Scientific Discovery: Computational Explorations of the by Pat Langley;Herbert A. Simon;Gary L. Bradshaw;Jan M. Zytkow

By Pat Langley;Herbert A. Simon;Gary L. Bradshaw;Jan M. Zytkow

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Moreover , highly falsifiable theories are strong theories ; they are falsifiable precisely because they make strong predictions that are readily chekced agains observations . As a particular (strict ) form of falsifiability , Simon and Groen ( 1973; see also Simon 1983) have proposed the requirement of " FITness " (finite and irrevocable testability ) . According to this requirement , a theory should be admissible for consideration only if it can, in principle , be falsified by a finite set of observations observations cannot , and if , once rehabilitate it has it .

Unlike the Bayesians. Glymour is not interestedin assigningprobabilities as numerical measures of degreeof confirmation ; indeed, he doubts the usefulnessof expressing thesematters in probabilistic terms. 44 Chapter 2 The basicidea in the bootstrapping method is to useevidencein conjunction with theory to test hypotheses. The procedure is called bootstrapping becausethe hypothesesto be testedmay be part of the theory employedin the test. At this point we will not try to make this idea more precise, or to evaluateit .

We cannot give conclusiveevidencefor this hypothesis- that would require the construction and testing of new computer programs- but we can provide some of our general reasonsfor believing it . In chapter 10 we will give hypothetical but quite plausible accountsof the processesthat are involved in problem finding and problem representation. In the presentstate of the art, that is about as far as we can go. Descriptio~n, Explanation , Cause Scientific laws are sometimesclassified as descriptive or explanatory, and explanatory laws often take the form of statementsof causalrelation.

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