KR2026Proceedings of the 23rd International Conference on Principles of Knowledge Representation and ReasoningProceedings of the 23rd International Conference on Principles of Knowledge Representation and Reasoning

Lisbon, Portugal. July 20-23, 2026.

Edited by
  1. Renata Wassermann
  2. Marie-Laure Mugnier
  3. Franz Baader

ISSN: 2334-1033
ISBN: 978-1-956792-18-8

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Published by

Copyright © 2026 International Joint Conferences on Artificial Intelligence Organization

Revealed Epistemic Trust

  1. Xu Li(University of Luxembourg)
  2. Leon van der Torre(University of Luxembourg)
  3. Liuwen Yu(Luxembourg Institute of Science and Technology)
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BibTeX
https://doi.org/10.24963/kr.2026/44

Keywords

  1. null-Epistemic Trust
  2. null-Belief
  3. null-Revealed Preference

Abstract

Inspired by revealed preference in economics, we study revealed epistemic trust: an agent’s (dis)trust in an information source is typically hidden, while her accept/reject behavior leaves observable traces. We model such traces by an acceptance function that maps each reported set of formulas to the subset the agent accepts. We develop two complementary models: a white-list mode, where acceptance is supported by trusted information in the report, and a black-list mode, where acceptance avoids distrusted patterns via a cautious remainder-set/full-meet construction. For both modes, we provide postulate-based representation theorems and show how canonical "revealed" trust and distrust cores can be reconstructed from the acceptance function itself.