Field Knowledge as a Dual to Distributed Knowledge: A Characterization by Weighted Modal Logic
Xiaolong Liang, Yì N. Wáng
TL;DR
This paper introduces field knowledge as the dual to distributed knowledge within a weighted modal logic framework that captures agents' epistemic abilities. It develops eight logics formed by combining common, distributed, and field knowledge, and provides eight corresponding axiom systems with soundness results and varying completeness (strong for the logics without common knowledge, weak for those with common knowledge). The semantics leverages similarity models that extend Kripke semantics with an edge-based representation of epistemic abilities and a nuanced interpretation of group modalities. Through translation, canonical-model, path-based canonical-model, and finitary-model techniques, the authors establish completeness results and show how field knowledge can be integrated with distributed knowledge without collapsing existing epistemic intuitions. The framework offers a flexible tool for characterizing knowledge after considering agents’ professional abilities and shared disciplines, with potential for richer similarity conditions and comparisons to related epistemic formalisms.
Abstract
The study of group knowledge concepts such as mutual, common, and distributed knowledge is well established within the discipline of epistemic logic. In this work, we incorporate epistemic abilities of agents to refine the formal definition of distributed knowledge and introduce a formal characterization of field knowledge. We propose that field knowledge serves as a dual to distributed knowledge. Our approach utilizes epistemic logics with various group knowledge constructs, interpreted through weighted models. We delve into the eight logics that stem from these considerations, explore their relative expressivity and develop sound and complete axiomatic systems.
