Results 11 to 20 of about 23,286,860 (307)
Delay and knowledge mediation in human causal reasoning [PDF]
, 2002 Contemporary theories of causal induction have focussed largely on the question of how evidence in the form of covariations between causes and effects is used to compute measures of causal strength.
Buehner, Marc
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CoRR, 2022 Decision-making systems based on AI and machine learning have been used throughout a wide range of real-world scenarios, including healthcare, law enforcement, education, and finance. It is no longer far-fetched to envision a future where autonomous systems will be driving entire business decisions and, more broadly, supporting large-scale decision ...
Drago Plecko, Elias Bareinboim
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Minds and Machines, 2022 AbstractAs autonomous systems rapidly become ubiquitous, there is a growing need for a legal and regulatory framework that addresses when and how such a system harms someone. There have been several attempts within the philosophy literature to define harm, but none of them has proven capable of dealing with the many examples that have been presented ...
Sander Beckers +2 more
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Advances in Neural Information Processing Systems 36, 2023 NeurIPS 2023 final camera-ready ...
Wendong Liang +6 more
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Power Analysis for Causal Discovery
International Journal of Data Science and Analytics, 2022 Abstract Causal discovery algorithms have the potential to impact many fields of science. However, substantial foundational work on the statistical properties of causal discovery algorithms is still needed. This paper presents what is to our knowledge the first method for conducting power analysis for causal discovery algorithms.
Erich Kummerfeld +2 more
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Causality fields in nonlinear causal effect analysis
Frontiers of Information Technology & Electronic Engineering, 2022 与线性因果相比, 非线性因果具有更复杂的特点和内涵. 本文主要讨论非线性因果中的若干个问题, 并着重强调因果域的概念. 本文基于广泛应用的计算模型和方法, 围绕非线性因果分析与计算以及因果域的识别问题提出相应观点和建议, 并通过几个具体案例揭示非线性因果在处理复杂因果推断问题中的重要性和现实意义.
Aiguo Wang 0002 +3 more
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CAUSAL ANALYSIS AFTER HAAVELMO [PDF]
Econometric Theory, 2013 Haavelmo’s seminal 1943 and 1944 papers are the first rigorous treatment of causality. In them, he distinguished the definition of causal parameters from their identification. He showed that causal parameters are defined usinghypotheticalmodels that assign variation to some of the inputs determining outcomes while holding all other inputs fixed.
James Heckman, Rodrigo Pinto
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A Causal Analysis of Modal Syllogisms [PDF]
, 2020 It is well known that in his Prior Analysis, Aristotle presents the system of syllogisms. Although many commentators consider Aristotle’s system of modal syllogisms almost impossible to understand from a modern point of view or even inconsistent, many philosophers still tried to account for these claims by looking for a consistent semantics of it.
van Rooij, R., Xie, K.
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Generalized Causal Mediation Analysis [PDF]
Biometrics, 2011 The goal of mediation analysis is to assess direct and indirect effects of a treatment or exposure on an outcome. More generally, we may be interested in the context of a causal model as characterized by a directed acyclic graph (DAG), where mediation via a specific path from exposure to outcome may involve an arbitrary number of links (or "stages ...
Albert, Jeffrey M., Nelson, Suchitra
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Are causal analysis and system analysis compatible approaches? [PDF]
, 2009 In social science, one objection to causal analysis is that the assumption of the closure of the system makes it too narrow in scope, that is it only considers ‘closed’ and ‘hermetic’ systems thus neglecting many other external influences.
Russo, Federica
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