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Titlebook: Induction, Algorithmic Learning Theory, and Philosophy; Michèle Friend,Norma B. Goethe,Valentina S. Hariza Book 2007 Springer Science+Busi

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發(fā)表于 2025-3-21 17:43:45 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Induction, Algorithmic Learning Theory, and Philosophy
編輯Michèle Friend,Norma B. Goethe,Valentina S. Hariza
視頻videohttp://file.papertrans.cn/464/463877/463877.mp4
概述Only book to combine philosophy essays with technical essays on algorithmic learning theory.Invaluable for the reflective computer scientist or the mathematician/logician interested in modelling learn
叢書(shū)名稱Logic, Epistemology, and the Unity of Science
圖書(shū)封面Titlebook: Induction, Algorithmic Learning Theory, and Philosophy;  Michèle Friend,Norma B. Goethe,Valentina S. Hariza Book 2007 Springer Science+Busi
描述The idea of the present volume emerged in 2002 from a series of talks by Frank Stephan in 2002, and John Case in 2003, on developments of algorithmic learning theory. These talks took place in the Mathematics Department at the George Washington University. Following the talks, ValentinaHarizanovandMichèleFriendraised thepossibility ofanexchange of ideas concerning algorithmic learning theory. In particular, this was to be a mutually bene?cial exchange between philosophers, mathematicians and computer scientists. Harizanov and Friend sent out invitations for contributions and invited Norma Goethe to join the editing team. The Dilthey Fellowship of the George Washington University provided resources over the summer of 2003 to enable the editors and some of the contributors to meet in Oviedo (Spain) at the 12th International Congress of Logic, Methodology and Philosophy of Science. The editing work proceeded from there. The idea behind the volume is to rekindle interdisciplinary discussion. Algorithmic learning theory has been around for nearly half a century. The immediate beginnings can be traced back to E.M. Gold’s papers: “Limiting recursion” (1965) and “Language identi?cation in
出版日期Book 2007
關(guān)鍵詞Algorithm; Chomsky languages; Computer; Deduction; Epistemology; Formal learning theory; Induction; Philoso
版次1
doihttps://doi.org/10.1007/978-1-4020-6127-1
isbn_softcover978-90-481-7544-4
isbn_ebook978-1-4020-6127-1Series ISSN 2214-9775 Series E-ISSN 2214-9783
issn_series 2214-9775
copyrightSpringer Science+Business Media B.V. 2007
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https://doi.org/10.1007/978-1-4020-6127-1Algorithm; Chomsky languages; Computer; Deduction; Epistemology; Formal learning theory; Induction; Philoso
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發(fā)表于 2025-3-22 07:27:06 | 只看該作者
Michèle Friend,Norma B. Goethe,Valentina S. HarizaOnly book to combine philosophy essays with technical essays on algorithmic learning theory.Invaluable for the reflective computer scientist or the mathematician/logician interested in modelling learn
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Logic, Epistemology, and the Unity of Sciencehttp://image.papertrans.cn/i/image/463877.jpg
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Book 2007ing work proceeded from there. The idea behind the volume is to rekindle interdisciplinary discussion. Algorithmic learning theory has been around for nearly half a century. The immediate beginnings can be traced back to E.M. Gold’s papers: “Limiting recursion” (1965) and “Language identi?cation in
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Introduction to the Philosophy and Mathematics of Algorithmic Learning Theory
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Induction, Algorithmic Learning Theory, and Philosophy
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