TwoStageDynamicBayesianNetwork (2DBN) is a class that represents the transition and observation model for a factored MADP. More...

#include <TwoStageDynamicBayesianNetwork.h>

Public Member Functions
void	AddCPDForO (Index o)
	Add a CPD for an observation o. More...

void	AddCPDForY (Index y)
	Add a CPD for a NS SF y. More...

Scope	AgentScopeBackup (const Scope &stateScope, const Scope &agentScope) const
	Get the agent actions that are a ancestor of the arguments. More...

size_t	GetAiiSize_O (Index oI) const
	returns the nr instantiations of ASoI(o) More...

size_t	GetAiiSize_Y (Index yI) const
	returns the nr instantiations of ASoI(y) More...

const Scope &	GetASoI_O (Index o) const

const Scope &	GetASoI_Y (Index y) const

CPDDiscreteInterface *	GetCPD_O (Index oI)
	Set the CPDDiscreteInterface for O. More...

CPDDiscreteInterface *	GetCPD_Y (Index yI)

size_t	GetiiSize_O (Index oI) const
	returns the total number of IIs More...

size_t	GetiiSize_Y (Index yI) const
	returns the total number of IIs More...

const std::vector< size_t > &	GetNrVals_ASoI_O (Index oI) const
	returns the number of values for all actions in ASoI(o) More...

const std::vector< size_t > &	GetNrVals_ASoI_Y (Index yI) const
	returns the number of values for all actions in XSoI(y) More...

const std::vector< size_t > &	GetNrVals_OSoI_O (Index oI) const
	returns the number of values for all state factors in OSoI(o) More...

const std::vector< size_t > &	GetNrVals_XSoI_O (Index oI) const
	returns the number of values for all state factors in XSoI(o) More...

const std::vector< size_t > &	GetNrVals_XSoI_Y (Index yI) const
	returns the number of values for all state factors in XSoI(y) More...

const std::vector< size_t > &	GetNrVals_YSoI_O (Index oI) const
	returns the number of values for all state factors in YSoI(o) More...

const std::vector< size_t > &	GetNrVals_YSoI_Y (Index yI) const
	returns the number of values for all state factors in YSoI(y) More...

size_t	GetOiiSize_O (Index oI) const
	returns the nr instantiations of OSoI(o) More...

std::vector< double >	GetOProbabilitiesExactScopes (const std::vector< Index > &Aii, const std::vector< Index > &Yii, const std::vector< Index > &Oii, const Index &oIndex) const
	Get the probability of all possible values of oIndex given II. More...

std::vector< double >	GetOProbabilitiesExactScopes (const std::vector< Index > &Xii, const std::vector< Index > &Aii, const std::vector< Index > &Yii, const std::vector< Index > &Oii, const Index &oIndex) const

double	GetOProbability (const std::vector< Index > &A, const std::vector< Index > &Y, const std::vector< Index > &O) const
	Get the probability of O given A,Y. All std::vectors are full length. More...

double	GetOProbability (const std::vector< Index > &X, const std::vector< Index > &A, const std::vector< Index > &Y, const std::vector< Index > &O) const

const Scope &	GetOSoI_O (Index o) const

size_t	GetXiiSize_O (Index oI) const
	returns the nr instantiations of XSoI(o) More...

size_t	GetXiiSize_Y (Index yI) const
	returns the nr. instantiations of XSoI(y) More...

const Scope &	GetXSoI_O (Index o) const

const Scope &	GetXSoI_Y (Index y) const

size_t	GetYiiSize_O (Index oI) const
	returns the nr instantiations of YSoI(o) More...

size_t	GetYiiSize_Y (Index yI) const
	returns the nr instantiations of YSoI(y) More...

double	GetYOProbability (const Scope &X, const std::vector< Index > &Xs, const Scope &A, const std::vector< Index > &As, const Scope &Y, const std::vector< Index > &Ys, const Scope &O, const std::vector< Index > &Os) const
	Compute the probability P(Ys,Os\|Xs,As) More...

std::vector< double >	GetYProbabilitiesExactScopes (const std::vector< Index > &Xii, const std::vector< Index > &Aii, const std::vector< Index > &Yii, const Index &yIndex) const
	Get the probability of all possible values of yIndex given II. More...

double	GetYProbability (const std::vector< Index > &X, const std::vector< Index > &A, const std::vector< Index > &Y) const
	Get the probability of Y given X,A. All are full-length. More...

double	GetYProbabilityGeneral (const Scope &Xscope, const std::vector< Index > &X, const Scope &Ascope, const std::vector< Index > &A, const Scope &YIIscope, const std::vector< Index > &YII, const Scope &Yscope, const std::vector< Index > &Y) const
	Get the probability of Y given X,A. general version. More...

const Scope &	GetYSoI_O (Index o) const

const Scope &	GetYSoI_Y (Index y) const

Index	IndividualToJointOiiIndices (Index o, const std::vector< Index > &A_rest, const std::vector< Index > &Y_rest, const std::vector< Index > &O_rest) const
	Computes the joint II index for restricted std::vectors As,Ys,Os. More...

Index	IndividualToJointOiiIndices (Index o, const std::vector< Index > &X_rest, const std::vector< Index > &A_rest, const std::vector< Index > &Y_rest, const std::vector< Index > &O_rest) const

Index	IndividualToJointYiiIndices (Index y, const std::vector< Index > &X_rest, const std::vector< Index > &A_rest, const std::vector< Index > &Y_rest) const
	Computes the joint II index for restricted std::vectors Xs,As,Ys. More...

void	InitializeIIs ()
	Computes some administrative things necessary for II functions. More...

void	InitializeStorage ()
	Copy assignment operator. More...

void	JointToIndividualOiiIndices (Index o, Index iiI, std::vector< Index > &A_rest, std::vector< Index > &Y_rest, std::vector< Index > &O_rest) const
	Computes Xs, As, Ys from the joint iiI denoting a II of SoI(o). More...

void	JointToIndividualOiiIndices (Index o, Index iiI, std::vector< Index > &X_rest, std::vector< Index > &A_rest, std::vector< Index > &Y_rest, std::vector< Index > &O_rest) const

void	JointToIndividualYiiIndices (Index y, Index iiI, std::vector< Index > &X_rest, std::vector< Index > &A_rest, std::vector< Index > &Y_rest) const
	Computes Xs, As, Ys from the joint iiI denoting a II of SoI(y). More...

std::vector< Index >	SampleO (const std::vector< Index > &A, const std::vector< Index > &Y) const
	Sample an observation. More...

std::vector< Index >	SampleO (const std::vector< Index > &X, const std::vector< Index > &A, const std::vector< Index > &Y) const
	Sample an observation. More...

std::vector< Index >	SampleY (const std::vector< Index > &X, const std::vector< Index > &A) const
	Sample a NS state. More...

void	ScopeBackup (const Scope &Y, const Scope &X, Scope &Xout, Scope &Aout) const
	Perfom the Stat and Agent Scope backup. More...

void	SetCPD_O (Index oI, CPDDiscreteInterface *cpt)
	Set the CPDDiscreteInterface for O. More...

void	SetCPD_Y (Index yI, CPDDiscreteInterface *cpt)
	Set the CPDDiscreteInterface for Y. More...

void	SetSoI_O (Index o, const Scope &ASoI, const Scope &YSoI, const Scope &OSoI)
	Sets the SoI of an observation o. More...

void	SetSoI_O (Index o, const Scope &XSoI, const Scope &ASoI, const Scope &YSoI, const Scope &OSoI)
	Sets the SoI of an observation o. More...

void	SetSoI_Y (Index y, const Scope &XSoI, const Scope &ASoI, const Scope &YSoI)
	Sets the SoI of a NS SF y. More...

std::string	SoftPrint () const

std::string	SoftPrintSoI_O (Index agI) const

std::string	SoftPrintSoI_Y (Index y) const

Scope	StateScopeBackup (const Scope &stateScope, const Scope &agentScope) const
	Get the state factors that are a ancestor of the arguments. More...

	TwoStageDynamicBayesianNetwork (MultiAgentDecisionProcessDiscreteFactoredStatesInterface &madp)
	(default) Constructor More...

	~TwoStageDynamicBayesianNetwork ()
	Copy constructor. More...

Private Member Functions
void	ComputeWithinNextStageClosure (Scope &Y, Scope &O) const
	Computes the 'closure' of NS variables Y and O. More...

Private Attributes
std::vector< std::vector < Index > * >	_m_A_restr_perO

std::vector< std::vector < Index > * >	_m_A_restr_perY

std::vector< size_t >	_m_Aii_size_O
	For each O we maintain the number of instantiations of ASoI(O) More...

std::vector< size_t >	_m_Aii_size_Y
	For each Y we maintain the number of instantiations of ASoI(Y) More...

std::vector< Scope >	_m_ASoI_O
	For each O we maintain the actions, A, in its SoI. More...

std::vector< Scope >	_m_ASoI_Y
	For each NS SF we maintain the actions, A, in its SoI. More...

bool	_m_ii_initialized
	Boolean that is set when all ii info is initialized. More...

std::vector< size_t >	_m_ii_size_O
	For each y we maintain the number of II's. More...

std::vector< size_t >	_m_ii_size_Y
	For each y we maintain the number of II's. More...

std::vector< Index > *	_m_IndividualToJointOiiIndices_catVector
	Temporary storage used in IndividualToJointOiiIndices. More...

std::vector< Index > *	_m_IndividualToJointYiiIndices_catVector
	Temporary storage used in IndividualToJointYiiIndices. More...

MultiAgentDecisionProcessDiscreteFactoredStatesInterface *	_m_madp
	pointer to a MultiAgentDecisionProcessFactoredStatesInterface More...

size_t	_m_nrO
	the number of observation factors (i.e., the number of agents) More...

std::vector< std::vector < size_t > >	_m_nrVals_ASoI_O
	For each O we maintain the number of actions in ASoI(O) More...

std::vector< std::vector < size_t > >	_m_nrVals_ASoI_Y
	For each NS SF Y we maintain the number of actions in ASoI(Y) More...

std::vector< std::vector < size_t > >	_m_nrVals_OSoI_O
	For each O we maintain the number of observations in OSoI(O) More...

std::vector< std::vector < size_t > >	_m_nrVals_SoI_O
	For each NS SF O we maintain the number of SF values in SoI(O) More...

std::vector< size_t * >	_m_nrVals_SoI_O_stepsize
	Cache the step size for speed. More...

std::vector< std::vector < size_t > >	_m_nrVals_SoI_Y
	For each NS SF Y we maintain the number of SF values in SoI(Y) More...

std::vector< size_t * >	_m_nrVals_SoI_Y_stepsize
	Cache the step size for speed. More...

std::vector< std::vector < size_t > >	_m_nrVals_XSoI_O
	For each O we maintain the number of SF values in XSoI(O) More...

std::vector< std::vector < size_t > >	_m_nrVals_XSoI_Y
	For each NS SF Y we maintain the number of SF values in XSoI(Y) More...

std::vector< std::vector < size_t > >	_m_nrVals_YSoI_O
	For each O we maintain the number of SF values in YSoI(O) More...

std::vector< std::vector < size_t > >	_m_nrVals_YSoI_Y
	For each NS SF Y we maintain the number of SF values in YSoI(Y) More...

size_t	_m_nrY
	the number of state factors More...

std::vector < CPDDiscreteInterface * >	_m_O_CPDs
	For each observation we maintain a CPD. More...

std::vector< std::vector < Index > * >	_m_O_restr_perO

std::vector< size_t >	_m_Oii_size_O
	For each O we maintain the number of instantiations of OSoI(O) More...

std::vector< Scope >	_m_OSoI_O
	For each O we maintain the observations, O, in its SoI. More...

std::vector< size_t > *	_m_SampleNrO
	Temporary storage used in SampleO. More...

std::vector< Index > *	_m_SampleO
	Temporary storage used in SampleO. More...

std::vector< Index > *	_m_SampleY
	Temporary storage used in SampleY. More...

bool	_m_SoIStorageInitialized

std::vector< std::vector < Index > * >	_m_X_restr_perO

std::vector< std::vector < Index > * >	_m_X_restr_perY

std::vector< size_t >	_m_Xii_size_O
	For each O we maintain the number of instantiations of XSoI(O) More...

std::vector< size_t >	_m_Xii_size_Y
	For each Y we maintain the number of instantiations of XSoI(Y) More...

std::vector< Scope >	_m_XSoI_O
	For each O we maintain the PS SFs, X, in its SoI. More...

std::vector< Scope >	_m_XSoI_Y
	For each NS SF we maintain the PS SFs, X, in its SoI. More...

std::vector < CPDDiscreteInterface * >	_m_Y_CPDs
	For each next-stage state variable y we maintain a CPD. More...

std::vector< std::vector < Index > * >	_m_Y_restr_perO

std::vector< std::vector < Index > * >	_m_Y_restr_perY

std::vector< size_t >	_m_Yii_size_O
	For each O we maintain the number of instantiations of YSoI(O) More...

std::vector< size_t >	_m_Yii_size_Y
	For each Y we maintain the number of instantiations of YSoI(Y) More...

std::vector< Scope >	_m_YSoI_O
	For each O we maintain the NS SFs, Y, in its SoI. More...

std::vector< Scope >	_m_YSoI_Y
	For each NS SF we maintain the NS SFs, Y, in its SoI. More...

Detailed Description

TwoStageDynamicBayesianNetwork (2DBN) is a class that represents the transition and observation model for a factored MADP.

(i.e., for something that implements the MultiAgentDecisionProcessDiscreteFactoredStatesInterface. E.g., a MultiAgentDecisionProcessDiscreteFactoredStates)

Components

A TwoStageDynamicBayesianNetwork is composed of the

previous-stage (PS) state factors (SF) - x
next-stage (NS) state factors - y
actions variables - a
observation variables - o

Connections

There are causal connections of the following forms

x -> y influence of a PS SF on a NS SF
a -> y influence of an action on a NS SF
a -> o influence of an action on an observation
y -> y influence of a NS SF (with a lower index) on a NS SF (with a higher index)
y -> o influence of a NS SF on an observation
o -> o influence of a observation ((of an agent) with a lower index) on an observation ((of an agent) with a higher index).

Scopes of influence
----------------—
As such each y has a Scope of influence (SoI): SoI(y) = subset{x,a,y} And similar for each o: SoI(o) = subset{a,y,o}

Influence Instantiations (II)
--------------------------—
We refer to 1 instantiation of all variables in SoI(y) as an 'influence instantiation' (II). This class provides some convenience functions for converting a joint II index (denoted iiI), from vectors describing an instantiation, and vice versa.

We discriminate Yii's and Oii's for resp. NS SFs and Observations.

CPFs
-—
For each y and o, the 2DBN maintains a conditional probability distr. (CPD). These functions maintain the actual probabilities

CPD(y) = Pr(y | SoI(y) )
CPD(o) = Pr(o | SoI(o) )

Computing joint probabilities
--------------------------—
Joint probabilities can now be computed as illustrated here:

Pr( y1, y2 | SoI(y1), SoI(y2) ) = CPD(y1,y2) = CPD(y1) * CPD(y2) = Pr(y1 | SoI(y1)) * Pr(y2 | SoI(y2))
similar for observations and combinations of o and y.

In the future we may want to use compact CPDs such as decision trees, ADDs or rules based descriptions. Then we can also consider concretizing the product CPD(y1,y2) = CPD(y1) * CPD(y2) (e.g., overloading the operator* for CPDs etc...)

Constructor & Destructor Documentation

TwoStageDynamicBayesianNetwork::TwoStageDynamicBayesianNetwork ( MultiAgentDecisionProcessDiscreteFactoredStatesInterface & madp )

(default) Constructor

References _m_IndividualToJointOiiIndices_catVector, _m_IndividualToJointYiiIndices_catVector, _m_SampleNrO, _m_SampleO, _m_SampleY, and _m_SoIStorageInitialized.

TwoStageDynamicBayesianNetwork::~TwoStageDynamicBayesianNetwork ( )

Copy constructor.

Destructor.

References _m_A_restr_perO, _m_A_restr_perY, _m_IndividualToJointOiiIndices_catVector, _m_IndividualToJointYiiIndices_catVector, _m_nrVals_SoI_O_stepsize, _m_nrVals_SoI_Y_stepsize, _m_O_CPDs, _m_O_restr_perO, _m_SampleNrO, _m_SampleO, _m_SampleY, _m_X_restr_perO, _m_X_restr_perY, _m_Y_CPDs, _m_Y_restr_perO, and _m_Y_restr_perY.

Member Function Documentation

void TwoStageDynamicBayesianNetwork::AddCPDForO ( Index o )

Add a CPD for an observation o.

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::CreateNewObservationModel().

void TwoStageDynamicBayesianNetwork::AddCPDForY ( Index y )

Add a CPD for a NS SF y.

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::CreateNewTransitionModel().

Scope TwoStageDynamicBayesianNetwork::AgentScopeBackup	(	const Scope &	stateScope,
		const Scope &	agentScope
	)		const

Get the agent actions that are a ancestor of the arguments.

References ScopeBackup().

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::AgentScopeBackup().

void TwoStageDynamicBayesianNetwork::ComputeWithinNextStageClosure	(	Scope &	Y,
		Scope &	O
	)		const

private

Computes the 'closure' of NS variables Y and O.

References _m_OSoI_O, _m_YSoI_O, _m_YSoI_Y, Scope::Contains(), and Scope::Insert().

Referenced by ScopeBackup().

size_t TwoStageDynamicBayesianNetwork::GetAiiSize_O ( Index oI ) const

returns the nr instantiations of ASoI(o)

References _m_Aii_size_O, and _m_ii_initialized.

size_t TwoStageDynamicBayesianNetwork::GetAiiSize_Y ( Index yI ) const

returns the nr instantiations of ASoI(y)

References _m_Aii_size_Y, and _m_ii_initialized.

const Scope& TwoStageDynamicBayesianNetwork::GetASoI_O ( Index o ) const

inline

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::GetASoI_O(), GetOProbability(), GetYOProbability(), MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN(), InitializeIIs(), MultiAgentDecisionProcessDiscreteFactoredStates::RemoveStateFactor(), SampleO(), and FSAOHDist_NECOF::Update().

const Scope& TwoStageDynamicBayesianNetwork::GetASoI_Y ( Index y ) const

inline

Referenced by FactoredDecPOMDPDiscrete::ExportSpuddFile(), MultiAgentDecisionProcessDiscreteFactoredStates::GetASoI_Y(), GetYOProbability(), GetYProbability(), GetYProbabilityGeneral(), MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN(), InitializeIIs(), MultiAgentDecisionProcessDiscreteFactoredStates::RemoveStateFactor(), SampleY(), and FSAOHDist_NECOF::Update().

CPDDiscreteInterface* TwoStageDynamicBayesianNetwork::GetCPD_O ( Index oI )

inline

Set the CPDDiscreteInterface for O.

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::RemoveStateFactor().

CPDDiscreteInterface* TwoStageDynamicBayesianNetwork::GetCPD_Y ( Index yI )

inline

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::RemoveStateFactor().

size_t TwoStageDynamicBayesianNetwork::GetiiSize_O ( Index oI ) const

returns the total number of IIs

References _m_ii_initialized, and _m_ii_size_O.

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN().

size_t TwoStageDynamicBayesianNetwork::GetiiSize_Y ( Index yI ) const

returns the total number of IIs

References _m_ii_initialized, and _m_ii_size_Y.

Referenced by IndividualToJointYiiIndices(), and MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN().

const vector< size_t > & TwoStageDynamicBayesianNetwork::GetNrVals_ASoI_O ( Index oI ) const

returns the number of values for all actions in ASoI(o)

References _m_ii_initialized, and _m_nrVals_ASoI_O.

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN().

const vector< size_t > & TwoStageDynamicBayesianNetwork::GetNrVals_ASoI_Y ( Index yI ) const

returns the number of values for all actions in XSoI(y)

References _m_ii_initialized, and _m_nrVals_ASoI_Y.

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN().

const vector< size_t > & TwoStageDynamicBayesianNetwork::GetNrVals_OSoI_O ( Index oI ) const

returns the number of values for all state factors in OSoI(o)

References _m_ii_initialized, and _m_nrVals_OSoI_O.

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN().

const vector< size_t > & TwoStageDynamicBayesianNetwork::GetNrVals_XSoI_O ( Index oI ) const

returns the number of values for all state factors in XSoI(o)

References _m_ii_initialized, and _m_nrVals_XSoI_O.

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN().

const vector< size_t > & TwoStageDynamicBayesianNetwork::GetNrVals_XSoI_Y ( Index yI ) const

returns the number of values for all state factors in XSoI(y)

References _m_ii_initialized, and _m_nrVals_XSoI_Y.

Referenced by FactoredDecPOMDPDiscrete::ExportSpuddFile(), and MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN().

const vector< size_t > & TwoStageDynamicBayesianNetwork::GetNrVals_YSoI_O ( Index oI ) const

returns the number of values for all state factors in YSoI(o)

References _m_ii_initialized, and _m_nrVals_YSoI_O.

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN().

const vector< size_t > & TwoStageDynamicBayesianNetwork::GetNrVals_YSoI_Y ( Index yI ) const

returns the number of values for all state factors in YSoI(y)

References _m_ii_initialized, and _m_nrVals_YSoI_Y.

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN().

size_t TwoStageDynamicBayesianNetwork::GetOiiSize_O ( Index oI ) const

returns the nr instantiations of OSoI(o)

References _m_ii_initialized, and _m_Oii_size_O.

vector< double > TwoStageDynamicBayesianNetwork::GetOProbabilitiesExactScopes	(	const std::vector< Index > &	Aii,
		const std::vector< Index > &	Yii,
		const std::vector< Index > &	Oii,
		const Index &	oIndex
	)		const

Get the probability of all possible values of oIndex given II.

oIndex the index of the observation factor (i.e., of the agent) for which we request the probability of all its possible values.
Aii,Yii, Oii are the vectors of influence instantiations of exact scopes. (I.e., Aii, Yii and Oii are of scope as specified by GetASoI_O(), GetYSoI_O(), GetOSoI_O(). )

References _m_madp, _m_O_CPDs, MultiAgentDecisionProcessDiscreteInterface::GetNrObservations(), GetXSoI_O(), IndividualToJointOiiIndices(), and ArgumentHandlers::size().

Referenced by FSAOHDist_NECOF::Update().

vector< double > TwoStageDynamicBayesianNetwork::GetOProbabilitiesExactScopes	(	const std::vector< Index > &	Xii,
		const std::vector< Index > &	Aii,
		const std::vector< Index > &	Yii,
		const std::vector< Index > &	Oii,
		const Index &	oIndex
	)		const

References _m_madp, _m_O_CPDs, MultiAgentDecisionProcessDiscreteInterface::GetNrObservations(), and IndividualToJointOiiIndices().

double TwoStageDynamicBayesianNetwork::GetOProbability	(	const std::vector< Index > &	A,
		const std::vector< Index > &	Y,
		const std::vector< Index > &	O
	)		const

Get the probability of O given A,Y. All std::vectors are full length.

References _m_O_CPDs, GetASoI_O(), GetOSoI_O(), GetXSoI_O(), GetYSoI_O(), IndividualToJointOiiIndices(), IndexTools::RestrictIndividualIndicesToScope(), and ArgumentHandlers::size().

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::GetObservationProbability(), and MultiAgentDecisionProcessDiscreteFactoredStates::MarginalizeTransitionObservationModel().

double TwoStageDynamicBayesianNetwork::GetOProbability	(	const std::vector< Index > &	X,
		const std::vector< Index > &	A,
		const std::vector< Index > &	Y,
		const std::vector< Index > &	O
	)		const

References _m_O_CPDs, GetASoI_O(), GetOSoI_O(), GetXSoI_O(), GetYSoI_O(), IndividualToJointOiiIndices(), IndexTools::RestrictIndividualIndicesToScope(), and ArgumentHandlers::size().

const Scope& TwoStageDynamicBayesianNetwork::GetOSoI_O ( Index o ) const

inline

Referenced by GetOProbability(), MultiAgentDecisionProcessDiscreteFactoredStates::GetOSoI_O(), GetYOProbability(), MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN(), InitializeIIs(), MultiAgentDecisionProcessDiscreteFactoredStates::RemoveStateFactor(), SampleO(), and FSAOHDist_NECOF::Update().

size_t TwoStageDynamicBayesianNetwork::GetXiiSize_O ( Index oI ) const

returns the nr instantiations of XSoI(o)

References _m_ii_initialized, and _m_Xii_size_O.

size_t TwoStageDynamicBayesianNetwork::GetXiiSize_Y ( Index yI ) const

returns the nr. instantiations of XSoI(y)

References _m_ii_initialized, and _m_Xii_size_Y.

const Scope& TwoStageDynamicBayesianNetwork::GetXSoI_O ( Index o ) const

inline

Referenced by GetOProbabilitiesExactScopes(), GetOProbability(), MultiAgentDecisionProcessDiscreteFactoredStates::GetXSoI_O(), GetYOProbability(), MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN(), InitializeIIs(), JointToIndividualOiiIndices(), MultiAgentDecisionProcessDiscreteFactoredStates::RemoveStateFactor(), and SampleO().

const Scope& TwoStageDynamicBayesianNetwork::GetXSoI_Y ( Index y ) const

inline

Referenced by FactoredDecPOMDPDiscrete::ExportSpuddFile(), MultiAgentDecisionProcessDiscreteFactoredStates::GetXSoI_Y(), GetYOProbability(), GetYProbability(), GetYProbabilityGeneral(), MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN(), InitializeIIs(), MultiAgentDecisionProcessDiscreteFactoredStates::RemoveStateFactor(), SampleY(), and FSAOHDist_NECOF::Update().

size_t TwoStageDynamicBayesianNetwork::GetYiiSize_O ( Index oI ) const

returns the nr instantiations of YSoI(o)

References _m_ii_initialized, and _m_Yii_size_O.

size_t TwoStageDynamicBayesianNetwork::GetYiiSize_Y ( Index yI ) const

returns the nr instantiations of YSoI(y)

References _m_ii_initialized, and _m_Yii_size_Y.

double TwoStageDynamicBayesianNetwork::GetYOProbability	(	const Scope &	X,
		const std::vector< Index > &	Xs,
		const Scope &	A,
		const std::vector< Index > &	As,
		const Scope &	Y,
		const std::vector< Index > &	Ys,
		const Scope &	O,
		const std::vector< Index > &	Os
	)		const

Compute the probability P(Ys,Os|Xs,As)

All std::vectors are of specified scopes. When the probability is undefined (because X and A do not contain all necessary vars) an exception is thrown

References _m_O_CPDs, _m_Y_CPDs, GetASoI_O(), GetASoI_Y(), GetOSoI_O(), GetXSoI_O(), GetXSoI_Y(), GetYSoI_O(), GetYSoI_Y(), IndividualToJointOiiIndices(), IndividualToJointYiiIndices(), IndexTools::RestrictIndividualIndicesToNarrowerScope(), and ArgumentHandlers::size().

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::GetYOProbability().

vector< double > TwoStageDynamicBayesianNetwork::GetYProbabilitiesExactScopes	(	const std::vector< Index > &	Xii,
		const std::vector< Index > &	Aii,
		const std::vector< Index > &	Yii,
		const Index &	yIndex
	)		const

Get the probability of all possible values of yIndex given II.

yIndex the index of the state factor for which we request the probability of all its possible values.
Xii,Aii, Yii are the vectors of influence instantiations of exact scopes. (I.e., Xii, Aii and Yii are of scope as specified by GetXSoI_Y(), GetASoI_Y(), GetYSoI_Y(). )

References _m_madp, _m_Y_CPDs, MultiAgentDecisionProcessDiscreteFactoredStatesInterface::GetNrValuesForFactor(), and IndividualToJointYiiIndices().

Referenced by FactoredDecPOMDPDiscrete::ExportSpuddFile(), and FSAOHDist_NECOF::Update().

double TwoStageDynamicBayesianNetwork::GetYProbability	(	const std::vector< Index > &	X,
		const std::vector< Index > &	A,
		const std::vector< Index > &	Y
	)		const

Get the probability of Y given X,A. All are full-length.

because all factors are included, we do not need to discriminate Yii and Y.

References _m_madp, _m_Y_CPDs, GetASoI_Y(), MultiAgentDecisionProcessInterface::GetNrAgents(), MultiAgentDecisionProcessDiscreteFactoredStatesInterface::GetNrStateFactors(), GetXSoI_Y(), GetYSoI_Y(), IndividualToJointYiiIndices(), IndexTools::RestrictIndividualIndicesToScope(), and ArgumentHandlers::size().

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::GetTransitionProbability(), and MultiAgentDecisionProcessDiscreteFactoredStates::MarginalizeTransitionObservationModel().

double TwoStageDynamicBayesianNetwork::GetYProbabilityGeneral	(	const Scope &	Xscope,
		const std::vector< Index > &	X,
		const Scope &	Ascope,
		const std::vector< Index > &	A,
		const Scope &	YIIscope,
		const std::vector< Index > &	YII,
		const Scope &	Yscope,
		const std::vector< Index > &	Y
	)		const

Get the probability of Y given X,A. general version.

We need to discriminate between

Y, the vector of next-stage state variables for which we want to know the probability,
YII the vector of next-stage that can influence the SFs in Yscope.

YIIscope needs to be a superset of Yscope and YII and Y need to specify the same values for the same NS SFs.

This function returns the probability

$\Pr(Y | X, A, (YII \setminus Y) )$

References _m_Y_CPDs, GetASoI_Y(), GetXSoI_Y(), GetYSoI_Y(), IndividualToJointYiiIndices(), IndexTools::RestrictIndividualIndicesToNarrowerScope(), and ArgumentHandlers::size().

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN(), and MultiAgentDecisionProcessDiscreteFactoredStates::MarginalizeTransitionObservationModel().

const Scope& TwoStageDynamicBayesianNetwork::GetYSoI_O ( Index o ) const

inline

Referenced by FSAOHDist_NECOF::FSAOHDist_NECOF(), GetOProbability(), GetYOProbability(), MultiAgentDecisionProcessDiscreteFactoredStates::GetYSoI_O(), MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN(), InitializeIIs(), MultiAgentDecisionProcessDiscreteFactoredStates::RemoveStateFactor(), SampleO(), and FSAOHDist_NECOF::Update().

const Scope& TwoStageDynamicBayesianNetwork::GetYSoI_Y ( Index y ) const

inline

Referenced by GetYOProbability(), GetYProbability(), GetYProbabilityGeneral(), MultiAgentDecisionProcessDiscreteFactoredStates::GetYSoI_Y(), MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN(), InitializeIIs(), MultiAgentDecisionProcessDiscreteFactoredStates::MarginalizeTransitionObservationModel(), MultiAgentDecisionProcessDiscreteFactoredStates::RemoveStateFactor(), and SampleY().

Index TwoStageDynamicBayesianNetwork::IndividualToJointOiiIndices	(	Index	o,
		const std::vector< Index > &	A_rest,
		const std::vector< Index > &	Y_rest,
		const std::vector< Index > &	O_rest
	)		const

Computes the joint II index for restricted std::vectors As,Ys,Os.

std::vectors are restricted to only include values in SoI(o)

References _m_IndividualToJointOiiIndices_catVector, _m_nrVals_SoI_O_stepsize, and IndexTools::IndividualToJointIndicesStepSize().

Referenced by GetOProbabilitiesExactScopes(), GetOProbability(), GetYOProbability(), MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN(), and SampleO().

Index TwoStageDynamicBayesianNetwork::IndividualToJointOiiIndices	(	Index	o,
		const std::vector< Index > &	X_rest,
		const std::vector< Index > &	A_rest,
		const std::vector< Index > &	Y_rest,
		const std::vector< Index > &	O_rest
	)		const

References _m_IndividualToJointOiiIndices_catVector, _m_nrVals_SoI_O_stepsize, and IndexTools::IndividualToJointIndicesStepSize().

Index TwoStageDynamicBayesianNetwork::IndividualToJointYiiIndices	(	Index	y,
		const std::vector< Index > &	X_rest,
		const std::vector< Index > &	A_rest,
		const std::vector< Index > &	Y_rest
	)		const

Computes the joint II index for restricted std::vectors Xs,As,Ys.

std::vectors are restricted to only include values in SoI(y)

References _m_IndividualToJointYiiIndices_catVector, _m_nrVals_SoI_Y, _m_nrVals_SoI_Y_stepsize, GetiiSize_Y(), IndexTools::IndividualToJointIndices(), and IndexTools::IndividualToJointIndicesStepSize().

Referenced by GetYOProbability(), GetYProbabilitiesExactScopes(), GetYProbability(), GetYProbabilityGeneral(), MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN(), and SampleY().

void TwoStageDynamicBayesianNetwork::InitializeIIs ( )

Computes some administrative things necessary for II functions.

This should be called after all SoI's have been defined. When not using any II functions, this may be skipped?! (I think)

References _m_A_restr_perO, _m_A_restr_perY, _m_Aii_size_O, _m_Aii_size_Y, _m_ii_initialized, _m_ii_size_O, _m_ii_size_Y, _m_IndividualToJointOiiIndices_catVector, _m_IndividualToJointYiiIndices_catVector, _m_madp, _m_nrO, _m_nrVals_ASoI_O, _m_nrVals_ASoI_Y, _m_nrVals_OSoI_O, _m_nrVals_SoI_O, _m_nrVals_SoI_O_stepsize, _m_nrVals_SoI_Y, _m_nrVals_SoI_Y_stepsize, _m_nrVals_XSoI_O, _m_nrVals_XSoI_Y, _m_nrVals_YSoI_O, _m_nrVals_YSoI_Y, _m_nrY, _m_O_restr_perO, _m_Oii_size_O, _m_X_restr_perO, _m_X_restr_perY, _m_Xii_size_O, _m_Xii_size_Y, _m_Y_restr_perO, _m_Y_restr_perY, _m_Yii_size_O, _m_Yii_size_Y, IndexTools::CalculateStepSize(), GetASoI_O(), GetASoI_Y(), MultiAgentDecisionProcessDiscreteInterface::GetNrActions(), MultiAgentDecisionProcessDiscreteInterface::GetNrObservations(), MultiAgentDecisionProcessDiscreteFactoredStatesInterface::GetNrValuesPerFactor(), GetOSoI_O(), GetXSoI_O(), GetXSoI_Y(), GetYSoI_O(), GetYSoI_Y(), IndexTools::RestrictIndividualIndicesToScope(), and ArgumentHandlers::size().

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN(), and MultiAgentDecisionProcessDiscreteFactoredStates::RemoveStateFactor().

void TwoStageDynamicBayesianNetwork::InitializeStorage ( )

Copy assignment operator.

Sets the SoI vectors to appropriate size and containing empty scopes. this function should be called after adding all state factors, but before trying to add the connections (by setting the SoI's)

References _m_ASoI_O, _m_ASoI_Y, _m_madp, _m_nrO, _m_nrY, _m_O_CPDs, _m_OSoI_O, _m_SampleNrO, _m_SampleO, _m_SampleY, _m_SoIStorageInitialized, _m_XSoI_O, _m_XSoI_Y, _m_Y_CPDs, _m_YSoI_O, _m_YSoI_Y, MultiAgentDecisionProcessInterface::GetNrAgents(), MultiAgentDecisionProcessDiscreteInterface::GetNrObservations(), MultiAgentDecisionProcessDiscreteFactoredStatesInterface::GetNrStateFactors(), and SoftPrint().

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN(), and MultiAgentDecisionProcessDiscreteFactoredStates::RemoveStateFactor().

void TwoStageDynamicBayesianNetwork::JointToIndividualOiiIndices	(	Index	o,
		Index	iiI,
		std::vector< Index > &	A_rest,
		std::vector< Index > &	Y_rest,
		std::vector< Index > &	O_rest
	)		const

Computes Xs, As, Ys from the joint iiI denoting a II of SoI(o).

This returns restricted std::vectors (std::vectors restricted to the SoI(o))

References _m_nrVals_ASoI_O, _m_nrVals_OSoI_O, _m_nrVals_SoI_O, _m_nrVals_YSoI_O, GetXSoI_O(), IndexTools::JointToIndividualIndices(), and ArgumentHandlers::size().

void TwoStageDynamicBayesianNetwork::JointToIndividualOiiIndices	(	Index	o,
		Index	iiI,
		std::vector< Index > &	X_rest,
		std::vector< Index > &	A_rest,
		std::vector< Index > &	Y_rest,
		std::vector< Index > &	O_rest
	)		const

References _m_nrVals_ASoI_O, _m_nrVals_OSoI_O, _m_nrVals_SoI_O, _m_nrVals_XSoI_O, _m_nrVals_YSoI_O, and IndexTools::JointToIndividualIndices().

void TwoStageDynamicBayesianNetwork::JointToIndividualYiiIndices	(	Index	y,
		Index	iiI,
		std::vector< Index > &	X_rest,
		std::vector< Index > &	A_rest,
		std::vector< Index > &	Y_rest
	)		const

Computes Xs, As, Ys from the joint iiI denoting a II of SoI(y).

This returns restricted std::vectors (std::vectors restricted to the SoI(y))

References _m_nrVals_ASoI_Y, _m_nrVals_SoI_Y, _m_nrVals_XSoI_Y, _m_nrVals_YSoI_Y, and IndexTools::JointToIndividualIndices().

std::vector<Index> TwoStageDynamicBayesianNetwork::SampleO	(	const std::vector< Index > &	A,
		const std::vector< Index > &	Y
	)		const

inline

Sample an observation.

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::SampleJointObservation().

vector< Index > TwoStageDynamicBayesianNetwork::SampleO	(	const std::vector< Index > &	X,
		const std::vector< Index > &	A,
		const std::vector< Index > &	Y
	)		const

Sample an observation.

References _m_A_restr_perO, _m_nrO, _m_O_CPDs, _m_O_restr_perO, _m_SampleO, _m_X_restr_perO, _m_Y_restr_perO, GetASoI_O(), GetOSoI_O(), GetXSoI_O(), GetYSoI_O(), IndividualToJointOiiIndices(), and IndexTools::RestrictIndividualIndicesToScope().

vector< Index > TwoStageDynamicBayesianNetwork::SampleY	(	const std::vector< Index > &	X,
		const std::vector< Index > &	A
	)		const

Sample a NS state.

References _m_A_restr_perY, _m_nrY, _m_SampleY, _m_X_restr_perY, _m_Y_CPDs, _m_Y_restr_perY, GetASoI_Y(), GetXSoI_Y(), GetYSoI_Y(), IndividualToJointYiiIndices(), and IndexTools::RestrictIndividualIndicesToScope().

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::SampleSuccessorState().

void TwoStageDynamicBayesianNetwork::ScopeBackup	(	const Scope &	Y,
		const Scope &	X,
		Scope &	Xout,
		Scope &	Aout
	)		const

Perfom the Stat and Agent Scope backup.

this function is called by StateScopeBackup and AgentScopeBackup. If you need both, this is therefore more efficient. Xout and Aout are output arguments containing the backed-up scopes.

References _m_ASoI_O, _m_ASoI_Y, _m_XSoI_O, _m_XSoI_Y, ComputeWithinNextStageClosure(), Scope::Insert(), and Scope::Sort().

Referenced by AgentScopeBackup(), and StateScopeBackup().

void TwoStageDynamicBayesianNetwork::SetCPD_O	(	Index	oI,
		CPDDiscreteInterface *	cpt
	)

inline

Set the CPDDiscreteInterface for O.

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN(), and MultiAgentDecisionProcessDiscreteFactoredStates::RemoveStateFactor().

void TwoStageDynamicBayesianNetwork::SetCPD_Y	(	Index	yI,
		CPDDiscreteInterface *	cpt
	)

inline

Set the CPDDiscreteInterface for Y.

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN(), and MultiAgentDecisionProcessDiscreteFactoredStates::RemoveStateFactor().

void TwoStageDynamicBayesianNetwork::SetSoI_O	(	Index	o,
		const Scope &	ASoI,
		const Scope &	YSoI,
		const Scope &	OSoI
	)

Sets the SoI of an observation o.

References _m_ASoI_O, _m_OSoI_O, _m_SoIStorageInitialized, and _m_YSoI_O.

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::RemoveStateFactor(), and MultiAgentDecisionProcessDiscreteFactoredStates::SetSoI_O().

void TwoStageDynamicBayesianNetwork::SetSoI_O	(	Index	o,
		const Scope &	XSoI,
		const Scope &	ASoI,
		const Scope &	YSoI,
		const Scope &	OSoI
	)

Sets the SoI of an observation o.

References _m_ASoI_O, _m_OSoI_O, _m_SoIStorageInitialized, _m_XSoI_O, and _m_YSoI_O.

void TwoStageDynamicBayesianNetwork::SetSoI_Y	(	Index	y,
		const Scope &	XSoI,
		const Scope &	ASoI,
		const Scope &	YSoI
	)

Sets the SoI of a NS SF y.

References _m_ASoI_Y, _m_SoIStorageInitialized, _m_XSoI_Y, and _m_YSoI_Y.

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::RemoveStateFactor(), and MultiAgentDecisionProcessDiscreteFactoredStates::SetSoI_Y().

string TwoStageDynamicBayesianNetwork::SoftPrint ( ) const

References _m_madp, _m_SoIStorageInitialized, MultiAgentDecisionProcessInterface::GetNrAgents(), MultiAgentDecisionProcessDiscreteFactoredStatesInterface::GetNrStateFactors(), SoftPrintSoI_O(), and SoftPrintSoI_Y().

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::Initialize2DBN(), ProblemFOBSFireFightingFactored::InitializePFFF(), ProblemFireFightingFactored::InitializePFFF(), InitializeStorage(), and MultiAgentDecisionProcessDiscreteFactoredStates::SoftPrint().

string TwoStageDynamicBayesianNetwork::SoftPrintSoI_O ( Index agI ) const

References _m_ASoI_O, _m_OSoI_O, _m_XSoI_O, and _m_YSoI_O.

Referenced by SoftPrint().

string TwoStageDynamicBayesianNetwork::SoftPrintSoI_Y ( Index y ) const

References _m_ASoI_Y, _m_XSoI_Y, and _m_YSoI_Y.

Referenced by SoftPrint().

Scope TwoStageDynamicBayesianNetwork::StateScopeBackup	(	const Scope &	stateScope,
		const Scope &	agentScope
	)		const

Get the state factors that are a ancestor of the arguments.

References ScopeBackup().

Referenced by MultiAgentDecisionProcessDiscreteFactoredStates::StateScopeBackup().

Member Data Documentation

std::vector<std::vector<Index>* > TwoStageDynamicBayesianNetwork::_m_A_restr_perO

private

Referenced by InitializeIIs(), SampleO(), and ~TwoStageDynamicBayesianNetwork().

std::vector<std::vector<Index>* > TwoStageDynamicBayesianNetwork::_m_A_restr_perY

private

Referenced by InitializeIIs(), SampleY(), and ~TwoStageDynamicBayesianNetwork().

std::vector<size_t> TwoStageDynamicBayesianNetwork::_m_Aii_size_O

private

For each O we maintain the number of instantiations of ASoI(O)

Referenced by GetAiiSize_O(), and InitializeIIs().

std::vector<size_t> TwoStageDynamicBayesianNetwork::_m_Aii_size_Y

private

For each Y we maintain the number of instantiations of ASoI(Y)

Referenced by GetAiiSize_Y(), and InitializeIIs().

std::vector< Scope > TwoStageDynamicBayesianNetwork::_m_ASoI_O

private

For each O we maintain the actions, A, in its SoI.

Referenced by InitializeStorage(), ScopeBackup(), SetSoI_O(), and SoftPrintSoI_O().

std::vector< Scope > TwoStageDynamicBayesianNetwork::_m_ASoI_Y

private

For each NS SF we maintain the actions, A, in its SoI.

Referenced by InitializeStorage(), ScopeBackup(), SetSoI_Y(), and SoftPrintSoI_Y().

bool TwoStageDynamicBayesianNetwork::_m_ii_initialized

private

Boolean that is set when all ii info is initialized.

Referenced by GetAiiSize_O(), GetAiiSize_Y(), GetiiSize_O(), GetiiSize_Y(), GetNrVals_ASoI_O(), GetNrVals_ASoI_Y(), GetNrVals_OSoI_O(), GetNrVals_XSoI_O(), GetNrVals_XSoI_Y(), GetNrVals_YSoI_O(), GetNrVals_YSoI_Y(), GetOiiSize_O(), GetXiiSize_O(), GetXiiSize_Y(), GetYiiSize_O(), GetYiiSize_Y(), and InitializeIIs().

std::vector<size_t> TwoStageDynamicBayesianNetwork::_m_ii_size_O

private

For each y we maintain the number of II's.

Referenced by GetiiSize_O(), and InitializeIIs().

std::vector<size_t> TwoStageDynamicBayesianNetwork::_m_ii_size_Y

private

For each y we maintain the number of II's.

Referenced by GetiiSize_Y(), and InitializeIIs().

std::vector<Index>* TwoStageDynamicBayesianNetwork::_m_IndividualToJointOiiIndices_catVector

private

Temporary storage used in IndividualToJointOiiIndices.

Referenced by IndividualToJointOiiIndices(), InitializeIIs(), TwoStageDynamicBayesianNetwork(), and ~TwoStageDynamicBayesianNetwork().

std::vector<Index>* TwoStageDynamicBayesianNetwork::_m_IndividualToJointYiiIndices_catVector

private

Temporary storage used in IndividualToJointYiiIndices.

Referenced by IndividualToJointYiiIndices(), InitializeIIs(), TwoStageDynamicBayesianNetwork(), and ~TwoStageDynamicBayesianNetwork().

MultiAgentDecisionProcessDiscreteFactoredStatesInterface* TwoStageDynamicBayesianNetwork::_m_madp

private

pointer to a MultiAgentDecisionProcessFactoredStatesInterface

A TwoStageDynamicBayesianNetwork is not a standalone thing. It is used to represent a MADP with a factored states space.

Referenced by GetOProbabilitiesExactScopes(), GetYProbabilitiesExactScopes(), GetYProbability(), InitializeIIs(), InitializeStorage(), and SoftPrint().

size_t TwoStageDynamicBayesianNetwork::_m_nrO

private

the number of observation factors (i.e., the number of agents)

Referenced by InitializeIIs(), InitializeStorage(), and SampleO().

std::vector< std::vector<size_t> > TwoStageDynamicBayesianNetwork::_m_nrVals_ASoI_O

private

For each O we maintain the number of actions in ASoI(O)

Referenced by GetNrVals_ASoI_O(), InitializeIIs(), and JointToIndividualOiiIndices().

std::vector< std::vector<size_t> > TwoStageDynamicBayesianNetwork::_m_nrVals_ASoI_Y

private

For each NS SF Y we maintain the number of actions in ASoI(Y)

Referenced by GetNrVals_ASoI_Y(), InitializeIIs(), and JointToIndividualYiiIndices().

std::vector< std::vector<size_t> > TwoStageDynamicBayesianNetwork::_m_nrVals_OSoI_O

private

For each O we maintain the number of observations in OSoI(O)

Referenced by GetNrVals_OSoI_O(), InitializeIIs(), and JointToIndividualOiiIndices().

std::vector< std::vector<size_t> > TwoStageDynamicBayesianNetwork::_m_nrVals_SoI_O

private

For each NS SF O we maintain the number of SF values in SoI(O)

This is the concatination of [nrValsASoI, nrValsYSoI, nrValsOSoI] used by IndividualToJointOiiIndices, and JointToIndividualOiiIndices

Referenced by InitializeIIs(), and JointToIndividualOiiIndices().

std::vector<size_t*> TwoStageDynamicBayesianNetwork::_m_nrVals_SoI_O_stepsize

private

Cache the step size for speed.

Referenced by IndividualToJointOiiIndices(), InitializeIIs(), and ~TwoStageDynamicBayesianNetwork().

std::vector< std::vector<size_t> > TwoStageDynamicBayesianNetwork::_m_nrVals_SoI_Y

private

For each NS SF Y we maintain the number of SF values in SoI(Y)

This is the concatination of [nrValsXSoI, nrValsASoI, nrValsYSoI] used by IndividualToJointYiiIndices, and JointToIndividualYiiIndices

Referenced by IndividualToJointYiiIndices(), InitializeIIs(), and JointToIndividualYiiIndices().

std::vector<size_t*> TwoStageDynamicBayesianNetwork::_m_nrVals_SoI_Y_stepsize

private

Cache the step size for speed.

Referenced by IndividualToJointYiiIndices(), InitializeIIs(), and ~TwoStageDynamicBayesianNetwork().

std::vector< std::vector<size_t> > TwoStageDynamicBayesianNetwork::_m_nrVals_XSoI_O

private

For each O we maintain the number of SF values in XSoI(O)

Referenced by GetNrVals_XSoI_O(), InitializeIIs(), and JointToIndividualOiiIndices().

std::vector< std::vector<size_t> > TwoStageDynamicBayesianNetwork::_m_nrVals_XSoI_Y

private

For each NS SF Y we maintain the number of SF values in XSoI(Y)

I.e., For each SF in XSoI(Y) we maintain the number of values it has. This can be used to convert 'local' X indices to joint ones, etc.

Referenced by GetNrVals_XSoI_Y(), InitializeIIs(), and JointToIndividualYiiIndices().

std::vector< std::vector<size_t> > TwoStageDynamicBayesianNetwork::_m_nrVals_YSoI_O

private

For each O we maintain the number of SF values in YSoI(O)

Referenced by GetNrVals_YSoI_O(), InitializeIIs(), and JointToIndividualOiiIndices().

std::vector< std::vector<size_t> > TwoStageDynamicBayesianNetwork::_m_nrVals_YSoI_Y

private

For each NS SF Y we maintain the number of SF values in YSoI(Y)

Referenced by GetNrVals_YSoI_Y(), InitializeIIs(), and JointToIndividualYiiIndices().

size_t TwoStageDynamicBayesianNetwork::_m_nrY

private

the number of state factors

Referenced by InitializeIIs(), InitializeStorage(), and SampleY().

std::vector< CPDDiscreteInterface * > TwoStageDynamicBayesianNetwork::_m_O_CPDs

private

For each observation we maintain a CPD.

Referenced by GetOProbabilitiesExactScopes(), GetOProbability(), GetYOProbability(), InitializeStorage(), SampleO(), and ~TwoStageDynamicBayesianNetwork().

std::vector<std::vector<Index>* > TwoStageDynamicBayesianNetwork::_m_O_restr_perO

private

Referenced by InitializeIIs(), SampleO(), and ~TwoStageDynamicBayesianNetwork().

std::vector<size_t> TwoStageDynamicBayesianNetwork::_m_Oii_size_O

private

For each O we maintain the number of instantiations of OSoI(O)

Referenced by GetOiiSize_O(), and InitializeIIs().

std::vector< Scope > TwoStageDynamicBayesianNetwork::_m_OSoI_O

private

For each O we maintain the observations, O, in its SoI.

Referenced by ComputeWithinNextStageClosure(), InitializeStorage(), SetSoI_O(), and SoftPrintSoI_O().

std::vector<size_t>* TwoStageDynamicBayesianNetwork::_m_SampleNrO

private

Temporary storage used in SampleO.

Referenced by InitializeStorage(), TwoStageDynamicBayesianNetwork(), and ~TwoStageDynamicBayesianNetwork().

std::vector<Index>* TwoStageDynamicBayesianNetwork::_m_SampleO

private

Temporary storage used in SampleO.

Referenced by InitializeStorage(), SampleO(), TwoStageDynamicBayesianNetwork(), and ~TwoStageDynamicBayesianNetwork().

std::vector<Index>* TwoStageDynamicBayesianNetwork::_m_SampleY

private

Temporary storage used in SampleY.

Referenced by InitializeStorage(), SampleY(), TwoStageDynamicBayesianNetwork(), and ~TwoStageDynamicBayesianNetwork().

bool TwoStageDynamicBayesianNetwork::_m_SoIStorageInitialized

private

Referenced by InitializeStorage(), SetSoI_O(), SetSoI_Y(), SoftPrint(), and TwoStageDynamicBayesianNetwork().

std::vector<std::vector<Index>* > TwoStageDynamicBayesianNetwork::_m_X_restr_perO

private

Referenced by InitializeIIs(), SampleO(), and ~TwoStageDynamicBayesianNetwork().

std::vector<std::vector<Index>* > TwoStageDynamicBayesianNetwork::_m_X_restr_perY

private

Referenced by InitializeIIs(), SampleY(), and ~TwoStageDynamicBayesianNetwork().

std::vector<size_t> TwoStageDynamicBayesianNetwork::_m_Xii_size_O

private

For each O we maintain the number of instantiations of XSoI(O)

Referenced by GetXiiSize_O(), and InitializeIIs().

std::vector<size_t> TwoStageDynamicBayesianNetwork::_m_Xii_size_Y

private

For each Y we maintain the number of instantiations of XSoI(Y)

Referenced by GetXiiSize_Y(), and InitializeIIs().

std::vector< Scope > TwoStageDynamicBayesianNetwork::_m_XSoI_O

private

For each O we maintain the PS SFs, X, in its SoI.

Referenced by InitializeStorage(), ScopeBackup(), SetSoI_O(), and SoftPrintSoI_O().

std::vector< Scope > TwoStageDynamicBayesianNetwork::_m_XSoI_Y

private

For each NS SF we maintain the PS SFs, X, in its SoI.

Referenced by InitializeStorage(), ScopeBackup(), SetSoI_Y(), and SoftPrintSoI_Y().

std::vector< CPDDiscreteInterface * > TwoStageDynamicBayesianNetwork::_m_Y_CPDs

private

For each next-stage state variable y we maintain a CPD.

Referenced by GetYOProbability(), GetYProbabilitiesExactScopes(), GetYProbability(), GetYProbabilityGeneral(), InitializeStorage(), SampleY(), and ~TwoStageDynamicBayesianNetwork().

std::vector<std::vector<Index>* > TwoStageDynamicBayesianNetwork::_m_Y_restr_perO

private

Referenced by InitializeIIs(), SampleO(), and ~TwoStageDynamicBayesianNetwork().

std::vector<std::vector<Index>* > TwoStageDynamicBayesianNetwork::_m_Y_restr_perY

private

Referenced by InitializeIIs(), SampleY(), and ~TwoStageDynamicBayesianNetwork().

std::vector<size_t> TwoStageDynamicBayesianNetwork::_m_Yii_size_O

private

For each O we maintain the number of instantiations of YSoI(O)

Referenced by GetYiiSize_O(), and InitializeIIs().

std::vector<size_t> TwoStageDynamicBayesianNetwork::_m_Yii_size_Y

private

For each Y we maintain the number of instantiations of YSoI(Y)

Referenced by GetYiiSize_Y(), and InitializeIIs().

std::vector< Scope > TwoStageDynamicBayesianNetwork::_m_YSoI_O

private

For each O we maintain the NS SFs, Y, in its SoI.

Referenced by ComputeWithinNextStageClosure(), InitializeStorage(), SetSoI_O(), and SoftPrintSoI_O().

std::vector< Scope > TwoStageDynamicBayesianNetwork::_m_YSoI_Y

private

For each NS SF we maintain the NS SFs, Y, in its SoI.

Referenced by ComputeWithinNextStageClosure(), InitializeStorage(), SetSoI_Y(), and SoftPrintSoI_Y().

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