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Bibliographic Details
Main Author: Dong, Huimin
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2404.03418
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author Dong, Huimin
author_facet Dong, Huimin
contents Information pooling has been extensively formalised across various logical frameworks in distributed systems, characterized by diverse information-sharing patterns. These approaches generally adopt an intersection perspective, aggregating all possible information, regardless of whether it is known or unknown to the agents. In contrast, this work adopts a unique stance, emphasising that sharing knowledge means distributing what is known, rather than what remains uncertain. This paper introduces new modal logics for knowledge pooling and sharing, ranging from a novel language of knowledge pooling to a dynamic mechanism for knowledge sharing. It also outlines their axiomatizations and discusses a potential framework for permissible knowledge pooling.
format Preprint
id arxiv_https___arxiv_org_abs_2404_03418
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Permissible Knowledge Pooling
Dong, Huimin
Logic in Computer Science
Artificial Intelligence
Information pooling has been extensively formalised across various logical frameworks in distributed systems, characterized by diverse information-sharing patterns. These approaches generally adopt an intersection perspective, aggregating all possible information, regardless of whether it is known or unknown to the agents. In contrast, this work adopts a unique stance, emphasising that sharing knowledge means distributing what is known, rather than what remains uncertain. This paper introduces new modal logics for knowledge pooling and sharing, ranging from a novel language of knowledge pooling to a dynamic mechanism for knowledge sharing. It also outlines their axiomatizations and discusses a potential framework for permissible knowledge pooling.
title Permissible Knowledge Pooling
topic Logic in Computer Science
Artificial Intelligence
url https://arxiv.org/abs/2404.03418