish
This edited volume contains articles from the Workshop on Human & Machine Cognition in 1991. I got this book while preparing an upper-division interdisciplinary course on Models of Mind. I liked the overall slant of the collection better than many of the other volumes I considered (e.g., Mind Design II, Haugeland; Philosophy of AI, Boden (one of the contributors to this volume)). Although the workshop happened in 1991, the papers are ostensibly more closely dated to the book's publication (1995). My complaint about the book (which applies to all the other books I've evaluated) is that it lacks the focus of laying out the philosophical issues related to mind and then considering computational models with repsect to those issues. That is not to say the individual papers do not address issues of Philosophy of Mind and proceed appropriately from there -- simply as an edited collection, it lacked the focus that would make it a good text for the seminar course I'm designing. There's much here to stimulate thinking and discussion.

Endieyab
I thought this book was awful. It offers very little original thought, and is full of wrongheaded and muddled thinking. I persisted through a fair bit of silliness, but I ultimately gave up after a chapter allegedly written by a mathematicatian got some basic combinatorics all wrong.
It probably deserves 1 star, but I've given it 2 out of respect for the fact that they've attempted to tackle such a difficult subject in the first place.

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