Two Procedures for Compiling Influence Diagrams
Paul E. Lehner, Azar Sadigh

TL;DR
This paper introduces two algorithms that convert influence diagrams into simple decision rules, enabling quick, consistent, and near-optimal decision-making suitable for time-constrained human teams.
Contribution
The paper presents novel algorithms for compiling influence diagrams into decision rules, facilitating efficient decision procedures for complex, time-sensitive problems.
Findings
Algorithms produce simple, complete decision rules
Rules are near-optimal in decision quality
Applicable to human teams in time-constrained scenarios
Abstract
Two algorithms are presented for "compiling" influence diagrams into a set of simple decision rules. These decision rules define simple-to-execute, complete, consistent, and near-optimal decision procedures. These compilation algorithms can be used to derive decision procedures for human teams solving time constrained decision problems.
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Taxonomy
TopicsBayesian Modeling and Causal Inference · Complex Systems and Decision Making · AI-based Problem Solving and Planning
