Discovering Causal Chains by Integrating Plan Recognitionand Sequential Pattern Mining

May 2004

Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2004)

Volume

Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2004)

All Papers

In this paper we define the notion of causal chains. Causal chains are a particular kind of sequential patterns that reflect causality relations according to background knowledge. We also present an algorithm for mining causal chains from a collection of action traces. We run this algorithm on a realworld domain and observe that causal chains can be computed efficiently by quickly identifying inter-related actions.