Rai a, H. (1968). Decision Analysis. The McGraw-Hill Companies. Home/Search Document Not in Database Summary Related Articles Check |
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Satisficing Equilibria - A Non-Classical Theory of Games.. - Stirling, Goodrich, al. (2000) (Correct)
....maximizes this di erence is the admissible set al..l others are rejected. A key feature of this procedure is that the admissible set is generally not a singleton. 4 Informational value, as used in this context, is distinct from the notion of value of information of conventional decision theory (Rai a, 1968), which deals with the change in expected utility that obtains if uncertainty is reduced or eliminated from a decision problem. aamasrev.tex; 15 06 2000; 12:55; p.7 8 Stirling, Goodrich, Packard 2.3. Satisficing Equilibria Following the tradition in economics and epistemology, we de ne a satis ....
Rai a, H.: 1968, Decision Analysis. Reading, MA: Addison-Wesley.
Value-Function Approximations for Partially Observable Markov.. - Hauskrecht (2000) (43 citations) (Correct)
....For example, for the nite horizon problem, only a nite number of belief states can be reached from a given initial state. In this case it is very often easier to enumerate all possible histories (sequences of actions and observations) and represent the problem using stochastic decision trees (Rai a, 1970). An example of a two step decision tree is shown in Figure 9. The algorithm for solving the stochastic decision tree basically mimics value function updates, but is restricted only to situations that can be reached from the initial belief state. The key diculty here is that the number of all ....
Rai a, H. (1970). Decision analysis. Introductory lectures on choices under uncertainty. Addison-Wesley.
A Tool for Qualitatively Testing, Quantitatively Measuring, .. - Köbberling, Wakker (Correct)
....A central topic of debate in decision theory is the normative status of expected utility. Expected utility provides a general framework for decisions under uncertainty and was considered normative by its early contributors (Ramsey 1931, de Finetti 1937, von Neumann Morgenstern 1944, Savage 1954, Raia 1968). Many opposed to such a normative status (Allais 1953, Ellsberg 1961, Machina 1982, Loomes Sugden 1982, Schmeidler 1989) The debate usually centers around the plausibility of the belonging preference axioms. Such axioms are also central in descriptive investigations. Most empirical ....
Raia, Howard (1968), "Decision Analysis" Addison-Wesley, London.
Reasoning with Partial Preference Models - Ha (2000) (Correct)
....we henceforth refer to collectively as decision science, have had a major impact in a number of disciplines. Decision theory provides a unified theory for statistical inferences [50] mathematical foundations for micro economics [48] Recent advances in decision analysis over the past thirty years [36, 23, 49] have been applied to solve practical problems in fields as diversed as public policy, finance. In spite of these successes, the tools and techniques of decision science have 3 not proven fully adequate for building automated decision making systems in general, and patient centered medical ....
....decision analysis has grown into an established academic and professional discipline. It has developed a number of powerful ideas and techniques to help people and organizations analyze and solve decision problems. Among the major advances of decision analysis are the following. Decision trees [36], a tool for structuring complex decision problems that contain many sequential actions with uncertain outcomes. Influence diagrams [18] a tool that provides a compact representation for decision trees. Enhanced with the recent advances in Bayesian networks [34] influence diagrams now ....
H. Rai#a. Decision Analysis. Addison-Wesley, Reading,MA, 1968.
Current Tools for Assisting Intelligent Agents in Real-time.. - Younes (1998) (Correct)
....utility of each alternative available in the problem. If the decision problem has been modeled as a decision tree this is a fairly straightforward process, and can be accomplished with a 10 CHAPTER 2. DECISION ANALYSIS dynamic programming algorithm called averaging out and folding back [ Rai#a, 1968 ] For influence diagrams, there are several approaches to calculating expected utilities. Influence diagrams were first introduced in [ Howard and Matheson, 1984 ] and there a method for deriving a decision tree from an influence diagram is presented. The decision tree can then be solved with ....
Howard Rai#a. Decision Analysis. Addison-Wesley, Reading, Mass., 1968.
Representing Decision Problems Involving Time - Broe Cs Auc (2003) (Correct)
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Rai a, H. (1968). Decision Analysis. The McGraw-Hill Companies.
A Computational Theory of Decision Networks - Zhang (1994) (10 citations) (Correct)
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H. Rai#a, (1968), Decision Analysis, Addison-Wesley, Reading, Mass.
Situational Altruism: Making Conditional Commitments - Archibald, Frost, Stirling (Correct)
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H. Rai#a. Decision Analysis. Addison-Wesley, Reading, MA, 1968.
Policy Reversals In Risk Management: The Effect Of Refined Analyses - Hild (2001) (Correct)
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H. Rai#a. Decision Analysis. Addison--Wesley, Reading, 1968.
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