Results 241 to 250 of about 592,913 (254)
Some of the next articles are maybe not open access.

The entropy of observables on quantum logic

Reports on Mathematical Physics, 1984
Let L be a quantum logic, i.e., L is an orthocomplemented, orthomodular \(\sigma\)-lattice. Let A be an observable (i.e., \(\sigma\)-homomorphism from the Borel subsets \(B({\mathbb{R}}_ 1)\) into L), and let \(\alpha\) be a state, i.e., a probability measure on L. The resolution of 1 with respect to an observable A is a set \(M\subset \{A(E):\) \(E\in
openaire   +2 more sources

Information, Entropy and Inductive Logic

Philosophy of Science, 1954
It has been shown by several authors that in operations involving information a quantity appears which is the negative of the quantity usually defined as entropy in similar situations. This quantity ℜ = − KI has been termed “negentropy” and it has been shown that the negentropy of information and the physical entropy S are mirrorlike representations of
openaire   +1 more source

Logical Conditioning and Entropy Inference Based on Observational Data

Open Systems & Information Dynamics, 2001
The logical conditioning inference problem is studied when a simple condition setting a threshold for a potential observation of a scalar observable uncertain quantity is introduced as an additional information to the pieces of evidence originally available to make inference, which include observational data.
Alberto Solana-Ortega, Vicente Solana
openaire   +1 more source

Simplicity, Entropy and Inductive Logic

1966
Publisher Summary This chapter discusses simplicity that leads to an entropy-like measure and helps in settling problems of the application of inductive logic. It focuses on the explication of the notion of simplicity of state descriptions. The principle of simplicity plays an important role as a guide of inductive behavior: in situations where a ...
openaire   +1 more source

A conditional-logical approach to minimum cross-entropy

1997
The principle of minimum cross-entropy (ME-principle) is often used in the AI-areas of knowledge representation and uncertain reasoning as an elegant and powerful tool to build up complete probability distributions when only partial knowledge is available.
openaire   +2 more sources

REFLEX: Reconfigurable logic for entropy extraction

2014 27th IEEE International System-on-Chip Conference (SOCC), 2014
Vikram B. Suresh, Wayne P. Burleson
openaire   +1 more source

An introduction of logical entropy on sequential effect algebra

Indagationes Mathematicae, 2017
Abolfazl Ebrahimzadeh
exaly  

Home - About - Disclaimer - Privacy