This document discusses using decision trees to build dynamic rule-based systems in Neo4j. It describes representing rules as nodes connected in a graph structure, with relationships determining the tree's logic flow. An example checks age and gender rules to determine entrance to a bar. Traversal APIs and custom expanders/evaluators are used to dynamically traverse the tree based on input facts. The approach allows complex rulesets to be modeled and evaluated through graph queries and traversal.