[PDF] Counterfactual Desirability | Semantic Scholar Skip to search formSkip to main content> Semantic Scholar's Logo Search Sign InCreate Free Account You are currently offline. Some features of the site may not work correctly. DOI:10.1093/bjps/axv023 Corpus ID: 1665082Counterfactual Desirability @article{Bradley2017CounterfactualD, title={Counterfactual Desirability}, author={R. Bradley and H. Stef{\'a}nsson}, journal={The British Journal for the Philosophy of Science}, year={2017}, volume={68}, pages={485 - 533} } R. Bradley, H. Stefánsson Published 2017 Medicine The British Journal for the Philosophy of Science The desirability of what actually occurs is often influenced by what could have been. Preferences based on such value dependencies between actual and counterfactual outcomes generate a class of problems for orthodox decision theory, the best-known perhaps being the so-called Allais paradox. In this article we solve these problems by extending Richard Jeffrey’s decision theory to counterfactual prospects, using a multidimensional possible-world semantics for conditionals, and showing that… Expand View on U of Chicago journals.uchicago.edu Save to Library Create Alert Cite Launch Research Feed Share This Paper 6 CitationsHighly Influential Citations 2 Background Citations 2 View All Topics from this paper Counterfactual conditional Decision theory Possible world 6 Citations Citation Type Citation Type All Types Cites Results Cites Methods Cites Background Has PDF Publication Type Author More Filters More Filters Filters Sort by Relevance Sort by Most Influenced Papers Sort by Citation Count Sort by Recency FAIR CHANCE AND MODAL CONSEQUENTIALISM H. O. Stefánsson Economics Economics and Philosophy 2015 7 Highly Influenced View 4 excerpts, cites background Save Alert Research Feed How Valuable Are Chances? H. O. Stefánsson, R. Bradley Philosophy Philosophy of Science 2015 13 PDF Save Alert Research Feed Don’t Look Now Arif Ahmed, B. Salow The British Journal for the Philosophy of Science 2019 Save Alert Research Feed Desirability of conditionals H. O. Stefánsson Psychology, Computer Science Synthese 2015 3 Highly Influenced View 4 excerpts, cites background Save Alert Research Feed Decision Theory with a Human Face R. Bradley Psychology, Sociology 2017 39 PDF Save Alert Research Feed Generalized Jeffrey Conditionalization D. Draheim Computer Science SpringerBriefs in Computer Science 2017 5 Save Alert Research Feed References SHOWING 1-10 OF 19 REFERENCES SORT BYRelevance Most Influenced Papers Recency Regret Theory: An alternative theory of rational choice under uncertainty Review of Economic Studies G. Loomes, R. Sugden Mathematics, Economics 1982 3,161 Save Alert Research Feed Expected Utility and Risk* Paul Weirich Economics The British Journal for the Philosophy of Science 1986 27 Save Alert Research Feed Cardinal Welfare, Individualistic Ethics, and Interpersonal Comparison of Utility: Comment P. Diamond Economics Journal of Political Economy 1967 374 PDF Save Alert Research Feed Multidimensional Possible-World Semantics for Conditionals R. Bradley Computer Science 2012 28 PDF View 5 excerpts, references background Save Alert Research Feed A Unified Bayesian Decision Theory R. Bradley Mathematics 2007 35 PDF Save Alert Research Feed A Representation Theorem for a Decision Theory With Conditionals R. Bradley Mathematics, Computer Science Synthese 2004 33 Save Alert Research Feed Le comportement de l'homme rationnel devant le risque : critique des postulats et axiomes de l'ecole americaine M. Allais Economics 1953 3,455 PDF Save Alert Research Feed Prospect Theory: An Analysis of Decision Under Risk (Kahneman and Tversky, 1979) A. Young Mathematics 2011 715 Save Alert Research Feed Functions resembling quotients of measures E. Bolker Mathematics 1966 94 PDF View 2 excerpts, references background and methods Save Alert Research Feed Le Comportement de l’Homme Rationnel Devantle Risque: Critique 1953 ... 1 2 ... Related Papers Abstract Topics 6 Citations 19 References Related Papers Stay Connected With Semantic Scholar Sign Up About Semantic Scholar Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI. Learn More → Resources DatasetsSupp.aiAPIOpen Corpus Organization About UsResearchPublishing PartnersData Partners   FAQContact Proudly built by AI2 with the help of our Collaborators Terms of Service•Privacy Policy The Allen Institute for AI By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License ACCEPT & CONTINUE