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Conditioning, intervening, and decision

Hitchcock, Christopher (2016) Conditioning, intervening, and decision. Synthese, 193 (4). pp. 1157-1176. ISSN 0039-7857. doi:10.1007/s11229-015-0710-8.

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Clark Glymour, together with his students Peter Spirtes and Richard Scheines, did pioneering work on graphical causal models (e.g. Spirtes et al., in Causation, prediction, and search, 2000). One of the central advances provided by these models is the ability to simply represent the effects of interventions. In an elegant paper (Meek and Glymour, in Br J Philos Sci 45: 1001–1021, 1994), Glymour and his student Christopher Meek applied these methods to problems in decision theory. One of the morals they drew was that causal decision theory should be understood in terms of interventions. I revisit their proposal, and extend the analysis by showing how graphical causal models might be used to address decision problems that arise in “exotic” situations, such as those involving crystal balls or time travelers.

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Additional Information:© 2015 Springer Science+Business Media Dordrecht. Received: 22 May 2014; Accepted: 27 February 2015; First online: 24 March 2015.
Subject Keywords:Causal decision theory – Causal models – Decision theory – Glymour, Clark – Meek, Christopher
Issue or Number:4
Record Number:CaltechAUTHORS:20160602-124053748
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Official Citation:Hitchcock, C. Synthese (2016) 193: 1157. doi:10.1007/s11229-015-0710-8
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:67577
Deposited By: Tony Diaz
Deposited On:02 Jun 2016 19:48
Last Modified:11 Nov 2021 03:51

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