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  A class of Prolog programs inferable from positive data

Krishna Rao, M. R. K. (1996). A class of Prolog programs inferable from positive data. In S. Arikawa, & A. Sharma (Eds.), Algorithmic Learning Theory (pp. 272-284). Berlin, Germany: Springer.

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 Creators:
Krishna Rao, M. R. K.1, Author           
Affiliations:
1Programming Logics, MPI for Informatics, Max Planck Society, ou_40045              

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 Abstract: In this paper, we identify a class of Prolog programs inferable from positive data. Our approach is based on moding information and linear predicate inequalities between input terms and output terms. Our results generalize the results of Arimura and Shinohara (1994). Standard programs for {\tt reverse, quick-sort, merge-sort} are a few examples of programs that can be handled by our results but not by the earlier results of Arimura and Shinohara (1994). The generality of our results follows from the fact that we treat logical variables as transmitters for broadcasting communication, whereas Arimura and Shinohara (1994) treat them as point-to-point communication channels.

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Language(s): eng - English
 Dates: 2010-03-121996
 Publication Status: Issued
 Pages: -
 Publishing info: Berlin, Germany : Springer
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 519592
Other: Local-ID: C1256104005ECAFC-B58B2D9DFD9E0139C1256418004A4E3E-KrishnaRao96a
 Degree: -

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Title: Untitled Event
Place of Event: Sydney, Australia
Start-/End Date: 1996

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Title: Algorithmic Learning Theory
Source Genre: Proceedings
 Creator(s):
Arikawa, Setsuo, Editor
Sharma, Arun, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 272 - 284 Identifier: ISBN: 3-540-61863-5

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Title: Lecture Notes in Computer Science
Source Genre: Series
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