Vague Knowledge: Information without Transitivity and Partitions

Fuente: arXiv
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Autor principal: Xiao, Kerry
Formato: Preprint
Publicado: 2025
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author Xiao, Kerry
author_facet Xiao, Kerry
contents I relax the standard assumptions of transitivity and partition structure in economic models of information to formalize vague knowledge: non-transitive indistinguishability over states. I show that vague knowledge, while failing to partition the state space, remains informative by distinguishing some states from others. Moreover, it can only be faithfully expressed through vague communication with blurred boundaries. My results provide microfoundations for the prevalence of natural language communication and qualitative reasoning in the real world, where knowledge is often vague.
format Preprint
id arxiv_https___arxiv_org_abs_2512_05833
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Vague Knowledge: Information without Transitivity and Partitions
Xiao, Kerry
Theoretical Economics
Computation and Language
Logic
General Finance
I relax the standard assumptions of transitivity and partition structure in economic models of information to formalize vague knowledge: non-transitive indistinguishability over states. I show that vague knowledge, while failing to partition the state space, remains informative by distinguishing some states from others. Moreover, it can only be faithfully expressed through vague communication with blurred boundaries. My results provide microfoundations for the prevalence of natural language communication and qualitative reasoning in the real world, where knowledge is often vague.
title Vague Knowledge: Information without Transitivity and Partitions
topic Theoretical Economics
Computation and Language
Logic
General Finance
url https://arxiv.org/abs/2512.05833