Results 11 to 20 of about 11,358 (236)

Introduction to logical entropy and its relationship to Shannon entropy [PDF]

open access: yes4 open, 2022
We live in the information age. Claude Shannon, as the father of the information age, gave us a theory of communications that quantified an “amount of information,” but, as he pointed out, “no concept of information itself was defined.” Logical entropy ...
Ellerman David
doaj   +5 more sources

Logical entropy and negative probabilities in quantum mechanics

open access: yes4 open, 2022
The concept of Logical Entropy, SL = 1-Σni=1 pi2 SL=1-∑i=1npi2$ {S}_{\mathrm{L}}=1-{\sum }_{i=1}^n {p}_i^2$, where the pi are normalized probabilities, was introduced by David Ellerman in a series of recent papers.
Manfredi Giovanni
doaj   +3 more sources

From Rota to the Logic of Partitions and the Notion of Logical Entropy

open access: yesScience & Philosophy
This paper traces an intellectual journey that starts with some unfinished work of Gian-Carlo Rota on making a logic of equivalence relations or partitions. Rota understood the category-theoretic duality between subsets and partitions which implied there
David Ellerman
doaj   +2 more sources

Relative model of the logical entropy of sub-$\sigma_\Theta$-algebras [PDF]

open access: yesJournal of Mahani Mathematical Research, 2023
‎In the context of observers‎, ‎any mathematical model according to the viewpoint of an observer $ \Theta $ is called a relative model‎. ‎The purpose of the present paper is to study the relative model of logical entropy‎. ‎Given an observer $ \Theta $‎,
Uosef Mohammadi
doaj   +1 more source

Quantum logical entropy: fundamentals and general properties

open access: yes4 open, 2022
Logical entropy gives a measure, in the sense of measure theory, of the distinctions of a given partition of a set, an idea that can be naturally generalized to classical probability distributions.
Tamir Boaz   +3 more
doaj   +1 more source

Entropy-Based Logic Explanations of Neural Networks

open access: yesProceedings of the AAAI Conference on Artificial Intelligence, 2022
Explainable artificial intelligence has rapidly emerged since lawmakers have started requiring interpretable models for safety-critical domains. Concept-based neural networks have arisen as explainable-by-design methods as they leverage human-understandable symbols (i.e. concepts) to predict class memberships. However, most of these approaches focus on
Barbiero, Pietro   +5 more
openaire   +9 more sources

Entropy of pure states: not all wave functions are born equal

open access: yes4 open, 2022
Many-body Hilbert space has the algebraic structure of a finitely generated free module. All N-body wave functions in d dimensions can be generated by a finite number of N!d − 1 of generators called shapes, with symmetric-function coefficients ...
Sunko Denis K.
doaj   +1 more source

Logical Entropy for Quantum States

open access: yesCoRR, 2014
6 pages, v.2 contains some minor corrections and additional ...
Boaz Tamir, Eliahu Cohen
openaire   +3 more sources

Logical entropy of dynamical systems in product MV-algebras and general scheme

open access: yesAdvances in Difference Equations, 2019
The present paper is aimed at studying the entropy of dynamical systems in product MV-algebras. First, by using the concept of logical entropy of a partition in a product MV-algebra introduced and studied by Markechová et al.
Dagmar Markechová, Beloslav Riečan
doaj   +1 more source

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