Title of article :
The measurement of ranks and the laws of iterated contraction Original Research Article
Author/Authors :
Matthias Hild، نويسنده , , Wolfgang Spohn، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Pages :
24
From page :
1195
To page :
1218
Abstract :
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.
Keywords :
Ranking theory , Belief revision theory , Contraction , Iterated contraction , Difference measurement
Journal title :
Artificial Intelligence
Serial Year :
2008
Journal title :
Artificial Intelligence
Record number :
1207624
Link To Document :
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