Influence Diagram and LIMIDS

An influence diagram is a compact graphical and mathematical representation of a decision situation. It is a generalization of a Bayesian network, in which not only probabilistic inference problems but also decision making problems (following the maximum expected utility criterion) can be modeled and solved. It includes 3 types of nodes : action, decision and utility nodes (from wikipedia).

PyAgrum’s so-called influence diagram represents both influence diagrams and LIMIDs. The way to enforce that such a model represent an influence diagram and not a LIMID belongs to the inference engine.

Tutorial

• Tutorial on Influence Diagram

Reference

• Model for Decision in PGM
  • InfluenceDiagram
    • InfluenceDiagram.add()
    • InfluenceDiagram.addArc()
    • InfluenceDiagram.addArcs()
    • InfluenceDiagram.addChanceNode()
    • InfluenceDiagram.addDecisionNode()
    • InfluenceDiagram.addStructureListener()
    • InfluenceDiagram.addUtilityNode()
    • InfluenceDiagram.addVariables()
    • InfluenceDiagram.adjacencyMatrix()
    • InfluenceDiagram.ancestors()
    • InfluenceDiagram.arcs()
    • InfluenceDiagram.beginTopologyTransformation()
    • InfluenceDiagram.chanceNodeSize()
    • InfluenceDiagram.changeVariableName()
    • InfluenceDiagram.children()
    • InfluenceDiagram.clear()
    • InfluenceDiagram.completeInstantiation()
    • InfluenceDiagram.connectedComponents()
    • InfluenceDiagram.cpt()
    • InfluenceDiagram.dag()
    • InfluenceDiagram.decisionNodeSize()
    • InfluenceDiagram.decisionOrder()
    • InfluenceDiagram.decisionOrderExists()
    • InfluenceDiagram.descendants()
    • InfluenceDiagram.empty()
    • InfluenceDiagram.endTopologyTransformation()
    • InfluenceDiagram.erase()
    • InfluenceDiagram.eraseArc()
    • InfluenceDiagram.exists()
    • InfluenceDiagram.existsArc()
    • InfluenceDiagram.existsPathBetween()
    • InfluenceDiagram.family()
    • InfluenceDiagram.fastPrototype()
    • InfluenceDiagram.getDecisionGraph()
    • InfluenceDiagram.hasSameStructure()
    • InfluenceDiagram.idFromName()
    • InfluenceDiagram.ids()
    • InfluenceDiagram.isChanceNode()
    • InfluenceDiagram.isDecisionNode()
    • InfluenceDiagram.isIndependent()
    • InfluenceDiagram.isUtilityNode()
    • InfluenceDiagram.loadBIFXML()
    • InfluenceDiagram.log10DomainSize()
    • InfluenceDiagram.moralGraph()
    • InfluenceDiagram.moralizedAncestralGraph()
    • InfluenceDiagram.names()
    • InfluenceDiagram.nodeId()
    • InfluenceDiagram.nodes()
    • InfluenceDiagram.nodeset()
    • InfluenceDiagram.parents()
    • InfluenceDiagram.properties()
    • InfluenceDiagram.saveBIFXML()
    • InfluenceDiagram.size()
    • InfluenceDiagram.sizeArcs()
    • InfluenceDiagram.thisown
    • InfluenceDiagram.toDot()
    • InfluenceDiagram.toFast()
    • InfluenceDiagram.topologicalOrder()
    • InfluenceDiagram.utility()
    • InfluenceDiagram.utilityNodeSize()
    • InfluenceDiagram.variable()
    • InfluenceDiagram.variableFromName()
    • InfluenceDiagram.variableNodeMap()
• Inference for Influence Diagram
  • ShaferShenoyLIMIDInference
    • ShaferShenoyLIMIDInference.MEU()
    • ShaferShenoyLIMIDInference.addEvidence()
    • ShaferShenoyLIMIDInference.addNoForgettingAssumption()
    • ShaferShenoyLIMIDInference.chgEvidence()
    • ShaferShenoyLIMIDInference.clear()
    • ShaferShenoyLIMIDInference.eraseAllEvidence()
    • ShaferShenoyLIMIDInference.eraseEvidence()
    • ShaferShenoyLIMIDInference.hardEvidenceNodes()
    • ShaferShenoyLIMIDInference.hasEvidence()
    • ShaferShenoyLIMIDInference.hasHardEvidence()
    • ShaferShenoyLIMIDInference.hasNoForgettingAssumption()
    • ShaferShenoyLIMIDInference.hasSoftEvidence()
    • ShaferShenoyLIMIDInference.influenceDiagram()
    • ShaferShenoyLIMIDInference.isSolvable()
    • ShaferShenoyLIMIDInference.junctionTree()
    • ShaferShenoyLIMIDInference.makeInference()
    • ShaferShenoyLIMIDInference.meanVar()
    • ShaferShenoyLIMIDInference.nbrEvidence()
    • ShaferShenoyLIMIDInference.nbrHardEvidence()
    • ShaferShenoyLIMIDInference.nbrSoftEvidence()
    • ShaferShenoyLIMIDInference.optimalDecision()
    • ShaferShenoyLIMIDInference.posterior()
    • ShaferShenoyLIMIDInference.posteriorUtility()
    • ShaferShenoyLIMIDInference.reducedGraph()
    • ShaferShenoyLIMIDInference.reducedLIMID()
    • ShaferShenoyLIMIDInference.reversePartialOrder()
    • ShaferShenoyLIMIDInference.setEvidence()
    • ShaferShenoyLIMIDInference.softEvidenceNodes()
    • ShaferShenoyLIMIDInference.updateEvidence()