On Dialogue Modeling: A Dynamic Epistemic Inquisitive Approach. Boritchev, M. & de Grootte, P. New Frontiers in Artificial Intelligence. Lecture Notes in Computer Science, 2021.
On Dialogue Modeling: A Dynamic Epistemic Inquisitive Approach [link]Paper  doi  abstract   bibtex   1 download  
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].
@article{Boritchev:2021,
	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].},
	author = {Boritchev, Maria and Philippe de Grootte},
	date-added = {2021-08-17 00:00:00 +0000},
	date-modified = {2021-08-17 00:00:00 +0000},
	doi = {10.1007/978-3-030-79942-7_2},
	journal = {New Frontiers in Artificial Intelligence. Lecture Notes in Computer Science},
	keywords = {inquisitive logic},
	title = {On Dialogue Modeling: A Dynamic Epistemic Inquisitive Approach},
	url = {https://link.springer.com/chapter/10.1007%2F978-3-030-79942-7_2},
	year = {2021},
	Bdsk-Url-1 = {https://doi.org/10.1007/978-3-030-79942-7_2}}

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