Package org.processmining.models.graphbased.directed.petrinet

Interface StochasticNet

All Superinterfaces:

org.processmining.models.graphbased.AttributeMapOwner, java.lang.Cloneable, java.lang.Comparable<org.processmining.models.graphbased.directed.DirectedGraph<org.processmining.models.graphbased.directed.petrinet.PetrinetNode,org.processmining.models.graphbased.directed.petrinet.PetrinetEdge<? extends org.processmining.models.graphbased.directed.petrinet.PetrinetNode,? extends org.processmining.models.graphbased.directed.petrinet.PetrinetNode>>>, org.processmining.models.graphbased.directed.DirectedGraph<org.processmining.models.graphbased.directed.petrinet.PetrinetNode,org.processmining.models.graphbased.directed.petrinet.PetrinetEdge<? extends org.processmining.models.graphbased.directed.petrinet.PetrinetNode,? extends org.processmining.models.graphbased.directed.petrinet.PetrinetNode>>, org.processmining.models.graphbased.directed.DirectedGraphElement, org.processmining.models.graphbased.directed.petrinet.Petrinet, org.processmining.models.graphbased.directed.petrinet.PetrinetGraph, org.processmining.models.graphbased.directed.petrinet.ResetNet

All Known Implementing Classes:

StochasticNetImpl

public interface StochasticNet
extends org.processmining.models.graphbased.directed.petrinet.ResetNet, org.processmining.models.graphbased.directed.petrinet.Petrinet

"stochastic Petri net" = Petri net with annotated stochastic information. Orientation after GSPN formalism with immediate transitions and timed transitions.

Transitions have priority (only transitions with highest priority can fire when enabled).

Transitions have a weight, if multiple immediate transitions are enabled concurrently, a probabilistic choice is made based on their weights, to decide which one can fire first.

Timed transitions can have arbitrary distributions. See supported StochasticNet.DistributionTypes.

Author:

Andreas Rogge-Solti

Nested Class Summary

Nested Classes

Modifier and Type	Interface	Description
static class	StochasticNet.DistributionType	Supported parametric and non-parametric distributions
static class	StochasticNet.ExecutionPolicy	Execution policy of the network.
static class	StochasticNet.TimeUnit	Enumeration specifying in which time unit the parameters of the net are given.

Field Summary

Fields

Modifier and Type	Field	Description
static java.lang.String	PARAMETER_LABEL

Method Summary

Modifier and Type	Method	Description
TimedTransition	addImmediateTransition(java.lang.String label)
TimedTransition	addImmediateTransition(java.lang.String label, double weight)
TimedTransition	addImmediateTransition(java.lang.String label, double weight, int priority, java.lang.String trainingData)
TimedTransition	addTimedTransition(java.lang.String label, double weight, StochasticNet.DistributionType type, double... distributionParameters)
TimedTransition	addTimedTransition(java.lang.String label, double weight, StochasticNet.DistributionType type, java.lang.String trainingData, double... distributionParameters)
TimedTransition	addTimedTransition(java.lang.String label, StochasticNet.DistributionType type, double... distributionParameters)
StochasticNet.ExecutionPolicy	getExecutionPolicy()	Returns the execution policy (see StochasticNet.ExecutionPolicy) of the net.
StochasticNet.TimeUnit	getTimeUnit()	The time unit used in the stochastic net
void	setExecutionPolicy(StochasticNet.ExecutionPolicy policy)	Sets the execution policy of the net.
void	setTimeUnit(StochasticNet.TimeUnit timeUnit)	Sets the time unit of the net

Methods inherited from interface org.processmining.models.graphbased.AttributeMapOwner

getAttributeMap

Methods inherited from interface java.lang.Comparable

compareTo

Methods inherited from interface org.processmining.models.graphbased.directed.DirectedGraph

getEdges, getInEdges, getNodes, getOutEdges, removeEdge, removeNode

Methods inherited from interface org.processmining.models.graphbased.directed.DirectedGraphElement

equals, getGraph, hashCode

Methods inherited from interface org.processmining.models.graphbased.directed.petrinet.PetrinetGraph

addArc, addArc, addArc, addArc, addArc, addArc, addArc, addArc, addGroup, addGroup, addPlace, addPlace, addTransition, addTransition, getArc, getGroups, getLabel, getPlaces, getTransitions, removeArc, removeGroup, removePlace, removeTransition

Methods inherited from interface org.processmining.models.graphbased.directed.petrinet.ResetNet

addResetArc, addResetArc, addResetArc, addResetArc, getResetArc, removeResetArc

Field Detail

PARAMETER_LABEL

static final java.lang.String PARAMETER_LABEL

See Also:

Constant Field Values

Method Detail

getExecutionPolicy

StochasticNet.ExecutionPolicy getExecutionPolicy()

Returns the execution policy (see StochasticNet.ExecutionPolicy) of the net.

Returns:

StochasticNet.ExecutionPolicy

setExecutionPolicy

void setExecutionPolicy(StochasticNet.ExecutionPolicy policy)

Sets the execution policy of the net.

Parameters:

policy - StochasticNet.ExecutionPolicy

getTimeUnit

StochasticNet.TimeUnit getTimeUnit()

The time unit used in the stochastic net

Returns:

StochasticNet.TimeUnit

setTimeUnit

void setTimeUnit(StochasticNet.TimeUnit timeUnit)

Sets the time unit of the net

Parameters:

timeUnit - StochasticNet.TimeUnit

addImmediateTransition

TimedTransition addImmediateTransition(java.lang.String label)

addImmediateTransition

TimedTransition addImmediateTransition(java.lang.String label,
                                       double weight)

addImmediateTransition

TimedTransition addImmediateTransition(java.lang.String label,
                                       double weight,
                                       int priority,
                                       java.lang.String trainingData)

addTimedTransition

TimedTransition addTimedTransition(java.lang.String label,
                                   StochasticNet.DistributionType type,
                                   double... distributionParameters)

addTimedTransition

TimedTransition addTimedTransition(java.lang.String label,
                                   double weight,
                                   StochasticNet.DistributionType type,
                                   double... distributionParameters)

addTimedTransition

TimedTransition addTimedTransition(java.lang.String label,
                                   double weight,
                                   StochasticNet.DistributionType type,
                                   java.lang.String trainingData,
                                   double... distributionParameters)