Information Theory Meets Expected Utility: The Entropic Roots of Probability Weighting Functions.
Mikaela AkreniusPublished in: CogSci (2020)
Keyphrases
- information theory
- expected utility
- weighting functions
- conditional entropy
- subjective probabilities
- information theoretic
- utility function
- decision theoretic
- decision theory
- decision makers
- cost function
- probability distribution
- pareto optimal
- optimal strategy
- term weighting
- belief functions
- control parameters
- influence diagrams
- regularization term
- conditional probabilities
- artificial intelligence
- machine learning
- belief state
- probabilistic model
- cooperative
- image processing
- computer vision