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Induction, algorithmic lear...
This is the first book to collect essays from philosophers, mathematicians and computer scientists working at the exciting interface of algorithmic learning theory and the epistemology of science and inductive inference. Readable, introductory essays provide engaging surveys of different, complementary, and mutually inspiring approaches to the topic, both from a philosophical and a mathematical viewpoint. Building upon this base, subsequent papers present novel extensions of algorithmic learning theory as well as bold, new applications to traditional issues in epistemology and the philosophy of science. The volume is vital reading for students and researchers seeking a fresh, truth-directed approach to the philosophy of science and induction, epistemology, logic, and statistics
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monografia Rebiun37402025 https://catalogo.rebiun.org/rebiun/record/Rebiun37402025 m o d cr cn||||||||| 081008s2007 ne a ob 001 0 eng d 179514050 234238799 437207944 607255692 647657693 652681810 698457430 746935051 748520170 756427103 815529698 823108582 824137418 994722974 1035663013 1044212019 1056348155 1057968803 1077231527 1087327953 1097333881 1097349047 1100707082 1105589722 1110740631 1144368226 1204008847 1391806025 1413280546 9781402061271 1402061277 9781402061264 1402061269 1281044814 9781281044815 9786611044817 6611044817 10.1007/978-1-4020-6127-1 doi AU@ 000048716066 DEBSZ 430481578 DKDLA 820120-katalog:999907651405765 NZ1 12058252 NZ1 13658102 978-1-4020-6126-4 Springer http://www.springerlink.com GW5XE eng pn GW5XE GW5XE IDEBK N$T YDXCP CEF YNG LGG E7B UBC MUQ OCLCQ ISOBC OCLCO EBLCP OCLCQ A7U OCLCQ OCLCF BEDGE VT2 OCLCQ COO DEBSZ OCLCQ Z5A OTZ OCLCQ UAB ESU STF JG0 OCLCQ U3W OCLCQ WYU ICG YOU CANPU AU@ LEAUB CNTRU OCLCQ WURST OCLCQ ZHM SFB OCLCO INARC OCLCQ UKAHL DCT LUN AUD OCLCO OCLCL OCLCQ COM 051390 bisacsh COM 051440 bisacsh COM 051230 bisacsh HP bicssc 005.1 22 Induction, algorithmic learning theory, and philosophy edited by Miche`le Friend, Norma B. Goethe, Valentina S. Harizanov Dordrecht Springer 2007 Dordrecht Dordrecht Springer 1 online resource (xiii, 287 pages) illustrations 1 online resource (xiii, 287 pages) Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Logic, epistemology and the unity of science v. 9 Includes bibliographical references and index 1.) Introduction to the philosophy and mathematics of algorithmic learning theory Valentina S. Harizanov, Norma B. Goethe, Michèle Friend -- pt. 1.) Technical papers -- 2.) Inductive inference systems for learning classes of algorithmically generated sets and structures V.S. Harizanov -- 3.) Deduction, induction, and beyond in parametric logic Eric Martin, Arun Sharma, Frank Stephan -- 4.) How simplicity helps you find the truth without pointing at it Kevin t. Kelly -- 5.) Introduction over the continuum Iraj Kalantari -- pt. 2.) Philosophy papers -- 6.) Logically reliable inductive inference Oliver Schulte -- 7.) Some philosophical concerns about the confidence in 'confident learning' M. Friend -- 8.) How to do things with an infinite regress Kevin T. Kelly -- 9.) Trade-offs Clark Glymour -- 10.) Two ways of thinking about induction N.B. Goethe -- 11.) Between history and logic Brendan Larvor University staff and students only. Requires University Computer Account login off-campus This is the first book to collect essays from philosophers, mathematicians and computer scientists working at the exciting interface of algorithmic learning theory and the epistemology of science and inductive inference. Readable, introductory essays provide engaging surveys of different, complementary, and mutually inspiring approaches to the topic, both from a philosophical and a mathematical viewpoint. Building upon this base, subsequent papers present novel extensions of algorithmic learning theory as well as bold, new applications to traditional issues in epistemology and the philosophy of science. The volume is vital reading for students and researchers seeking a fresh, truth-directed approach to the philosophy of science and induction, epistemology, logic, and statistics English Computer algorithms Machine learning Mathematics- Philosophy Algorithms Machine Learning Algorithmes Apprentissage automatique Mathématiques- Philosophie algorithms. COMPUTERS- Programming- Open Source. COMPUTERS- Software Development & Engineering- Tools. COMPUTERS- Software Development & Engineering- General. Sciences sociales. Sciences humaines. Computer algorithms. Machine learning. Mathematics- Philosophy. filosofie philosophy algoritmen algorithms wiskunde mathematics cognitieve psychologie cognitive psychology epistemologie epistemology logica logic wetenschapsfilosofie philosophy of science Philosophy (General) Filosofie (algemeen) Friend, Michèle. edt Goethe, Norma B. edt Harizanov, Valentina S. edt Springer e-books Springer e-books Print version Induction, algorithmic learning theory, and philosophy. Dordrecht : Springer, 2007 9781402061264 1402061269 (OCoLC)154712025 Logic, epistemology and the unity of science v. 9