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AI & MLRecommendedAIML-AIF-010

Decision Networks and the Value of Information

Bayes nets with decision and utility nodes, and the price one should pay to observe a variable before acting.

Difficulty
4 / 5
Importance
4 / 5
Study time
1–2 h
Kind of work
Mixed

Why it matters

The learner can compute the value of perfect information for one observation in a small decision network.

The route to this topic

Route AIML-AIF-010
Natural Numbers What Is a Model? Rational Agents and Task Environments Variables & Constants Features and Targets Solving Linear Equations Function Notation & Composition Linear Regression I: Prediction and Residuals Complex Numbers Loss and Fitting: Squared Error Basic Ratios Unit Circle Objective Functions and Empirical Risk Polynomial Functions Likelihood Intuitive Limits Continuity Definition of the Derivative Differentiation Rules Bayesian Reasoning Chain Rule Antiderivatives & Indefinite Integrals Derivatives of Transcendental Functions Riemann Sums & Definite Integral Fundamental Theorem of Calculus Integration by Parts Sample Spaces & Events Conditional Probability & Independence Random Variables & Distributions Expectation & Variance Bayesian Networks Utility and Rational Decisions Decision Networks and the Value of Information