Modelling Informational Entropy

Willem Conradie; Andrew Craig; Alessandra Palmigiano; Nachoem M. Wijnberg

doi:10.1007/978-3-662-59533-6_9

Modelling Informational Entropy

Willem Conradie, Andrew Craig, Alessandra Palmigiano, Nachoem M. Wijnberg

Mathematics and Applied Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Citations (Scopus)

Abstract

By ‘informational entropy’, we understand an inherent boundary to knowability, due e.g.Â to perceptual, theoretical, evidential or linguistic limits. In this paper, we discuss a logical framework in which this boundary is incorporated into the semantic and deductive machinery, and outline how this framework can be used to model various situations in which informational entropy arises.

Original language	English
Title of host publication	Logic, Language, Information, and Computation - 26th International Workshop, WoLLIC 2019, Utrecht, The Netherlands, Proceedings
Editors	Rosalie Iemhoff, Michael Moortgat, Ruy de Queiroz
Publisher	Springer Verlag
Pages	140-160
Number of pages	21
ISBN (Print)	9783662595329
DOIs	https://doi.org/10.1007/978-3-662-59533-6_9
Publication status	Published - 2019
Event	26th International Workshop on Logic, Language, Information and Communication, WoLLIC 2019 - Utrecht, Netherlands Duration: 2 Jul 2019 → 5 Jul 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11541 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	26th International Workshop on Logic, Language, Information and Communication, WoLLIC 2019
Country/Territory	Netherlands
City	Utrecht
Period	2/07/19 → 5/07/19

Keywords

Concept lattice
Epistemic logic
Graph-based semantics
Lattice-based modal logic
Polarity-based semantics

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-662-59533-6_9

Cite this

Conradie, W., Craig, A., Palmigiano, A., & Wijnberg, N. M. (2019). Modelling Informational Entropy. In R. Iemhoff, M. Moortgat, & R. de Queiroz (Eds.), Logic, Language, Information, and Computation - 26th International Workshop, WoLLIC 2019, Utrecht, The Netherlands, Proceedings (pp. 140-160). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11541 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-662-59533-6_9

Conradie, Willem ; Craig, Andrew ; Palmigiano, Alessandra et al. / Modelling Informational Entropy. Logic, Language, Information, and Computation - 26th International Workshop, WoLLIC 2019, Utrecht, The Netherlands, Proceedings. editor / Rosalie Iemhoff ; Michael Moortgat ; Ruy de Queiroz. Springer Verlag, 2019. pp. 140-160 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Modelling Informational Entropy",

abstract = "By {\textquoteleft}informational entropy{\textquoteright}, we understand an inherent boundary to knowability, due e.g.{\^A} to perceptual, theoretical, evidential or linguistic limits. In this paper, we discuss a logical framework in which this boundary is incorporated into the semantic and deductive machinery, and outline how this framework can be used to model various situations in which informational entropy arises.",

keywords = "Concept lattice, Epistemic logic, Graph-based semantics, Lattice-based modal logic, Polarity-based semantics",

author = "Willem Conradie and Andrew Craig and Alessandra Palmigiano and Wijnberg, {Nachoem M.}",

note = "Publisher Copyright: {\textcopyright} 2019, Springer-Verlag GmbH Germany, part of Springer Nature.; 26th International Workshop on Logic, Language, Information and Communication, WoLLIC 2019 ; Conference date: 02-07-2019 Through 05-07-2019",

year = "2019",

doi = "10.1007/978-3-662-59533-6_9",

language = "English",

isbn = "9783662595329",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "140--160",

editor = "Rosalie Iemhoff and Michael Moortgat and {de Queiroz}, Ruy",

booktitle = "Logic, Language, Information, and Computation - 26th International Workshop, WoLLIC 2019, Utrecht, The Netherlands, Proceedings",

address = "Germany",

}

Conradie, W, Craig, A, Palmigiano, A & Wijnberg, NM 2019, Modelling Informational Entropy. in R Iemhoff, M Moortgat & R de Queiroz (eds), Logic, Language, Information, and Computation - 26th International Workshop, WoLLIC 2019, Utrecht, The Netherlands, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11541 LNCS, Springer Verlag, pp. 140-160, 26th International Workshop on Logic, Language, Information and Communication, WoLLIC 2019, Utrecht, Netherlands, 2/07/19. https://doi.org/10.1007/978-3-662-59533-6_9

Modelling Informational Entropy. / Conradie, Willem; Craig, Andrew; Palmigiano, Alessandra et al.
Logic, Language, Information, and Computation - 26th International Workshop, WoLLIC 2019, Utrecht, The Netherlands, Proceedings. ed. / Rosalie Iemhoff; Michael Moortgat; Ruy de Queiroz. Springer Verlag, 2019. p. 140-160 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11541 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Modelling Informational Entropy

AU - Conradie, Willem

AU - Craig, Andrew

AU - Palmigiano, Alessandra

AU - Wijnberg, Nachoem M.

PY - 2019

Y1 - 2019

N2 - By ‘informational entropy’, we understand an inherent boundary to knowability, due e.g.Â to perceptual, theoretical, evidential or linguistic limits. In this paper, we discuss a logical framework in which this boundary is incorporated into the semantic and deductive machinery, and outline how this framework can be used to model various situations in which informational entropy arises.

AB - By ‘informational entropy’, we understand an inherent boundary to knowability, due e.g.Â to perceptual, theoretical, evidential or linguistic limits. In this paper, we discuss a logical framework in which this boundary is incorporated into the semantic and deductive machinery, and outline how this framework can be used to model various situations in which informational entropy arises.

KW - Concept lattice

KW - Epistemic logic

KW - Graph-based semantics

KW - Lattice-based modal logic

KW - Polarity-based semantics

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Logic, Language, Information, and Computation - 26th International Workshop, WoLLIC 2019, Utrecht, The Netherlands, Proceedings

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A2 - Moortgat, Michael

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PB - Springer Verlag

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Conradie W, Craig A, Palmigiano A, Wijnberg NM. Modelling Informational Entropy. In Iemhoff R, Moortgat M, de Queiroz R, editors, Logic, Language, Information, and Computation - 26th International Workshop, WoLLIC 2019, Utrecht, The Netherlands, Proceedings. Springer Verlag. 2019. p. 140-160. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-662-59533-6_9

Modelling Informational Entropy

Abstract

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Keywords

ASJC Scopus subject areas

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