2006
DOI: 10.1007/s10469-006-0029-0
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Index sets of computable structures

Abstract: The index set of a computable structure A is the set of indices for computable copies of A. We determine the complexity of the index sets of various mathematically interesting structures, including arbitrary finite structures, Q-vector spaces, Archimedean real closed ordered fields, reduced Abelian p-groups of length less than ω 2 , and models of the original Ehrenfeucht theory. The index sets for these structures all turn out to be m-completen , for various n. In each case, the calculation involves finding an… Show more

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Cited by 37 publications
(32 citation statements)
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References 18 publications
(27 reference statements)
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“…There are many results using the strategy above to find the complexities of optimal Scott sentences of structures. For example, Knight et al [CHKM06], [CHK + 12] determined the complexities of optimal Scott sentences for finitely generated free abelian groups, reduced abelian groups, free groups, and many other structures.…”
Section: Introductionmentioning
confidence: 99%
“…There are many results using the strategy above to find the complexities of optimal Scott sentences of structures. For example, Knight et al [CHKM06], [CHK + 12] determined the complexities of optimal Scott sentences for finitely generated free abelian groups, reduced abelian groups, free groups, and many other structures.…”
Section: Introductionmentioning
confidence: 99%
“…If we can show that I(A) is m-complete d-Σ 0 2 , then this Scott sentence is optimal. Scott sentences and index sets have been studied for a number of different kinds of structures [20], [10], [7], [6], [5], [13], [31], [30], [11], [8], [9], [22]. In [9] and [22], as in the current paper, the main goal was to find optimal Scott sentences.…”
Section: Introductionmentioning
confidence: 99%
“…A common method to characterize the complexity of an object is to describe the degree of its index set [5][6][7][8]10,13,17]. In the present paper, we carry out this computation for the class of objects which are machine-learnable in a particular model.…”
Section: Introductionmentioning
confidence: 99%