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6-13 Show the following refinements of the observation in Exercise 6-12. |
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(a) ![0149-001.gif](0149-001.GIF) |
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(b) ![0149-002.gif](0149-002.GIF) |
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6-14 (Advanced) Consider the following variation on ![0149-003.gif](0149-003.GIF) |
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6.35 Definition (Osherson, Stob, and Weinstein [140] )Let and . |
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(a) (written: ) just in case for each text T for L there is a finite, nonempty set D of cardinality at most b such that (i) M finitely converges to D, (ii) for each , Wi = a L, and (iii) for all i, , Wi = Wj |
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(b) ![0149-010.gif](0149-010.GIF) |
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Show that for all , ![0149-012.gif](0149-012.GIF) |
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Open Question: Is ? |
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6-15 Two approaches to relaxing the strict requirement of Ex-identification have been considered in this chapter, namely, allowing anomalies in the final program and weakening the notion of convergence. Here we consider a third approach. Instead requiring convergence to a program for the function, we allow a scientist to converge to a "trial and error" procedure for the function. We formalize what we mean by a "trial and error" procedure for a function through programs for limiting approximations. A two argument j -program i is referred to as Lim-program for h just in case for all x , where h (x) is undefined just in case the limit fails to exist. Intuitively, such a Lim-program, on a given input, is allowed finitely many mind changes about what output to produce. The next definition introduces a paradigm in which the scientist converges to a Lim-program for a finite variant of the function to be identified. |
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6.36 Definition (Case, Jain, and Sharma [29]) Let ![0149-015.gif](0149-015.GIF) |
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(a) M LimEXa-identifies (written: ) just in case and M(f) is a Lim-program for an a-variant of f. |
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(b) . |
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