David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
Learn more about PhilPapers
Theory and Decision 43 (1):21-44 (1997)
Since the middle of this century, the dominant prescriptive approach to decision theory has been a deductive viewpoint which is concerned with axioms of rational preference and their consequences. After summarizing important problems with the preference primitive, this paper argues for a constructive approach in which information is the foundation for decision-making. This approach poses comparability of uncertain acts as a question rather than an assumption. It is argued that, in general, neither preference nor subjective probability can be assumed given, and that these need to be generated by using the relevant information available to the decision-agent in a given situation. A specific constructive model is discussed and illustrated with a real example from this viewpoint
|Keywords||preference axioms subjective probability deductive models information constructive models|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
Martin Peterson (2004). From Outcomes to Acts: A Non-Standard Axiomatization of the Expected Utility Principle. Journal of Philosophical Logic 33 (4):361-378.
Similar books and articles
Fernando Tohmé (2002). Negotiation and Defeasible Decision Making. Theory and Decision 53 (4):289-311.
Amit Hagar & Meir Hemmo (2006). Explaining the Unobserved: Why Quantum Theory Ain't Only About Information. Foundations of Physics 36 (9):1295-1234.
Jacinto González-Pachón & Sixto Ríos-Insua (1999). Mixture of Maximal Quasi Orders: A New Approach to Preference Modelling. Theory and Decision 47 (1):73-88.
Lara Buchak (forthcoming). Decision Theory. In Christopher Hitchcock & Alan Hajek (eds.), Oxford Handbook of Probability and Philosophy. Oxford University Press
Clare Chua Chow & Rakesh K. Sarin (2002). Known, Unknown, and Unknowable Uncertainties. Theory and Decision 52 (2):127-138.
Isabelle Brocas (2011). Dynamic Inconsistency and Choice. Theory and Decision 71 (3):343-364.
Waymond Rodgers & Susana Gago (2001). Cultural and Ethical Effects on Managerial Decisions: Examined in a Throughput Model. [REVIEW] Journal of Business Ethics 31 (4):355 - 367.
Nils O. Larsson (2000). Decision Settings Analysis Â a Tool for Analysis and Design of Human Activity Systems. Theory and Decision 49 (4):339-360.
Michael E. Brady (1987). J. M. Keynes' 'Theory of Evidential Weight': Its Relation to Information Processing Theory and Application in the General Theory. Synthese 71 (1):37 - 59.
Darren Bradley (2013). Decision Theory, Philosophical Perspectives. In Hal Pashler (ed.), Encyclopedia of the Mind. Sage
J. David Velleman (1993). The Story of Rational Action. Philosophical Topics 21 (1):229-254.
Takashi Nishiyama, Shinpei Hibiya & Tetsuo Sawaragi (2011). Development of Agent System Based on Decision Model for Creating an Ambient Space. AI and Society 26 (3):247-259.
Kevin Morrell (2004). Decision Making and Business Ethics: The Implications of Using Image Theory in Preference to Rational Choice. [REVIEW] Journal of Business Ethics 50 (3):239-252.
Added to index2010-09-02
Total downloads16 ( #239,712 of 1,934,702 )
Recent downloads (6 months)4 ( #145,851 of 1,934,702 )
How can I increase my downloads?