Measuring Questions: Relevance and its Relation to Entropy
2004; American Institute of Physics; Linguagem: Inglês
10.1063/1.1835251
ISSN1935-0465
Autores Tópico(s)Neural Networks and Applications
ResumoThe Boolean lattice of logical statements induces the free distributive lattice of questions. Inclusion on this lattice is based on whether one question answers another. Generalizing the zeta function of the question lattice leads to a valuation called relevance or bearing, which is a measure of the degree to which one question answers another. Richard Cox conjectured that this degree can be expressed as a generalized entropy. With the assistance of yet another important result from Janos Aczél, I show that this is indeed the case, and that the resulting inquiry calculus is a natural generalization of information theory. This approach provides a new perspective on the Principle of Maximum Entropy.
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