The Measurement of Ranks and the Laws of Iterated Contraction


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HILD, Matthias, Wolfgang SPOHN, 2008. The Measurement of Ranks and the Laws of Iterated Contraction. In: Artificial Intelligence. 172(10), pp. 1195-1218

@article{Hild2008Measu-3431, title={The Measurement of Ranks and the Laws of Iterated Contraction}, year={2008}, doi={10.1016/j.artint.2008.03.002}, number={10}, volume={172}, journal={Artificial Intelligence}, pages={1195--1218}, author={Hild, Matthias and Spohn, Wolfgang} }

<rdf:RDF xmlns:rdf="" xmlns:bibo="" xmlns:dc="" xmlns:dcterms="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dc:creator>Hild, Matthias</dc:creator> <dc:language>eng</dc:language> <dcterms:title>The Measurement of Ranks and the Laws of Iterated Contraction</dcterms:title> <dcterms:rights rdf:resource=""/> <dcterms:abstract xml:lang="eng">Ranking theory delivers an account of iterated contraction; each ranking function induces a specific iterated contraction behavior. The paper shows how to reconstruct a ranking function from its iterated contraction behavior uniquely up to multiplicative constant and thus how to measure ranks on a ratio scale. Thereby, it also shows how to completely axiomatize that behavior. The complete set of laws of iterated contraction it specifies amend the laws hitherto discussed in the literature.</dcterms:abstract> <dcterms:available rdf:datatype="">2011-03-23T13:46:19Z</dcterms:available> <dc:contributor>Spohn, Wolfgang</dc:contributor> <bibo:uri rdf:resource=""/> <dc:creator>Spohn, Wolfgang</dc:creator> <dcterms:issued>2008</dcterms:issued> <dc:contributor>Hild, Matthias</dc:contributor> <dc:rights>deposit-license</dc:rights> <dc:format>application/pdf</dc:format> <dcterms:bibliographicCitation>First publ. in: Artificial Intelligence 172 (2008), 10, pp. 1195-1218</dcterms:bibliographicCitation> <dc:date rdf:datatype="">2011-03-23T13:46:19Z</dc:date> </rdf:Description> </rdf:RDF>

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