A General Framework of Epistemic Forgetting and its Instantiation by Ranking Functions
Christoph Beierle, Alexander Hahn, Diana Howey, Gabriele Kern-Isberner, Kai Sauerwald

TL;DR
This paper develops a unified framework for epistemic forgetting, extending existing syntactic and semantic methods to richer epistemic states, and evaluates multiple concrete forgetting operations within this framework.
Contribution
It introduces five general types of epistemic forgetting and instantiates them with seven concrete operations for ranking functions, providing a comprehensive axiomatic evaluation.
Findings
Seven concrete forgetting operations evaluated against multiple postulates.
Identifies key differences and similarities among various forgetting operators.
Provides a unified, axiomatic framework for epistemic forgetting in richer semantic structures.
Abstract
Forgetting as a knowledge management operation deliberately ignores parts of the knowledge and beliefs of an agent, for various reasons. Forgetting has many facets, one may want to forget parts of the syntax, a proposition, or a conditional. In the literature, two main operators suitable for performing forgetting have been proposed and investigated in depth: First, variable elimination is a syntactical method that blends out certain atomic variables to focus on the rest of the language. It has been mainly used in the area of logic programming and answer set programming. Second, contraction in AGM belief revision theory effectively removes propositions from belief sets under logical deduction. Both operations rely mainly on classical logics. In this article, we take an epistemic perspective and study forgetting operations in epistemic states with richer semantic structures, but with…
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Taxonomy
TopicsLogic, Reasoning, and Knowledge · Topic Modeling · Multi-Agent Systems and Negotiation
