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Contextual Conditional Reasoning

Authors :
Giovanni Casini
Meyer, T.
Varzinczak, I.
Source :
AAAI-21-The Thirty-Fifth AAAI Conference on Artificial Intelligence, pp. 6254–6261, Online Conference, 2-9/2/2021, Scopus-Elsevier, info:cnr-pdr/source/autori:Casini G.; Meyer T.; Varzinczak I./congresso_nome:AAAI-21-The Thirty-Fifth AAAI Conference on Artificial Intelligence/congresso_luogo:Online Conference/congresso_data:2-9%2F2%2F2021/anno:2021/pagina_da:6254/pagina_a:6261/intervallo_pagine:6254–6261
Publication Year :
2021
Publisher :
Association for the Advancement of Artificial Intelligence (AAAI), 2021.

Abstract

We extend the expressivity of classical conditional reasoning by introducing context as a new parameter. The enriched conditional logic generalises the defeasible setting in the style of Kraus, Lehmann and Magidor, and allows for a more refined representation of an agent’s epistemic state, distinguishing, for example, between expectations and counterfactuals. In this paper we introduce the language for the enriched logic, and define an appropriate semantic framework for it. We analyse which properties generally associated with conditional reasoning are still satisfied by the new semantic framework, provide an appropriate representation result, and define an entailment relation based on Lehmann and Magidor’s notion of Rational Closure.

Details

ISSN :
23743468 and 21595399
Volume :
35
Database :
OpenAIRE
Journal :
Proceedings of the AAAI Conference on Artificial Intelligence
Accession number :
edsair.doi.dedup.....ee347d8783e9c80dfafc35faf95e1693
Full Text :
https://doi.org/10.1609/aaai.v35i7.16777