English

Static Knowledge vs. Dynamic Argumentation: A Dual Theory Based on Kripke Semantics

Logic in Computer Science 2022-09-28 v1 Artificial Intelligence Logic

Abstract

This paper establishes a dual theory about knowledge and argumentation. Our idea is rooted at both epistemic logic and argumentation theory, and we aim to merge these two fields, not just in a superficial way but to thoroughly disclose the intrinsic relevance between knowledge and argumentation. Specifically, we define epistemic Kripke models and argument Kripke models as a dual pair, and then work out a two-way generation method between these two types of Kripke models. Such generation is rigorously justified by a duality theorem on modal formulae's invariance. We also provide realistic examples to demonstrate our generation, through which our framework's practical utility gets strongly advocated. We finally propose a philosophical thesis that knowledge is essentially dynamic, and we draw certain connection to Maxwell's demon as well as the well-known proverb "knowledge is power".

Keywords

Cite

@article{arxiv.2209.13082,
  title  = {Static Knowledge vs. Dynamic Argumentation: A Dual Theory Based on Kripke Semantics},
  author = {Xinyu Wang and Momoka Fujieda},
  journal= {arXiv preprint arXiv:2209.13082},
  year   = {2022}
}
R2 v1 2026-06-28T02:09:36.075Z