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Compact Representations of Extended Causal Models

Halpern, Joseph Y. and Hitchcock, Christopher (2013) Compact Representations of Extended Causal Models. Cognitive Science, 37 (6). pp. 986-1010. ISSN 0364-0213. doi:10.1111/cogs.12059.

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Judea Pearl (2000) was the first to propose a definition of actual causation using causal models. A number of authors have suggested that an adequate account of actual causation must appeal not only to causal structure but also to considerations of normality. In Halpern and Hitchcock (2011), we offer a definition of actual causation using extended causal models, which include information about both causal structure and normality. Extended causal models are potentially very complex. In this study, we show how it is possible to achieve a compact representation of extended causal models.

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Additional Information:© 2013 Cognitive Science Society, Inc. Received 1 February 2012; received in revised form 20 January 2013; accepted 29 January 2013. Article first published online: 19 Jul. 2013. Supported in part by NSF grants IIS-0812045 and IIS-0911036, AFOSR grant FA9550-08-1-0438 and AFOSR grants FA9550-08-1-0438 and FA9550-05-1-0055, and ARO grant W911NF-09-1-0281.
Funding AgencyGrant Number
Air Force Office of Scientific Research (AFOSR)FA9550-08-1-0438
Air Force Office of Scientific Research (AFOSR)FA9550-05-1-0055
Army Research Office (ARO)W911NF-09-1-0281
Subject Keywords:Causality; Normal; Typical; Bayesian network; Compact representation
Issue or Number:6
Record Number:CaltechAUTHORS:20130917-090933002
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:41357
Deposited By: Tony Diaz
Deposited On:17 Sep 2013 22:57
Last Modified:10 Nov 2021 04:29

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