SMILE Documentation

From DSL

Table of Contents

1. Introduction
   1. Introduction
   2. Acknowledgements
   3. Decision Analysis
   4. Probabilistic Decision Support System
      1. Probabilistic Decision Support System
      2. Probability
      3. Bayesian Networks
      4. Dynamic Bayesian Networks
      5. Influence Diagrams
   5. Probabilistic Inference in Bayesian Networks
   6. Probabilistic Inference in Influence Diagrams
2. Application Programmers Manual
   1. Error Handling
   2. Naming Convention
   3. Variables and Outcomes
   4. Node Structure
   5. Node Definition
   6. Node Value
   7. Network Structure
   8. Conditional Probability Distributions Implementation Details
   9. Reading & Writing File Formats
   10. Performing Inference with a Network
   11. Relevance Reasoning
   12. Invalidation of Node Values
   13. Value of Information
   14. Brief Introduction to Some Simple Classes
       1. DSL_object
       2. DSL arrays
       3. DSL_Dmatrix
       4. DSL_errorStringHandler
       5. DDSL_valueOfInformation
       6. DSL_sysCoordinates
       7. DSL_nodeInfo
       8. General Copy Functions
       9. Solving Influence Diagrams
       10. Finding the best policy
       11. Some Definitions
3. Reference Manual
   1. DSL_network
   2. DSL_node
   3. DSL_nodeDefinition
   4. DSL_nodeValue
   5. DSL_noisyMAX
   6. DSL_temporalType
   7. Arrays
   8. DSL_header
   9. DSL_creation
   10. DSL_Dmatrix
   11. DLS_sysCoordinates
   12. DSL_valueOfInformation
   13. DSL_errorStringHandler
4. SMILE Diagnostic
   1. Introduction
      1. Introduction
      2. DSL_extraDefinition
      3. DIAG_network
   2. Reference Manual
      1. DSL_extraDefinition
      2. DIAG_network
      3. DSL_caseLibrary
5. Tutorials
   1. Introduction
   2. Tutorial 1: Creating a Bayesian Network
   3. Tutorial 2: Performing Inference with a Bayesian Network
   4. Tutorial 3: Building an Influence Diagram
   5. Tutorial 4: Performing Inference in Influence Diagrams
   6. Tutorial 5: Computing Value of Information
6. Appendices
   1. Tutorials Code
      1. Main Program
      2. Tutorial 1: Creating a Bayesian Network
      3. Tutorial 2: Performing Inference with a Bayesian Network
      4. Tutorial 3: Building an Influence Diagram
      5. Tutorial 4: Performing Inference in Influence Diagrams
      6. Tutorial 5: Computing Value of Information
   2. Converting NoisyOR/AND Nodes to NoisyMAX
   3. SMILE Constants
   4. XDSL File Format - XML Schema Definitions
   5. References