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- Decision theory
- Bayesian probability
- Expected utility hypothesis
- Game theory
- Completeness (statistics)
- Admissible decision rule
- Causal decision theory
- Choice modelling
- Evidential decision theory
- Optimal decision
- Cox's theorem
- Bayesian brain
- Bayesian inference
- Maximum entropy thermodynamics
- Dempster–Shafer theory
- Bayes' theorem
- Minimax
- Multi-agent system
- K-server problem
- Yao's principle
- Axiom of choice
- Artificial intelligence
- Quantum game theory
- Coherence (philosophical gambling strategy)
- Measurable function
- Bayes estimator
- Newcomb's paradox
- Prior probability
- Rank reversals in decision making
- Multicriteria classification
- Principle of maximum entropy
- Maximum entropy probability distribution
- Expected value
- Bayesian search theory
- Naive Bayes classifier
- Approximate Bayesian computation
- Bayes factor
- Bayesian network
- Information theory
- Minimum message length
- Minimum description length
- Robust Bayes analysis
- Distributed artificial intelligence
- Weighted product model
- Weighted sum model
- Recursive Bayesian estimation
- Inductive inference
- Kolmogorov complexity
- Hidden Markov model
- Kalman filter
- Algorithmic probability
- Algorithmic information theory
- Markov model
- Markov property
- Markov process
- Statistics
- Utility
- Conditional probability
- Probability distribution
- Probability theory
- Random variable
- Machine learning
- Probability
- Likelihood function
- Normal distribution