Contrastive Explanations Proposed for Description Logic Knowledge Bases
A recent study available on arXiv introduces contrastive explanations for description logic (DL) knowledge bases, tackling the shortcomings of existing methods such as justifications and abductive reasoning. The authors contend that these current approaches do not prioritize the user's perspective, neglecting their understanding, needs, and prior knowledge. The goal of contrastive explanations is to clarify why an axiom P (fact) holds true in contrast to another axiom Q (foil), as users frequently express surprise at P when they expected Q. This paper formalizes the concept within DL knowledge bases, emphasizing that separate explanations for 'why P' and 'why not Q' fall short, as users seek to understand the distinction between the two. The work is cataloged on arXiv with the identifier 2605.01442v1.
Key facts
- Paper proposes contrastive explanations for description logic knowledge bases.
- Addresses limitations of justifications and abductive reasoning.
- Contrastive explanations answer why axiom P is true instead of axiom Q.
- Motivated by user surprise when anticipated event Q does not occur.
- Existing formalisms lack user-centered approach.
- Published on arXiv with identifier 2605.01442v1.
Entities
Institutions
- arXiv