EPDL: A logic for causal reasoning

Dongmo Zhang, Norman Foo

Research output: Contribution to journalConference articlepeer-review

36 Citations (Scopus)

Abstract

This paper presents an extended system EPDL of propositional dynamic logic by allowing a proposition as a modality for representing and specifying direct and indirect effects of actions in a unified logical structure. A set of causal logics based on the framework are proposed to model causal propagations through logical relevancy and iterated effects of causation. It is shown that these logics capture the basic properties of causal reasoning.

Original languageEnglish
Pages (from-to)131-136
Number of pages6
JournalIJCAI International Joint Conference on Artificial Intelligence
Publication statusPublished - 2001
Externally publishedYes
Event17th International Joint Conference on Artificial Intelligence, IJCAI 2001 - Seattle, WA, United States
Duration: 4 Aug 200110 Aug 2001

Keywords

  • Causality
  • Common-sense reasoning
  • Reasoning about actions

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