#include <IndefiniteTruthValue.h>

Inheritance diagram for opencog::IndefiniteTruthValue:

Collaboration diagram for opencog::IndefiniteTruthValue:

Public Member Functions
	IndefiniteTruthValue ()

	IndefiniteTruthValue (strength_t l, strength_t u, confidence_t c=DEFAULT_CONFIDENCE_LEVEL)

	IndefiniteTruthValue (IndefiniteTruthValue const &)

virtual bool	operator== (const TruthValue &rhs) const
	it is a strict equality comparison, without error interval tolerance More...

strength_t	getMean () const

strength_t	getU () const

strength_t	getL () const

confidence_t	getConfidenceLevel () const

strength_t	getDiff ()

const std::vector< strength_t * > &	getFirstOrderDistribution () const

void	setMean (strength_t)

void	setU (strength_t)

void	setL (strength_t)

void	setConfidenceLevel (confidence_t)

void	setDiff (strength_t)

void	setFirstOrderDistribution (const std::vector< strength_t * > &)

void	setSymmetric (bool s)

count_t	getCount () const

confidence_t	getConfidence () const

strength_t	getU_ () const

strength_t	getL_ () const

bool	isSymmetric () const

TruthValuePtr	merge (TruthValuePtr, TVMergeStyle ms=DEFAULT) const

std::string	toString () const

TruthValueType	getType () const

TruthValuePtr	clone () const

TruthValue *	rawclone () const

Public Member Functions inherited from opencog::TruthValue
virtual	~TruthValue ()

bool	operator!= (const TruthValue &rhs) const

virtual bool	isNullTv () const

virtual bool	isDefaultTV () const

Static Public Member Functions
static IndefiniteTruthValuePtr	createITV (TruthValuePtr tv)

static TruthValuePtr	createTV (TruthValuePtr tv)

static IndefiniteTruthValuePtr	createITV (strength_t l, strength_t u, confidence_t c=DEFAULT_CONFIDENCE_LEVEL)

static TruthValuePtr	createTV (strength_t l, strength_t u, confidence_t c=DEFAULT_CONFIDENCE_LEVEL)

static void	setDefaultConfidenceLevel (confidence_t c)

static void	setDefaultK (count_t k)

Static Public Member Functions inherited from opencog::TruthValue
static TruthValuePtr	NULL_TV ()

static TruthValuePtr	TRUE_TV ()

static TruthValuePtr	DEFAULT_TV ()

static TruthValuePtr	FALSE_TV ()

static TruthValuePtr	TRIVIAL_TV ()

Static Public Attributes
static confidence_t	DEFAULT_CONFIDENCE_LEVEL = 0.9

static count_t	DEFAULT_K = 2.0

static strength_t	diffError = 0.001

static strength_t	s = 0.5

Private Member Functions
void	init (strength_t l=0.0f, strength_t u=0.0f, confidence_t c=DEFAULT_CONFIDENCE_LEVEL)

void	copy (const IndefiniteTruthValue &)

strength_t	findDiff (strength_t idiff)
	find diff by dichotomy More...

Private Attributes
strength_t	U

strength_t	L

confidence_t	confidenceLevel
	referred as "b" in the paper More...

bool	symmetric

strength_t	diff

std::vector< strength_t * >	firstOrderDistribution

mean, count, confidence
below, "mean", "count" and "confidence" are all three attributes used to translate an indefinite TV into a simple TV. If "mean" (as well as "count" or "confidence") is negative it means that it outdated and therefore must be recalculted, otherwise, i.e. positive of null, it means that the current value is correct
strength_t	mean

count_t	count

confidence_t	confidence

Detailed Description

Indefinite probabilities are in the form ([L,U],b,N). In practical work, N will be hold constant and thus we have only ([L,U],b).

Definition at line 50 of file IndefiniteTruthValue.h.

Constructor & Destructor Documentation

IndefiniteTruthValue::IndefiniteTruthValue ( )

Definition at line 111 of file IndefiniteTruthValue.cc.

References init().

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IndefiniteTruthValue::IndefiniteTruthValue	(	strength_t	l,
		strength_t	u,
		confidence_t	c = `DEFAULT_CONFIDENCE_LEVEL`
	)

Definition at line 116 of file IndefiniteTruthValue.cc.

References init().

IndefiniteTruthValue::IndefiniteTruthValue ( IndefiniteTruthValue const & source )

Definition at line 122 of file IndefiniteTruthValue.cc.

References copy().

Member Function Documentation

TruthValuePtr opencog::IndefiniteTruthValue::clone ( ) const

inlinevirtual

Implements opencog::TruthValue.

Definition at line 148 of file IndefiniteTruthValue.h.

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void IndefiniteTruthValue::copy ( const IndefiniteTruthValue & source )

private

Definition at line 99 of file IndefiniteTruthValue.cc.

References confidence, confidenceLevel, count, diff, L, mean, symmetric, and U.

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static IndefiniteTruthValuePtr opencog::IndefiniteTruthValue::createITV ( TruthValuePtr tv )

inlinestatic

Definition at line 123 of file IndefiniteTruthValue.h.

References opencog::INDEFINITE_TRUTH_VALUE.

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static IndefiniteTruthValuePtr opencog::IndefiniteTruthValue::createITV	(	strength_t	l,
		strength_t	u,
		confidence_t	c = `DEFAULT_CONFIDENCE_LEVEL`
	)

inlinestatic

Definition at line 136 of file IndefiniteTruthValue.h.

static TruthValuePtr opencog::IndefiniteTruthValue::createTV ( TruthValuePtr tv )

inlinestatic

Definition at line 131 of file IndefiniteTruthValue.h.

References createITV().

static TruthValuePtr opencog::IndefiniteTruthValue::createTV	(	strength_t	l,
		strength_t	u,
		confidence_t	c = `DEFAULT_CONFIDENCE_LEVEL`
	)

inlinestatic

Definition at line 142 of file IndefiniteTruthValue.h.

References createITV().

strength_t IndefiniteTruthValue::findDiff ( strength_t idiff )

private

find diff by dichotomy

Definition at line 162 of file IndefiniteTruthValue.cc.

References confidenceLevel, DEFAULT_K, DensityIntegral(), diffError, L, python.bindlink::result, s, and U.

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float IndefiniteTruthValue::getConfidence ( ) const

virtual

Implements opencog::TruthValue.

Definition at line 289 of file IndefiniteTruthValue.cc.

References confidence, DEFAULT_K, and getCount().

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confidence_t IndefiniteTruthValue::getConfidenceLevel ( ) const

Definition at line 198 of file IndefiniteTruthValue.cc.

References confidenceLevel.

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count_t IndefiniteTruthValue::getCount ( ) const

virtual

Implements opencog::TruthValue.

Definition at line 278 of file IndefiniteTruthValue.cc.

References count, DEFAULT_K, and W.

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strength_t IndefiniteTruthValue::getDiff ( )

Definition at line 147 of file IndefiniteTruthValue.cc.

References diff, findDiff(), L, and U.

const std::vector< strength_t * > & IndefiniteTruthValue::getFirstOrderDistribution ( ) const

Definition at line 203 of file IndefiniteTruthValue.cc.

References firstOrderDistribution.

strength_t IndefiniteTruthValue::getL ( ) const

Definition at line 138 of file IndefiniteTruthValue.cc.

References L.

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strength_t IndefiniteTruthValue::getL_ ( ) const

Definition at line 214 of file IndefiniteTruthValue.cc.

References diff, and L.

strength_t IndefiniteTruthValue::getMean ( ) const

virtual

Implements opencog::TruthValue.

Definition at line 270 of file IndefiniteTruthValue.cc.

References L, mean, and U.

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TruthValueType IndefiniteTruthValue::getType ( ) const

virtual

Implements opencog::TruthValue.

Definition at line 260 of file IndefiniteTruthValue.cc.

References opencog::INDEFINITE_TRUTH_VALUE.

strength_t IndefiniteTruthValue::getU ( ) const

Definition at line 142 of file IndefiniteTruthValue.cc.

References U.

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strength_t IndefiniteTruthValue::getU_ ( ) const

Definition at line 208 of file IndefiniteTruthValue.cc.

References diff, and U.

void IndefiniteTruthValue::init	(	strength_t	l = `0.0f`,
		strength_t	u = `0.0f`,
		confidence_t	c = `DEFAULT_CONFIDENCE_LEVEL`
	)

private

Definition at line 82 of file IndefiniteTruthValue.cc.

References confidence, confidenceLevel, count, diff, firstOrderDistribution, L, mean, symmetric, and U.

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bool IndefiniteTruthValue::isSymmetric ( ) const

Definition at line 298 of file IndefiniteTruthValue.cc.

References symmetric.

TruthValuePtr IndefiniteTruthValue::merge	(	TruthValuePtr	,
		TVMergeStyle	ms = `DEFAULT`
	)		const

virtual

Merge this TV object with the given TV object argument. It always returns a new TV object with the result of the merge, even if it is equal to one of the merged TV objects.

Parameters

ms	the merge style as described in https://github.com/opencog/opencog/issues/1295

Implements opencog::TruthValue.

Definition at line 304 of file IndefiniteTruthValue.cc.

References clone(), and getConfidence().

bool IndefiniteTruthValue::operator== ( const TruthValue & rhs ) const

virtual

it is a strict equality comparison, without error interval tolerance

Implements opencog::TruthValue.

Definition at line 127 of file IndefiniteTruthValue.cc.

References confidenceLevel, L, and U.

TruthValue* opencog::IndefiniteTruthValue::rawclone ( ) const

inlinevirtual

Implements opencog::TruthValue.

Definition at line 153 of file IndefiniteTruthValue.h.

References IndefiniteTruthValue().

void IndefiniteTruthValue::setConfidenceLevel ( confidence_t c )

Definition at line 245 of file IndefiniteTruthValue.cc.

References confidenceLevel.

static void opencog::IndefiniteTruthValue::setDefaultConfidenceLevel ( confidence_t c )

inlinestatic

Definition at line 162 of file IndefiniteTruthValue.h.

References DEFAULT_CONFIDENCE_LEVEL.

static void opencog::IndefiniteTruthValue::setDefaultK ( count_t k )

inlinestatic

Definition at line 165 of file IndefiniteTruthValue.h.

References DEFAULT_K.

void IndefiniteTruthValue::setDiff ( strength_t diff )

Definition at line 250 of file IndefiniteTruthValue.cc.

References diff.

void IndefiniteTruthValue::setFirstOrderDistribution ( const std::vector< strength_t * > & v )

Definition at line 255 of file IndefiniteTruthValue.cc.

References firstOrderDistribution.

void IndefiniteTruthValue::setL ( strength_t l )

Definition at line 221 of file IndefiniteTruthValue.cc.

References confidence, count, diff, L, and mean.

void IndefiniteTruthValue::setMean ( strength_t m )

Definition at line 265 of file IndefiniteTruthValue.cc.

References reorder_log::m, and mean.

void opencog::IndefiniteTruthValue::setSymmetric ( bool s )

inline

Definition at line 109 of file IndefiniteTruthValue.h.

References s, and symmetric.

void IndefiniteTruthValue::setU ( strength_t u )

Definition at line 233 of file IndefiniteTruthValue.cc.

References confidence, count, diff, mean, and U.

std::string IndefiniteTruthValue::toString ( ) const

virtual

Implements opencog::TruthValue.

Definition at line 312 of file IndefiniteTruthValue.cc.

References confidenceLevel, diff, L, mean, symmetric, and U.

Member Data Documentation

confidence_t opencog::IndefiniteTruthValue::confidence

mutableprivate

Definition at line 75 of file IndefiniteTruthValue.h.

confidence_t opencog::IndefiniteTruthValue::confidenceLevel

private

referred as "b" in the paper

Definition at line 56 of file IndefiniteTruthValue.h.

count_t opencog::IndefiniteTruthValue::count

mutableprivate

Definition at line 74 of file IndefiniteTruthValue.h.

confidence_t IndefiniteTruthValue::DEFAULT_CONFIDENCE_LEVEL = 0.9

static

Definition at line 158 of file IndefiniteTruthValue.h.

count_t IndefiniteTruthValue::DEFAULT_K = 2.0

static

Definition at line 159 of file IndefiniteTruthValue.h.

strength_t opencog::IndefiniteTruthValue::diff

private

used in inference rule procedure in order to compute L1 and U1 when diff is negative it means that it is outdated and must be recalculated

Definition at line 62 of file IndefiniteTruthValue.h.

strength_t IndefiniteTruthValue::diffError = 0.001

static

Definition at line 160 of file IndefiniteTruthValue.h.

std::vector<strength_t*> opencog::IndefiniteTruthValue::firstOrderDistribution

private

Definition at line 78 of file IndefiniteTruthValue.h.

strength_t opencog::IndefiniteTruthValue::L

private

Definition at line 55 of file IndefiniteTruthValue.h.

strength_t opencog::IndefiniteTruthValue::mean

mutableprivate

Definition at line 73 of file IndefiniteTruthValue.h.

strength_t IndefiniteTruthValue::s = 0.5

static

Definition at line 161 of file IndefiniteTruthValue.h.

bool opencog::IndefiniteTruthValue::symmetric

private

Definition at line 57 of file IndefiniteTruthValue.h.

strength_t opencog::IndefiniteTruthValue::U

private

Definition at line 54 of file IndefiniteTruthValue.h.

The documentation for this class was generated from the following files:

opencog/atomspace/IndefiniteTruthValue.h
opencog/atomspace/IndefiniteTruthValue.cc

Public Member Functions

Static Public Member Functions

Static Public Attributes

Private Member Functions

Private Attributes

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation