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By M. M. Botvinnik

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Computers In Chess Solving Inexact Search Problems

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1983), Representing and Intervening: Introductory Topics in the Philosophy of Natural Science, Cambridge University Press, Cambridge. Hands, W. D. (2001), Reflection Without Rules: Economic Methodology and Contemporary Science Theory, Cambridge University Press, Cambridge. Howson, C. and Urbach, P. , Open Court, Chicago. Kuhn, T. S. (1962), The Structure of Scientific Revolutions, Chicago University Press, Chicago. Lindley, D. V. (1957), “A Statistical Paradox,” Biometrika, 44:187–92. Mayo, D.

Although the overarching goal is to find out what is (truly) the case about aspects of phenomena, the hypotheses erected in the actual processes of finding things out are generally approximations and may even be deliberately false. Although we cannot fully formalize, we can systematize the manifold steps and interrelated checks that, taken together, constitute a full-bodied experimental inquiry. Background knowledge enters the processes of designing, interpreting, and combining statistical inferences in informal or semiformal ways – not, for example, by prior probability distri-butions.

The time is ripe to get beyond them. 2 Error Statistics and Philosophy of Science The error-statistical philosophy alludes to the general methodological principles and foundations associated with frequentist error-statistical methods; 20 Deborah G. Mayo and Aris Spanos it is the sort of thing that would be possessed by a statistician, when thinking foundationally, or by a philosopher of statistics. , preferring novel results, varying data), and to frame and tackle philosophical problems about evidence and inference (how to warrant data, pinpoint blame for anomalies, and test models and theories).

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