Modelling Informational Entropy

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

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

4 Citations (Scopus)

Abstract

By ‘informational entropy’, we understand an inherent boundary to knowability, due e.g. 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 languageEnglish
Title of host publicationLogic, Language, Information, and Computation - 26th International Workshop, WoLLIC 2019, Utrecht, The Netherlands, Proceedings
EditorsRosalie Iemhoff, Michael Moortgat, Ruy de Queiroz
PublisherSpringer
Pages140-160
Number of pages21
ISBN (Print)9783662595329
DOIs
Publication statusPublished - 2019
Event26th International Workshop on Logic, Language, Information and Communication, WoLLIC 2019 - Utrecht, Netherlands
Duration: 2 Jul 20195 Jul 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11541 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference26th International Workshop on Logic, Language, Information and Communication, WoLLIC 2019
CountryNetherlands
CityUtrecht
Period2/07/195/07/19

Keywords

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

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