Induction, algorithmic learning theory, and philosophy by Michèle Friend, Norma B. Goethe, Valentina S. Harizanov

By Michèle Friend, Norma B. Goethe, Valentina S. Harizanov

This can be the 1st ebook to gather essays from philosophers, mathematicians and machine scientists operating on the interesting interface of algorithmic studying thought and the epistemology of technology and inductive inference. Readable, introductory essays supply enticing surveys of other, complementary, and together inspiring ways to the subject, either from a philosophical and a mathematical viewpoint.

Building upon this base, next papers current novel extensions of algorithmic studying idea in addition to daring, new functions to standard concerns in epistemology and the philosophy of technology. the quantity is essential interpreting for college students and researchers looking a clean, truth-directed method of the philosophy of technological know-how and induction, epistemology, good judgment, and facts.

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Additional resources for Induction, algorithmic learning theory, and philosophy (Logic, epistemology and the unity of science, Volume 9)

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The remaining papers in the second section (Part II) serve to bring various philosophical problems into focus. The following are summaries of the papers, in the order in which they appear in the volume. Harizanov’s paper presents many of the key learning theoretic concepts and gives depth to knowledge of various parameters of a learning paradigm. The paper first introduces basic concepts of computability theory and inductive inference in the limit, such as computable and computably enumerable languages, and learning from text (positive information).

2000). “The Logic of Success”, The British Journal for the Philosophy of Science, Special Millennium Issue 51, 639–666. T. (2004). “Uncomputability: The Problem of Induction Internalized”, Theoretical Computer Science 317, 227–249. [27] Kelly, K. and Juhl, C. (1994). , Forbes, M. and Burian, R. [19], 181–190. [28] Lakatos, I. (1976). Proofs and Refutations, Cambridge: Cambridge University Press. [29] Lakatos, I. (1998). “Science or Pseudo-Science”, in Curd, M. A [11], 20–26. [30] Laudan, L. (1980).

1963). Conjectures and Refutations: The Growth of Scientific Knowledge, London: Routledge. [44] Putnam, H. (1963). “‘Degree of Confirmation’ and Inductive Logic”, in Putnam, H. [47], 270–292. 24 Valentina S. Harizanov et al. [45] Putnam, H. (1965). “Trial and Error Predicates and the Solution to the Problem of Mostowski”, Journal of Symbolic Logic 30, 49–57. [46] Putnam, H. (1975). “Probability and Confirmation”, in Putnam, H. [47], 293–304. [47] Putnam, H. (1975). Mathematics, Matter, and Method, Cambridge: Cambridge University Press.

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