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Perhaps the most prominent current definition of (actual) causality is due to Halpern and Pearl. It is defined using causal models (also known as structural equations models). We abstract the definition, extracting its key features, so that…

人工智能 · 计算机科学 2025-11-27 Joseph Y. Halpern , Rafael Pass

Pearl opened the door to formally defining actual causation using causal models. His approach rests on two strategies: first, capturing the widespread intuition that X=x causes Y=y iff X=x is a Necessary Element of a Sufficient Set for Y=y,…

人工智能 · 计算机科学 2021-02-05 Sander Beckers

We present a definition of cause and effect in terms of decision-theoretic primitives and thereby provide a principled foundation for causal reasoning. Our definition departs from the traditional view of causation in that causal assertions…

人工智能 · 计算机科学 2014-11-17 D. Heckerman , R. Shachter

Causality has been the issue of philosophic debate since Hippocrates. It is used in formal verification and testing, e.g., to explain counterexamples or construct fault trees. Recent work defines actual causation in terms of Pearl's…

计算机科学中的逻辑 · 计算机科学 2019-11-01 Robert Künnemann , Deepak Garg , Michael Backes

Causal models defined in terms of structural equations have proved to be quite a powerful way of representing knowledge regarding causality. However, a number of authors have given examples that seem to show that the Halpern-Pearl (HP)…

人工智能 · 计算机科学 2019-02-20 Joseph Y. Halpern

Causal reasoning is essential for understanding decision-making about the behaviour of complex `ecosystems' of systems that underpin modern society, with security -- including issues around correctness, safety, resilience, etc. -- typically…

计算机科学中的逻辑 · 计算机科学 2025-08-05 Pinaki Chakraborty , Tristan Caulfield , David Pym

In (Beckers, 2025) I introduced nondeterministic causal models as a generalization of Pearl's standard deterministic causal models. I here take advantage of the increased expressivity offered by these models to offer a novel definition of…

人工智能 · 计算机科学 2025-03-12 Sander Beckers

In previous work with Joost Vennekens I proposed a definition of actual causation that is based on certain plausible principles, thereby allowing the debate on causation to shift away from its heavy focus on examples towards a more…

人工智能 · 计算机科学 2020-12-17 Sander Beckers

The original Halpern-Pearl definition of causality [Halpern and Pearl, 2001] was updated in the journal version of the paper [Halpern and Pearl, 2005] to deal with some problems pointed out by Hopkins and Pearl [2003]. Here the definition…

人工智能 · 计算机科学 2015-05-04 Joseph Y. Halpern

The theory of actual causality, defined by Halpern and Pearl, and its quantitative measure - the degree of responsibility - was shown to be extremely useful in various areas of computer science due to a good match between the results it…

软件工程 · 计算机科学 2016-08-30 Hana Chockler

This paper deals with the problem of estimating the probability that one event was a cause of another in a given scenario. Using structural-semantical definitions of the probabilities of necessary or sufficient causation (or both), we show…

人工智能 · 计算机科学 2013-01-18 Jin Tian , Judea Pearl

A serious defect with the Halpern-Pearl (HP) definition of causality is repaired by combining a theory of causality with a theory of defaults. In addition, it is shown that (despite a claim to the contrary) a cause according to the HP…

人工智能 · 计算机科学 2008-12-18 Joseph Y. Halpern

In recent years the search for a proper formal definition of actual causation -- i.e., the relation of cause-effect as it is instantiated in specific observations, rather than general causal relations -- has taken on impressive proportions.…

人工智能 · 计算机科学 2015-03-04 Sander Beckers , Joost Vennekens

This paper presents a sound and completecalculus for causal relevance, based onPearl's functional models semantics.The calculus consists of axioms and rulesof inference for reasoning about causalrelevance relationships.We extend the set of…

人工智能 · 计算机科学 2013-01-14 Blai Bonet

A definition of causality introduced by Halpern and Pearl, which uses structural equations, is reviewed. A more refined definition is then considered, which takes into account issues of normality and typicality, which are well known to…

人工智能 · 计算机科学 2014-12-10 Joseph Y. Halpern

We show that it is possible to understand and identify a decision maker's subjective causal judgements by observing her preferences over interventions. Following Pearl [2000], we represent causality using causal models (also called…

理论经济学 · 经济学 2024-01-23 Joseph Y. Halpern , Evan Piermont

We introduce an extension of team semantics which provides a framework for the logic of manipulationist theories of causation based on structural equation models, such as Woodward's and Pearl's; our causal teams incorporate (partial or…

计算机科学中的逻辑 · 计算机科学 2019-01-04 Fausto Barbero , Gabriel Sandu

Discussions on causal relations in real life often consider variables for which the definition of causality is unclear since the notion of interventions on the respective variables is obscure. Asking 'what qualifies an action for being an…

统计方法学 · 统计学 2022-11-17 Dominik Janzing , Sergio Hernan Garrido Mejia

This work extends Halpern and Pearl's causal models for actual causality to a possible world semantics environment. Using this framework we introduce a logic of actual causality with modal operators, which allows for reasoning about…

人工智能 · 计算机科学 2023-07-13 Yiwen Ding , Krishna Manoorkar , Apostolos Tzimoulis , Ruoding Wang , Xiaolong Wang

Causation has been the issue of philosophic debate since Hippocrates. Recent work defines actual causation in terms of Pearl/Halpern's causality framework, formalizing necessary causes (IJCAI'15). This has inspired causality notions in the…

人工智能 · 计算机科学 2017-10-26 Robert Künnemann
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