External Links

    Journal: Minds and Machines

    Volume 14, Issue 4

    433 -- 440Kevin B. Korb. Introduction: Machine Learning as Philosophy of Science
    441 -- 451Ahmed Y. Tawfik. Inductive Reasoning and Chance Discovery
    453 -- 484Yury P. Shimansky. The Concept of a Universal Learning System as a Basis for Creating a General Mathematical Theory of Learning
    485 -- 505Kevin T. Kelly. Justification as Truth-Finding Efficiency: How Ockham's Razor Works
    507 -- 538Lorenzo Magnani. Conjectures and Manipulations. Computational Modeling and the Extra- Theoretical Dimension of Scientific Discovery
    539 -- 549Jon Williamson. A Dynamic Interaction Between Machine Learning and the Philosophy of Science
    551 -- 573Evgenii E. Vityaev, Boris Kovalerchuk. Discovery of Empirical Theories Based on the Measurement Theory
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