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Decision theory - Wikipedia, the free encyclopedia
Decision theory in mathematics and statistics is concerned with identifying the values, uncertainties and other issues relevant in a given decision and the resulting optimal decision. It is very clos...
en.wikipedia.org/wiki/Decision_theory |
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This course is a non-credit seminar in decision making under uncertainty. The intent is to provide students in a variety of disciplines with exposure to many of the basic models and algorithms and techniques for decision making under uncertainty in "modern AI".
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Given the effects observed above, Kahneman and Tversky designed a new theory of decision-making under risk, which they named prospect theory. Prospect theory differs ... Decision-Making Under Uncertainty - Advanced Topics ... Handbook > Decision-Making Under Uncertainty > Advanced Topics > Prospect Theory - Introduction...
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Kent Holsinger 2009-11-17 ... The Framework of Statistical Decision Theory ... Decision Trees...
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The main objective of this workshop is to set up a dialogue between Industry and Academia about modeling issues and the supporting mathematical methodology that would be useful to deal with uncertainty in decision making. ... Optimal Control of an Oilfield Reservoir under Uncertainty...
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Ventromedial prefrontal cortex (VMF) is thought to be important in human decision making, but studies to date have focused on decision making under conditions of uncertainty, including risky or ambiguous decisions.
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Basic Concepts: A beginner's guide to Expected Utility theory ; ... Advanced Topics: Extensions of Expected Utility theory, and alternatives to it ; ... Experimental Discussion: Various experiments that have been conducted in the field;
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