On Dialogue Modeling: A Dynamic Epistemic Inquisitive Approach

Maria Boritchev, Philippe de Groote

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper introduces a formal model of dialogue based on insights and ideas developed by Jonathan Ginzburg in [11]. This model, which is logic based, takes advantage of inquisitive semantics [4], which allows to model both declarative and interrogative sentences in a uniform way. It appeals to ideas derived from classical epistemic logic in order to model the knowledge states of the dialogue participants, and includes a context-updating mechanisms based on the type-theoretic dynamic logic developed in [15].

Original languageEnglish
Title of host publicationNew Frontiers in Artificial Intelligence - JSAI-isAI 2020 Workshops, JURISIN, LENLS 2020 Workshops, 2020, Revised Selected Papers
EditorsNaoaki Okazaki, Katsutoshi Yada, Ken Satoh, Koji Mineshima
PublisherSpringer Science and Business Media Deutschland GmbH
Pages21-36
Number of pages16
ISBN (Print)9783030799410
DOIs
Publication statusPublished - 1 Jan 2021
Externally publishedYes
Event12th International Symposium on Artificial Intelligence supported by the Japanese Society for Artificial Intelligence, JSAI-isAI 2020, International Workshop on Logic and Engineering of Natural Language Semantics, LENLS 2020, 14th International Workshop on Juris-informatics, JURISIN 2020 - Virtual, Online
Duration: 15 Nov 202017 Nov 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12758 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Symposium on Artificial Intelligence supported by the Japanese Society for Artificial Intelligence, JSAI-isAI 2020, International Workshop on Logic and Engineering of Natural Language Semantics, LENLS 2020, 14th International Workshop on Juris-informatics, JURISIN 2020
CityVirtual, Online
Period15/11/2017/11/20

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