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» Rational Decision Making With Imprecise Probabilities
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AI
2010
Springer
13 years 1 months ago
Robust solutions to Stackelberg games: Addressing bounded rationality and limited observations in human cognition
How do we build algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human interaction, such...
James Pita, Manish Jain, Milind Tambe, Fernando Or...
ISIPTA
2005
IEEE
115views Mathematics» more  ISIPTA 2005»
13 years 10 months ago
Powerful algorithms for decision making under partial prior information and general ambiguity attitudes
This paper discusses decision making in the practically important situation where only partial prior information on the stochastic behavior of the states of nature expressed by im...
Lev V. Utkin, Thomas Augustin
FSS
2011
93views more  FSS 2011»
12 years 12 months ago
Upper and lower probabilities induced by a fuzzy random variable
We review two existing interpretations of fuzzy random variables. In the first one, the fuzzy random variable is viewed as a linguistic random variable. In the second case, it re...
Inés Couso, Luciano Sánchez
FLAIRS
2007
13 years 7 months ago
Structure Information in Decision Trees and Similar Formalisms
In attempting to address real-life decision problems, where uncertainty about input data prevails, some kind of representation of imprecise information is important and several ha...
Mats Danielson, Love Ekenberg, David Sundgren
ISIPTA
2003
IEEE
13 years 10 months ago
How to Deal with Partially Analyzed Acts? A Proposal
In some situations, a decision is best represented by an incompletely analyzed act: conditionally to a certain event, the consequences of the decision on sub-events are perfectly ...
Jean-Yves Jaffray, Meglena Jeleva