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ATAL
2004
Springer
14 years 27 days ago
Approximate Solutions for Partially Observable Stochastic Games with Common Payoffs
Partially observable decentralized decision making in robot teams is fundamentally different from decision making in fully observable problems. Team members cannot simply apply si...
Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jef...
IPMU
2010
Springer
14 years 8 days ago
A New Adaptive Consensus Reaching Process Based on the Experts' Importance
Usually, in a group decision context, the importance level, confidence degree and amount of knowledge are very different among individuals. So, when all the individuals have to r...
Ignacio J. Pérez, Francisco Javier Cabreriz...
CONSTRAINTS
2006
70views more  CONSTRAINTS 2006»
13 years 7 months ago
Stochastic Constraint Programming: A Scenario-Based Approach
To model combinatorial decision problems involving uncertainty and probability, we introduce scenario based stochastic constraint programming. Stochastic constraint programs conta...
Armagan Tarim, Suresh Manandhar, Toby Walsh
MANSCI
2010
92views more  MANSCI 2010»
13 years 6 months ago
A Quantitative Measurement of Regret Theory
This paper introduces a choice-based method that for the first time makes it possible to quantitatively measure regret theory, one of the most popular models of decision under unc...
Han Bleichrodt, Alessandra Cillo, Enrico Diecidue
HICSS
2009
IEEE
128views Biometrics» more  HICSS 2009»
13 years 11 months ago
Cyber Security Risks Assessment with Bayesian Defense Graphs and Architectural Models
To facilitate rational decision making regarding cyber security investments, decision makers need to be able to assess expected losses before and after potential investments. This...
Teodor Sommestad, Mathias Ekstedt, Pontus Johnson