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Theory of Decision under Uncertainty

Abstract : This book describes the classical axiomatic theories of decision under uncertainty, as well as critiques thereof and alternative theories. It focuses on the meaning of probability, discussing some definitions and surveying their scope of applicability. The behavioral definition of subjective probability serves as a way to present the classical theories, culminating in Savage's theorem. The limitations of this result as a definition of probability lead to two directions - first, similar behavioral definitions of more general theories, such as non-additive probabilities and multiple priors, and second, cognitive derivations based on case-based techniques.
Keywords : decision theory
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Contributor : Antoine Haldemann Connect in order to contact the contributor
Submitted on : Thursday, June 24, 2010 - 9:19:25 AM
Last modification on : Thursday, January 11, 2018 - 6:19:31 AM


  • HAL Id : hal-00494887, version 1



Itzhak Gilboa. Theory of Decision under Uncertainty. NC. Cambridge University Press, 230 p., 2009. ⟨hal-00494887⟩



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