Reward versus Risk in uncertain Inference: theorems and simulations.
Gerhard SchurzPaul D. ThornPublished in: Rev. Symb. Log. (2012)
Keyphrases
- decision making
- reinforcement learning
- possibilistic networks
- risk management
- inference engine
- numerical simulations
- bayesian networks
- incomplete information
- simulation model
- bayesian inference
- risk measures
- long run
- simulation environment
- high risk
- neural network
- first order logic
- minimum risk
- partially observed
- inference process
- early warning
- possibility theory
- expected utility
- dynamic bayesian networks
- risk assessment
- data sets
- knowledge base
- belief networks