Results 1 to 10 of about 149 (112)
DE-RALBA: dynamic enhanced resource aware load balancing algorithm for cloud computing [PDF]
Cloud computing provides an opportunity to gain access to the large-scale and high-speed resources without establishing your own computing infrastructure for executing the high-performance computing (HPC) applications.
Altaf Hussain +3 more
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Dynamically consistent alpha‐maxmin expected utility [PDF]
AbstractThe alpha‐maxmin model is a prominent example of preferences under Knightian uncertainty as it allows to distinguish ambiguity and ambiguity attitude. These preferences are dynamically inconsistent for nontrivial versions of alpha. In this paper, we derive a recursive, dynamically consistent version of the alpha‐maxmin model.
Beißner, Patrick +2 more
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Optimal insurance under maxmin expected utility [PDF]
We examine a problem of demand for insurance indemnification, when the insured is sensitive to ambiguity and behaves according to the Maxmin-Expected Utility model of Gilboa and Schmeidler (1989), whereas the insurer is a (risk-averse or risk-neutral) Expected-Utility maximizer.
Birghila, Corina +2 more
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Maxmin expected utility with non-unique prior [PDF]
An axiomatic foundation of the maxmin expected utility decision rule is proposed here. The main difference among the model of \textit{F. J. Anscombe} and \textit{R. J. Aumann} [Ann. Math. Stat. 34, 199--205 (1963; Zbl 0114.07204)] and the present one lies in the phrasing of the independence axiom. Uncertainty aversion is additionally assumed.
Gilboa, Itzhak, Schmeidler, David
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Solving the Datum Search as a Partially Observed Stochastic Game
The Flaming Datum (FD) problem refers to the search for a hostile Evader that is fleeing after momentarily revealing its position. If Evader’s direction is fixed but unknown, while its maximal speed is known, Koopman argued in 1980 that the best ...
Branko Ristic +4 more
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Optimal allocations with α‐MaxMin utilities, Choquet expected utilities, and prospect theory
The analysis of optimal risk sharing has been thus far largely restricted to nonexpected utility models with concave utility functions, where concavity is an expression of ambiguity aversion and/or risk aversion. This paper extends the analysis to α‐maxmin expected utility, Choquet expected utility, and cumulative prospect theory, which ...
Beißner, Patrick, Werner, Jan
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Unifying View on Min-Max Fairness, Max-Min Fairness, and Utility Optimization in Cellular Networks
We are concerned with the control of quality of service (QoS) in wireless cellular networks utilizing linear receivers. We investigate the issues of fairness and total performance, which are measured by a utility function in the form of a weighted sum ...
Stanczak Slawomir +2 more
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Modeling rational decisions in ambiguous situations: a multi-valued logic approach
If a decision context is completely precise, making good decisions is relatively easy. In the presence of ambiguity, rational decision-making is incomparably more challenging.
Olga Metzger, Thomas Spengler
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Ambiguous events and maxmin expected utility
We study the properties associated to various definitions of ambiguity ([8], [9], [18] and [23]) in the context of Maximin Expected Utility (MEU). We show that each definition of unambiguous events produces certain restrictions on the set of priors, and completely characterize each definition in terms of the properties it imposes on the MEU functional.
Amarante, Massimiliano, Filiz, Emel
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Maxmin expected utility in Savage's framework
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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