GeNIe Modeler - User's Manual - Version 5.0.R2 - Built on 11/23/2024

Nov 4, 2026

Uploaded by Muffet

GeNIe Modeler User's Manual (Version 5.0.R2) describes decision-theoretic modeling concepts and how to work with the GeNIe Modeler interface. It introduces the manual structure, then covers core topics such as decision analysis, probability, utility, Bayesian networks, influence diagrams, dynamic Bayesian networks, Bayesian updating, and solving decision models. It also explains GeNIe workspace elements like menu bar, graph and tree views, status bar, case manager, output window, and model components, including node types, canonical models, utility nodes, sub-models, and arcs.

LanguageEnglish

CategoryTechnology

FormatPDF

Pages682

Reading Time28 h 39 min

AccessFree to download

Read me first

Hello GeNIe!

Introduction

Guide to GeNIe manual

GeNIe Modeler

QGeNIe

SMILE Engine

Embedding decision-theoretic methodology into custom software

BayesBox

GeNIe on a Mac

GeNIe on Linux

Non-Latin alphabets in GeNIe

Disclaimer

Acknowledgments

Decision-theoretic modeling

Decision analysis

Discrete and continuous variables

Probability

Utility

Bayesian networks

Influence diagrams

Dynamic Bayesian networks

Bayesian updating

Solving decision models

Changes in structure

Decision support systems

Computational complexity

Building blocks of GeNIe

Introduction

GeNIe workspace

Components of GeNIe models

GeNIe Modeler User's Manual Version 5.0.R2, Built on 11/23/2024 BayesFusion, LLC This page is intentionally left blank. Table of Contents 3 1. Read me first 9 2. Hello GeNIe! 11 3. Introduction 29 3.1 Guide to GeNIe manual .............................................................................................. 30 3.2 GeNIe Modeler .......................................................................................................... 31 3.3 QGeNIe ...................................................................................................................... 32 3.4 SMILE Engine ............................................................................................................. 33 3.5 Embedding decision-theoretic methodology into custom software ............................ 34 3.6 BayesBox ................................................................................................................... 36 3.7 Distribution information ............................................................................................ 37 3.8 GeNIe on a Mac ......................................................................................................... 40 3.9 GeNIe on Linux .......................................................................................................... 42 3.10 Non-Latin alphabets in GeNIe .................................................................................... 43 3.11 Copyright notice ........................................................................................................ 44 3.12 Disclaimer .................................................................................................................. 45 3.13 Acknowledgments ..................................................................................................... 46 4. Decision-theoretic modeling 49 4.1 Decision analysis ........................................................................................................ 50 4.2 Discrete and continuous variables .............................................................................. 51 4.3 Probability ................................................................................................................. 52 4.4 Utility ........................................................................................................................ 54 4.5 Bayesian networks ..................................................................................................... 55 4.6 Influence diagrams .................................................................................................... 65 4.7 Dynamic Bayesian networks ...................................................................................... 67 4.8 Bayesian updating ..................................................................................................... 70 4.9 Solving decision models ............................................................................................. 71 4.10 Changes in structure .................................................................................................. 72 4.11 Decision support systems .......................................................................................... 73 4.12 Computational complexity ......................................................................................... 76 5. Building blocks of GeNIe 77 5.1 Introduction .............................................................................................................. 78 5.2 GeNIe workspace ....................................................................................................... 79 GeNIe Modeler Version 5.0.R2, Built on 11/23/2024 Table of Contents 4 5.2. 1 Introduction ................................................................................................................ 79 5.2.2 The menu bar ................

FAQs

What topics are covered in the manual’s decision-theoretic modeling section?

It covers decision analysis, probability and utility, Bayesian networks, influence diagrams, dynamic Bayesian networks, Bayesian updating, and how to solve decision models, including changes in structure and computational complexity.

How does the manual organize the GeNIe workspace features?

It explains the workspace through elements such as the menu bar, graph view, tree view, status bar, case manager, and the output window, along with related help options.

What are the model components described for building GeNIe models?

It outlines node types and canonical models (including Noisy-MAX and Noisy-Adder), multi-attribute utility nodes, sub-models, and arcs as key building blocks.

Nov 4, 2026

Uploaded by Muffet