Towards the entropy-limit conjecture
Towards the entropy-limit conjecture
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走向熵极限猜想
DOI:
10.1016/j.apal.2020.102870
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
J. Williamson
中科院分区:
文献类型:
--
作者:
J. Landes;S. Rafiee Rad;J. Williamson
The maximum entropy principle is widely used to determine non-committal probabilities on a finite domain, subject to a set of constraints, but its application to continuous domains is notoriously problematic. This paper concerns an intermediate case, where the domain is a first-order predicate language. Two strategies have been put forward for applying the maximum entropy principle on such a domain:(i) applying it to finite sublanguages and taking the pointwise limit of the resulting probabilities as the size n of the sublanguage increases;(ii) selecting a probability function on the language as a whole whose entropy on finite sublanguages of size n is not dominated by that of any other probability function for sufficiently large n. The entropy-limit conjecture says that, where these two approaches yield determinate probabilities, the two methods yield the same probabilities. If this conjecture is found to be true, it would provide a boost to the project of seeking a single canonical inductive logic—a project which faltered when Carnap's attempts in this direction succeeded only in determining a continuum of inductive methods. The truth of the conjecture would also boost the project of providing a canonical characterisation of normal or default models of first-order theories. Hitherto, the entropy-limit conjecture has been verified for languages which contain only unary predicate symbols and also for the case in which the constraints can be captured by a categorical statement of Σ 1 quantifier complexity. This paper shows that the entropy-limit conjecture also holds for categorical statements of Π 1 complexity, for various non-categorical constraints, and in certain other general situations.
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DOI:
10.1093/jigpal/jzm028
发表时间:
2007
期刊:
Log. J. IGPL
影响因子:
--
作者:
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通讯作者:
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DOI:
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1990
期刊:
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影响因子:
--
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通讯作者:
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影响因子:
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作者:
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通讯作者:
Jon Williamson
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发表时间:
2008
期刊:
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影响因子:
--
作者:
Jon Williamson
通讯作者:
Jon Williamson
影响因子:
0.7
作者:
Soroush Rafiee Rad
通讯作者:
Soroush Rafiee Rad