A quantitative approach to semantic informativity
نویسنده
چکیده
This article shows a form of measuring semantic informativity of deductions. Dynamic concepts of complexity and relevancy are presented according to explicit definitions of insertion and deletion on databases. Hence, with respect to finite databases, it solves Bar-Hillel-Carnap paradox and Hintikka’ scandal of deduction.
منابع مشابه
Semantic information and artificial intelligence
For a computational system to be intelligent, it should be able to perform, at least, basic deductions. Nonetheless, since deductions are, in some sense, equivalent to tautologies, it seems that they do not provide new information. The present article proposes a measure the degree of semantic informativity of valid deductions in a dynamic setting. Concepts of coherency and relevancy, displayed ...
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عنوان ژورنال:
- CoRR
دوره abs/1404.3782 شماره
صفحات -
تاریخ انتشار 2014