Timeline for Philosophical work that focuses on "pattern" and "change"?
Current License: CC BY-SA 3.0
20 events
| when toggle format | what | by | license | comment | |
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| Aug 12, 2016 at 11:55 | vote | accept | tom_q | ||
| Aug 8, 2016 at 13:58 | comment | added | Joseph Weissman♦ | @tom_q you may be surprised! It does a lot of very careful work with mathematical and physical functions, especially the calculus -- but yeah, if you're expecting Shannon/Flusser sort of info theory maybe it's not that... | |
| Aug 8, 2016 at 9:49 | comment | added | tom_q | @Joseph Weissman: The title sounds really good, but since it's Deleuze (as opposed to e.g. Whitehead) I'm a bit worried that it will have been developed in complete autarky from the sciences. For instance the wikipedia page mentions Borges, but never Shannon. Thanks for the suggestion, and let me know if you think my reluctance if unjustified! | |
| Aug 8, 2016 at 9:36 | comment | added | tom_q | @D J Sims: Calculus is, in my naive view perhaps, a set of techniques for measuring change. Heuristic reasoning is not really machine learning, although the question of why heuristics work is related to my question. I suppose your "otherwise" should be an "if so": AI books of course cover (or require) calculus and, sometimes, heuristic reasoning. But I have never seen one that has any philosophical depth whatsoever. | |
| Aug 5, 2016 at 1:08 | answer | added | Vector Shift | timeline score: 4 | |
| Aug 4, 2016 at 20:22 | comment | added | D J Sims | Aren't you really asking about calculus and heuristic reasoning? Otherwise your question is pretty generic and any AI book should cover this. | |
| Aug 4, 2016 at 19:21 | comment | added | Joseph Weissman♦ | Just based on the headline, you might find Difference and Repetition interesting! | |
| Aug 4, 2016 at 11:01 | comment | added | tom_q | @Swami Vishwananda: I'm currently self-studying Strogatz's Nonlinear dynamics and Chaos. Is it worth reading a history of science book on the topic (given my particular interests)? GEB:EGB is on my to-read list. Thanks all so far! | |
| Aug 4, 2016 at 10:59 | comment | added | tom_q | @Dennis: this sounds very interesting! My knowledge of the philosophy of mathematics is very limited, but this should be next after Benacerraf and Putnam's "selected readings". | |
| Aug 4, 2016 at 10:54 | comment | added | tom_q | @commando: I'll take a look, but I'm a bit wary of discussions on consciousness, which are rarely related to practical AI progress. The wikipedia page you linked to presents the structure and compositionality of experience as axioms. But this is precisely something that I'd like to see discussed in depth, not assumed. | |
| Aug 4, 2016 at 4:46 | comment | added | Dennis | See Michael Resnik's "Mathematics as a Science of Patterns" (either the book or the two articles if you have access). In general, structuralism in the philosophy of mathematics might be of interest to you. Stewart Shapiro would be another big figure there. | |
| Aug 3, 2016 at 15:55 | history | tweeted | twitter.com/StackPhilosophy/status/760866649591406592 | ||
| Aug 3, 2016 at 14:56 | comment | added | Swami Vishwananda | Two suggestions; 1) Have you read chaos theory? If not, a good starting book is "Chaos: Making a New Science" by James Gleick and 2) "Godel, Escher, Bach: An Eternal Golden Braid" by Douglas Hofstadter. Hofstadter has other later books which tie into AI, but the first is a classic. | |
| Aug 3, 2016 at 14:53 | comment | added | commando | Great question! I'm on the move right now, but you might want to look at integrated information theory. It's getting big in philosophy of mind (I think Tononi has a forthcoming in Mind or Phil Review?). | |
| Aug 3, 2016 at 12:52 | history | edited | tom_q | CC BY-SA 3.0 |
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| Aug 3, 2016 at 11:49 | history | edited | tom_q | CC BY-SA 3.0 |
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| Aug 3, 2016 at 11:49 | history | edited | user2953 |
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| Aug 3, 2016 at 11:44 | history | edited | tom_q | CC BY-SA 3.0 |
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| Aug 3, 2016 at 11:44 | review | First posts | |||
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| Aug 3, 2016 at 11:34 | history | asked | tom_q | CC BY-SA 3.0 |