Proceedings

The Complexity of Nested Counterfactuals and Iterated Knowledge Base Revisions

Download BibTeX Cite

Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence. Knowledge Representation. Pages 526-532.

Abstract

We consider the computational complexity of evaluating nested counterfactuals over a propositional knowledge base. Counterfactual implication p > q models a statement "if p, then q," where pis known or expected to be false, and is different from material implication p =:} q. A nested counterfactual is a counterfactual statement where the conclusion q is a (possibly negated) counterfactual. Statements of the form p 1 > (p 2 > · · · (Pn > q) · · ·) intuitively correspond to hypothetical queries involving a sequence of revisions. We show that evaluating such statements is IIf-complete, and that this task becomes PSPACE-complete if negation is allowed in the nesting. We also consider nesting a counterfactual in the premise, i.e. (p > q) > r and show that evaluating such statements is most likely much harder than evaluating p > (q > r).

Thomas Eiter, and Georg Gottlob. 1993. The Complexity of Nested Counterfactuals and Iterated Knowledge Base Revisions. In Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93. IJCAI, 526–532. https://ijcai.org/proceedings/1993/74
Welcome Future Conferences AI Journal Division IJCAI Proceedings About IJCAI IJCAI Awards