Artigo Acesso aberto Revisado por pares

Measuring Questions: Relevance and its Relation to Entropy

2004; American Institute of Physics; Linguagem: Inglês

10.1063/1.1835251

ISSN

1935-0465

Autores

Kevin H. Knuth,

Tópico(s)

Neural Networks and Applications

Resumo

The 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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