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Article
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https://doi.org/10.29007/kwk9...
Article . 2018 . Peer-reviewed
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https://dx.doi.org/10.29007/kw...
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Different Proofs are Good Proofs

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Other literature type 23 Jan 2018Publisher:EasyChairJournal:EPiC Series in Computing, volume 6, pages 42-31 (issn: 2398-7340, Copyright policy )
Authors: Geoff Sutcliffe; Cynthia Chang; Li Ding 0001; Deborah L. McGuinness; Paulo Pinheiro da Silva;

doi: 10.29007/kwk9

Different Proofs are Good Proofs

Abstract

In order to compare the quality of proofs, it is necessary to measure artifacts of the proofs, and evaluate the measurements to determine differences between the proofs. This paper discounts the approach of ranking measurements of proof artifacts, and takes the position that different proofs are good proofs. The position is based on proofs in the TSTP solution library, which are generated by Automated Theorem Proving (ATP) systems applied to first-order logic problems in the TPTP problem library.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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