Module influence 

Influence diagrams (decision networks) for decision-making under uncertainty.

This module provides support for influence diagrams, which extend Bayesian networks with decision nodes and utility nodes to model sequential decision problems.

Node Types

• Chance nodes: Random variables with probability distributions
• Decision nodes: Variables under the control of the decision maker
• Utility nodes: Represent the value/utility of outcomes

Structs

InfluenceDiagram

Influence diagram for decision-making under uncertainty.

InfluenceDiagramBuilder

Builder for influence diagrams with fluent API.

InfluenceNode

Node in an influence diagram.

MultiAttributeUtility

Multi-attribute utility theory (MAUT) for combining multiple utility functions.

Enums

NodeType

Type of node in an influence diagram.