Inquiry Calculus and the Issue of Negative Higher Order Informations

In this paper, we will give the derivation of an inquiry calculus, or, equivalently, a Bayesian information theory. From simple ordering follow lattices, or, equivalently, algebras. Lattices admit a quantification, or, equivalently, algebras may be extended to calculi. The general rules of quantific...

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Main Authors: H. R. Noel van Erp, Ronald O. Linger, Pieter H. A. J. M. van Gelder
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/19/11/622
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author H. R. Noel van Erp
Ronald O. Linger
Pieter H. A. J. M. van Gelder
author_facet H. R. Noel van Erp
Ronald O. Linger
Pieter H. A. J. M. van Gelder
author_sort H. R. Noel van Erp
collection DOAJ
description In this paper, we will give the derivation of an inquiry calculus, or, equivalently, a Bayesian information theory. From simple ordering follow lattices, or, equivalently, algebras. Lattices admit a quantification, or, equivalently, algebras may be extended to calculi. The general rules of quantification are the sum and chain rules. Probability theory follows from a quantification on the specific lattice of statements that has an upper context. Inquiry calculus follows from a quantification on the specific lattice of questions that has a lower context. There will be given here a relevance measure and a product rule for relevances, which, taken together with the sum rule of relevances, will allow us to perform inquiry analyses in an algorithmic manner.
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spelling doaj.art-23cd80c0aff64ef490b82bbc0ee05fec2022-12-22T03:19:15ZengMDPI AGEntropy1099-43002017-11-01191162210.3390/e19110622e19110622Inquiry Calculus and the Issue of Negative Higher Order InformationsH. R. Noel van Erp0Ronald O. Linger1Pieter H. A. J. M. van Gelder2Safety and Security Science Group, TU Delft, 2628 BX Delft, The NetherlandsSafety and Security Science Group, TU Delft, 2628 BX Delft, The NetherlandsSafety and Security Science Group, TU Delft, 2628 BX Delft, The NetherlandsIn this paper, we will give the derivation of an inquiry calculus, or, equivalently, a Bayesian information theory. From simple ordering follow lattices, or, equivalently, algebras. Lattices admit a quantification, or, equivalently, algebras may be extended to calculi. The general rules of quantification are the sum and chain rules. Probability theory follows from a quantification on the specific lattice of statements that has an upper context. Inquiry calculus follows from a quantification on the specific lattice of questions that has a lower context. There will be given here a relevance measure and a product rule for relevances, which, taken together with the sum rule of relevances, will allow us to perform inquiry analyses in an algorithmic manner.https://www.mdpi.com/1099-4300/19/11/622inquiry calculusBayesianinformation theoryproduct rulerelevancemeasureautomated inquiry
spellingShingle H. R. Noel van Erp
Ronald O. Linger
Pieter H. A. J. M. van Gelder
Inquiry Calculus and the Issue of Negative Higher Order Informations
Entropy
inquiry calculus
Bayesian
information theory
product rule
relevance
measure
automated inquiry
title Inquiry Calculus and the Issue of Negative Higher Order Informations
title_full Inquiry Calculus and the Issue of Negative Higher Order Informations
title_fullStr Inquiry Calculus and the Issue of Negative Higher Order Informations
title_full_unstemmed Inquiry Calculus and the Issue of Negative Higher Order Informations
title_short Inquiry Calculus and the Issue of Negative Higher Order Informations
title_sort inquiry calculus and the issue of negative higher order informations
topic inquiry calculus
Bayesian
information theory
product rule
relevance
measure
automated inquiry
url https://www.mdpi.com/1099-4300/19/11/622
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