238550

(1988) Synthese 75 (1).

Decision theory with complex uncertainties

Dilip B. Madan, J. C. Owings

pp. 25-44

A case is made for supposing that the total probability accounted for in a decision analysis is less than unity. This is done by constructing a measure on the set of all codes for computable functions in such a way that the measure of every effectively accountable subset is bounded by a number β<1. The consistency of these measures with the Savage axioms for rational preference is established. Implications for applied decision theory are outlined.

Publication details

DOI: 10.1007/BF00873273

Full citation:

Madan, D. B. , Owings, J. C. (1988). Decision theory with complex uncertainties. Synthese 75 (1), pp. 25-44.

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