AILOAug 19, 2021

Forgetting Formulas and Signature Elements in Epistemic States

arXiv:2108.08603v1
Originality Synthesis-oriented
AI Analysis

This work addresses the theoretical problem of unifying forgetting operations in knowledge representation for AI researchers, but it is incremental as it builds on existing frameworks.

The paper connects Delgrande's syntactic forgetting approach with marginalisation in epistemic states, showing that marginalisation extends Delgrande's axioms to epistemic states as the most informative operator, but finds that applying these ideas to forgetting formulas leads to trivial results, highlighting a distinction from belief contraction.

Delgrande's knowledge level account of forgetting provides a general approach to forgetting syntax elements from sets of formulas with links to many other forgetting operations, in particular, to Boole's variable elimination. On the other hand, marginalisation of epistemic states is a specific approach to actively reduce signatures in more complex semantic frameworks, also aiming at forgetting atoms that is very well known from probability theory. In this paper, we bring these two perspectives of forgetting together by showing that marginalisation can be considered as an extension of Delgrande's approach to the level of epistemic states. More precisely, we generalize Delgrande's axioms of forgetting to forgetting in epistemic states, and show that marginalisation is the most specific and informative forgetting operator that satisfies these axioms. Moreover, we elaborate suitable phrasings of Delgrande's concept of forgetting for formulas by transferring the basic ideas of the axioms to forgetting formulas from epistemic states. However, here we show that this results in trivial approaches to forgetting formulas. This finding supports the claim that forgetting syntax elements is essentially different from belief contraction, as e.g. axiomatized in the AGM belief change framework.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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