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	diff --git a/examples/agent-functionalities/Reliability-functionality/Reliability-functionality.cpp b/examples/agent-functionalities/Reliability-functionality/Reliability-functionality.cpp
	index 93aba31..9d6ddd3 100644
	--- a/examples/agent-functionalities/Reliability-functionality/Reliability-functionality.cpp
	+++ b/examples/agent-functionalities/Reliability-functionality/Reliability-functionality.cpp
	@@ -1,247 +1,247 @@
	//===- examples/agent-functionalities/Reliability-functionality.cpp C++--===//
	//
	// The RoSA Framework
	//
	//===----------------------------------------------------------------------===//
	///
	/// \file examples/agent-functionalities/Reliability-functionality.cpp
	///
	/// \author Daniel Schnoell (daniel.schnoell@tuwien.ac.at )
	///
	/// \date 2019
	///
	/// \brief A simple example on defining Relianility Functionalities.
	///
	//===----------------------------------------------------------------------===//

	#define Reliability_trace_level 5

	#include "rosa/config/version.h"

	#include "rosa/support/log.h"

	#include "rosa/agent/CrossCombinator.h"
	#include "rosa/agent/RangeConfidence.hpp"
	#include "rosa/agent/ReliabilityConfidenceCombinator.h"

	#include <map>
	#include <vector>

	using namespace rosa::agent;

	int main(void) {
	typedef double SensorValueType;
	typedef long StateType;
	typedef double ReliabilityType;

	std::unique_ptr<RangeConfidence<ReliabilityType, StateType, SensorValueType>>
	Confidence(new RangeConfidence<ReliabilityType, StateType,
	SensorValueType>(
	{{0, PartialFunction<double, double>(
	{
	{{0, 3},
	std::make_shared<LinearFunction<double, double>>(
	0, 1.0 / 3)},
	{{3, 6},
	std::make_shared<LinearFunction<double, double>>(1, 0)},
	{{6, 9},
	std::make_shared<LinearFunction<double, double>>(
	3.0, -1.0 / 3)},
	},
	0)},
	{1, PartialFunction<double, double>(
	{
	{{6, 9},
	std::make_shared<LinearFunction<double, double>>(
	-2, 1.0 / 3)},
	{{9, 12},
	std::make_shared<LinearFunction<double, double>>(1, 0)},
	{{12, 15},
	std::make_shared<LinearFunction<double, double>>(
	5, -1.0 / 3)},
	},
	0)},
	{2, PartialFunction<double, double>(
	{
	{{12, 15},
	std::make_shared<LinearFunction<double, double>>(
	-4, 1.0 / 3)},
	{{15, 18},
	std::make_shared<LinearFunction<double, double>>(1, 0)},
	{{18, 21},
	std::make_shared<LinearFunction<double, double>>(
	7, -1.0 / 3)},
	},
	0)}}));

	std::unique_ptr<Abstraction<SensorValueType, ReliabilityType>> Reliability(
	new LinearFunction<SensorValueType, ReliabilityType>(1, -1.0 / 3));

	std::unique_ptr<Abstraction<SensorValueType, ReliabilityType>>
	ReliabilitySlope(
	new LinearFunction<SensorValueType, ReliabilityType>(1, -1.0 / 3));

	std::unique_ptr<Abstraction<std::size_t, ReliabilityType>> TimeConfidence(
	new LinearFunction<std::size_t, ReliabilityType>(1, -1.0 / 3));

	auto lowlevel =
	new ReliabilityAndConfidenceCombinator<SensorValueType, StateType,
	ReliabilityType>();

	std::vector<long> states;
	states.push_back(0);
	states.push_back(1);
	states.push_back(2);

	lowlevel->setConfidenceFunction(Confidence);
	lowlevel->setReliabilityFunction(Reliability);
	lowlevel->setReliabilitySlopeFunction(ReliabilitySlope);
	lowlevel->setTimeConfidenceFunction(TimeConfidence);
	lowlevel->setStates(states);
	lowlevel->setHistoryLength(2);
	lowlevel->setValueSetCounter(1);

	/* ----------------------------- Do Something
	* ---------------------------------------------------------------- */
	std::cout << "Testing the lowlevel component with static feedback telling it "
	"that the most lickely state is 2.\n";
	for (int a = 0; a < 30; a++)
	std::cout << "a: " << a << "\n"
	<< (lowlevel->feedback({{0, 0}, {1, 0.3}, {2, 0.8}}),
	- lowlevel->mostLikelyIdentifierAndReliability(a))
	+ lowlevel->getmostLikelyIdentifierAndReliability(a))
	<< "\n";


	std::cout << "---------------------------------------------------------------"
	"---------------------------------\n";
	std::cout << "------------------------------------High level "
	"Test---------------------------------------------\n";

	std::cout
	<< "Configured in a way that the Master thinks that both Sensors "
	"should have the same State.\n While feeding both the \"opposite\" "
	"values one acending the other decending from the maximum.\n";

	std::unique_ptr<RangeConfidence<ReliabilityType, StateType, SensorValueType>>
	Confidence2(new RangeConfidence<ReliabilityType, StateType,
	SensorValueType>(
	{{0, PartialFunction<double, double>(
	{
	{{0, 3},
	std::make_shared<LinearFunction<double, double>>(
	0, 1.0 / 3)},
	{{3, 6},
	std::make_shared<LinearFunction<double, double>>(1, 0)},
	{{6, 9},
	std::make_shared<LinearFunction<double, double>>(
	3.0, -1.0 / 3)},
	},
	0)},
	{1, PartialFunction<double, double>(
	{
	{{6, 9},
	std::make_shared<LinearFunction<double, double>>(
	-2, 1.0 / 3)},
	{{9, 12},
	std::make_shared<LinearFunction<double, double>>(1, 0)},
	{{12, 15},
	std::make_shared<LinearFunction<double, double>>(
	5, -1.0 / 3)},
	},
	0)},
	{2, PartialFunction<double, double>(
	{
	{{12, 15},
	std::make_shared<LinearFunction<double, double>>(
	-4, 1.0 / 3)},
	{{15, 18},
	std::make_shared<LinearFunction<double, double>>(1, 0)},
	{{18, 21},
	std::make_shared<LinearFunction<double, double>>(
	7, -1.0 / 3)},
	},
	0)}}));

	std::unique_ptr<Abstraction<SensorValueType, ReliabilityType>> Reliability2(
	new LinearFunction<SensorValueType, ReliabilityType>(1, -1.0 / 9));

	std::unique_ptr<Abstraction<SensorValueType, ReliabilityType>>
	ReliabilitySlope2(
	new LinearFunction<SensorValueType, ReliabilityType>(1, -1.0 / 9));

	std::unique_ptr<Abstraction<std::size_t, ReliabilityType>> TimeConfidence2(
	new LinearFunction<std::size_t, ReliabilityType>(1, -1.0 / 9));

	auto lowlevel2 =
	new ReliabilityAndConfidenceCombinator<SensorValueType, StateType,
	ReliabilityType>();

	std::vector<long> states2;
	states2.push_back(0);
	states2.push_back(1);
	states2.push_back(2);

	lowlevel2->setConfidenceFunction(Confidence2);
	lowlevel2->setReliabilityFunction(Reliability2);
	lowlevel2->setReliabilitySlopeFunction(ReliabilitySlope2);
	lowlevel2->setTimeConfidenceFunction(TimeConfidence2);
	lowlevel2->setStates(states2);
	lowlevel2->setHistoryLength(2);
	lowlevel2->setValueSetCounter(1);

	CrossCombinator<StateType, ReliabilityType> *highlevel =
	new CrossCombinator<StateType, ReliabilityType>();

	std::unique_ptr<Abstraction<long, double>> func1(new PartialFunction<long, double>(
	{
	{{0, 1}, std::make_shared<LinearFunction<long, double>>(1, 0)},
	{{1, 2}, std::make_shared<LinearFunction<long, double>>(2, -1.0)},
	},
	0));

	highlevel->addCrossReliabilityProfile(0, 1, func1);
	highlevel->setCrossReliabilityCombinatorMethod(
	CrossCombinator<StateType, ReliabilityType>::AVERAGE);
	highlevel->setCrossReliabilityParameter(1);

	highlevel->addStates(0, states);
	highlevel->addStates(1, states);

	for (int a = 0; a < 21; a++) {
	- auto out1 = lowlevel->mostLikelyIdentifierAndReliability(a),
	- out2 = lowlevel2->mostLikelyIdentifierAndReliability((int)21 - a);
	+ auto out1 = lowlevel->getmostLikelyIdentifierAndReliability(a),
	+ out2 = lowlevel2->getmostLikelyIdentifierAndReliability((int)21 - a);
	std::cout << "s1: " << out1 << "\ns2:" << out2 << "\n";
	std::vector<std::tuple<rosa::id_t, StateType, ReliabilityType>> tmp2;
	tmp2.push_back({0, out1.Identifier, out1.Reliability});
	tmp2.push_back({1, out2.Identifier, out2.Reliability});

	auto out_o = highlevel->operator()(tmp2);
	std::cout << "it: " << a << "\t rel: " << out_o.CrossReliability << "\n";
	std::cout << "\t subs:\n";
	for (auto q : out_o.CrossConfidence) {
	std::cout << "\t\t id:" << q.first << "\n";
	/*
	for(auto z: q.second)
	{
	std::cout << "\t\t\t Identifier: " << z.Identifier << "\tRel: " << z.Reliability
	<< "\n"; tmp.push_back({z.Identifier,z.Reliability});
	}
	*/
	for (auto z : q.second) {
	std::cout << "\t\t\t Identifier: " << z.Identifier << "\tRel: " << z.Reliability
	<< "\n";
	}

	if (q.first == 0)
	lowlevel->feedback(q.second);
	else
	lowlevel2->feedback(q.second);
	}
	}
	/* ----------------------------- Cleanup
	* --------------------------------------------------------------------- */

	delete highlevel;
	delete lowlevel;
	delete lowlevel2;
	}
	\ No newline at end of file
	diff --git a/include/rosa/agent/ReliabilityConfidenceCombinator.h b/include/rosa/agent/ReliabilityConfidenceCombinator.h
	index 1efb7dd..901a12e 100644
	--- a/include/rosa/agent/ReliabilityConfidenceCombinator.h
	+++ b/include/rosa/agent/ReliabilityConfidenceCombinator.h
	@@ -1,758 +1,804 @@
	//===-- rosa/agent/ReliabilityConfidenceCombinator.h ------------- C++ --===//
	//
	// The RoSA Framework
	//
	//===----------------------------------------------------------------------===//
	///
	/// \file rosa/agent/ReliabilityConfidenceCombinator.h
	///
	/// \author Daniel Schnoell (daniel.schnoell@tuwien.ac.at)
	///
	/// \date 2019
	///
	/// \brief Definition of ReliabilityConfidenceCombinator functionality.
	///
	/// \note based on Maximilian Goetzinger (maxgot@utu.fi) code in
	/// CAM_Dirty_include SA-EWS2_Version... inside Agent.cpp
	///
	/// \note By defining and setting Reliability_trace_level it is possible to
	/// change the level to which it should be traced. \note All classes throw
	/// runtime errors if not all things are set
	///
	/// \note should the Reliability be capped?
	///
	///
	//===----------------------------------------------------------------------===//

	#ifndef ROSA_AGENT_ReliabilityConfidenceCombinator_H
	#define ROSA_AGENT_ReliabilityConfidenceCombinator_H

	#include "rosa/core/forward_declarations.h" // needed for id_t
	#include "rosa/support/log.h"

	#include "rosa/agent/FunctionAbstractions.hpp"
	#include "rosa/agent/Functionality.h"
	#include "rosa/agent/RangeConfidence.hpp"

	#include <algorithm>
	#include <type_traits>
	#include <vector>

	/// 0 everything
	/// 1 vectors
	/// 2 outputs
	#define trace_everything 0
	#define trace_vectors 1
	#define trace_outputs 2

	#ifndef Reliability_trace_level
	#define Reliability_trace_level 0
	#endif
	#define trace_end "\n\n\n"

	namespace rosa {
	namespace agent {
	/// This is a struct with a few methods that make Reliability Combinator
	/// more readable \tparam IdentifierType The datatype of the States \tparam
	/// ReliabilityType The datatype of the Reliability
	template <typename IdentifierType, typename ReliabilityType> struct ConfOrRel {
	/// making both Template Arguments readable to make a few things easier
	using _IdentifierType = IdentifierType;
	/// making both Template Arguments readable to make a few things easier
	using _ReliabilityType = ReliabilityType;

	/// The actual place where the data is stored
	IdentifierType Identifier;
	/// The actual place where the data is stored
	ReliabilityType Reliability;

	ConfOrRel(IdentifierType _Identifier, ReliabilityType _Reliability)
	: Identifier(_Identifier), Reliability(_Reliability){};
	ConfOrRel(){};

	/// Pushes the Data in a Human readable form
	/// \param out The stream where it is written to
	/// \param c The struct itself
	friend std::ostream &operator<<(std::ostream &out, const ConfOrRel &c) {
	- out << "Identifier: " << c.Identifier << "\t Reliability: " << c.Reliability << " ";
	+ out << "Identifier: " << c.Identifier << "\t Reliability: " << c.Reliability
	+ << " ";
	return out;
	}

	/// needed or it throws an clang diagnosic error
	- using map = std::map<IdentifierType, ReliabilityType>; // needed or it throws an
	- // clang diagnosic error
	+ using map =
	+ std::map<IdentifierType, ReliabilityType>; // needed or it throws an
	+ // clang diagnosic error
	/// Filles the vector with the data inside the map
	/// \param me The vector to be filled
	/// \param data The data wich is to be pushed into the vector
	friend std::vector<ConfOrRel> &operator<<(std::vector<ConfOrRel> &me,
	map &&data) {
	for (auto tmp : data) {
	me.push_back(ConfOrRel(tmp.first, tmp.second));
	#if Reliability_trace_level <= trace_everything
	LOG_TRACE_STREAM << "\n" << ConfOrRel(tmp.first, tmp.second) << trace_end;
	#endif
	}
	return me;
	}

	/// This is to push the data inside a vector in a human readable way into the
	/// ostream \param out The ostream \param c The vector which is read
	friend std::ostream &operator<<(std::ostream &out,
	const std::vector<ConfOrRel> &c) {
	std::size_t index = 0;
	for (ConfOrRel data : c) {
	out << index << " : " << data << "\n";
	index++;
	}
	return out;
	}
	};

	/// This calculates the minimum of the Reliabilities & the given value
	/// \param me The vector with the Reliabilities
	/// \param value The comparing value
	template <typename Conf>
	std::vector<Conf> min(std::vector<Conf> me,
	typename Conf::_ReliabilityType value) {
	static_assert(std::is_arithmetic<typename Conf::_ReliabilityType>::value);
	for (auto tmp : me)
	tmp.Reliability = std::min(tmp.Reliability, value);
	return me;
	}
	/// This calculates the maximum of the Reliabilities & the given value
	/// \param me The vector with the Reliabilities
	/// \param value The comparing value
	template <typename Conf>
	std::vector<Conf> max(std::vector<Conf> me,
	typename Conf::_ReliabilityType value) {
	static_assert(std::is_arithmetic<typename Conf::_ReliabilityType>::value);
	for (auto tmp : me)
	tmp.Reliability = std::max(tmp.Reliability, value);
	return me;
	}
	/// This calculates the average of the Reliabilities & the given value
	/// \param me The vector with the Reliabilities
	/// \param value The comparing value
	template <typename Conf>
	std::vector<Conf> average(std::vector<Conf> me,
	typename Conf::_ReliabilityType value) {
	static_assert(std::is_arithmetic<typename Conf::_ReliabilityType>::value);
	for (auto tmp : me)
	tmp.Reliability = (tmp.Reliability + value) / 2;
	return me;
	}

	/// This calculates the average of the Reliabilities & the given value
	/// \param me The vector with the Reliabilities
	/// \param value The comparing value
	template <typename Conf>
	std::vector<Conf> mult(std::vector<Conf> me,
	typename Conf::_ReliabilityType value) {
	static_assert(std::is_arithmetic<typename Conf::_ReliabilityType>::value);
	for (auto tmp : me)
	tmp.Reliability = tmp.Reliability * value / 2;
	return me;
	}

	/// This average's the Reliabilities of the same Identifiers
	template <typename Conf>
	std::vector<Conf> average(std::vector<Conf> A, std::vector<Conf> B) {
	static_assert(std::is_arithmetic<typename Conf::_ReliabilityType>::value);
	for (auto &tmp_me : A)
	for (auto &tmp_other : B) {
	if (tmp_me.Identifier == tmp_other.Identifier) {
	tmp_me.Reliability = (tmp_me.Reliability + tmp_other.Reliability) / 2;
	}
	}
	return A;
	}
	/// This min's the Reliabilities of the same Identifiers
	template <typename Conf>
	std::vector<Conf> min(std::vector<Conf> A, std::vector<Conf> B) {
	static_assert(std::is_arithmetic<typename Conf::_ReliabilityType>::value);
	for (auto &tmp_me : A)
	for (auto &tmp_other : B) {
	if (tmp_me.Identifier == tmp_other.Identifier) {
	tmp_me.Reliability =
	std::min(tmp_me.Reliability + tmp_other.Reliability);
	}
	}
	return A;
	}
	/// This max's the Reliabilities of the same Identifiers
	template <typename Conf>
	std::vector<Conf> max(std::vector<Conf> A, std::vector<Conf> B) {
	static_assert(std::is_arithmetic<typename Conf::_ReliabilityType>::value);
	for (auto &tmp_me : A)
	for (auto &tmp_other : B) {
	if (tmp_me.Identifier == tmp_other.Identifier) {
	tmp_me.Reliability =
	std::max(tmp_me.Reliability + tmp_other.Reliability);
	}
	}
	return A;
	}
	/// This mult's the Reliabilities of the same Identifiers
	template <typename Conf>
	std::vector<Conf> mult(std::vector<Conf> A, std::vector<Conf> B) {
	static_assert(std::is_arithmetic<typename Conf::_ReliabilityType>::value);
	for (auto &tmp_me : A)
	for (auto &tmp_other : B) {
	if (tmp_me.Identifier == tmp_other.Identifier) {
	tmp_me.Reliability = tmp_me.Reliability * tmp_other.Reliability;
	}
	}
	return A;
	}

	/// This is the combinator for Reliability and confidences it takes the
	/// Sensor value, its "History" and feedback from \c
	/// CrossCombinator to calculate different Reliabilities.
	/// \tparam SensorValueType Datatype of the Sensor value ( Typically
	-/// double or float) \tparam IdentifierType Datatype of the State ( Typically long or
	-/// int)
	+/// double or float) \tparam IdentifierType Datatype of the State ( Typically
	+/// long or int)
	/// \tparam ReliabilityType Datatype of the Reliability (
	/// Typically double or float)
	///
	/// \note more information about how it calculates
	-/// the Reliabilities
	+/// the Reliabilities it should be considered feedback is a sort of Confidence
	/// \verbatim
	///----------------------------------------------------------------------------------
	///
	///
	/// ->Reliability---> getInputReliability()
	/// \| \|
	/// \| V
	-/// Sensor Value ---\| PossibleIdentifierCombinationMethod -> next line
	+/// Sensor Value ---\| PossibleIdentifierCombinationMethod -> next line
	/// \| A \|
	/// \| \| V
	/// ->Confidence--- getPossibleIdentifiers()
	///
	///-----------------------------------------------------------------------------------
	///
	/// feedback
	/// \|
	/// V
	/// ValuesFromMaster
	/// \| -> History ---\|
	/// V \| V
	/// here -> FeedbackCombinatorMethod --------> HistoryCombinatorMethod->nextline
	/// \| \|
	/// V V
	-/// getpossibleIdentifiersWithMasterFeedback() getPossibleIdentifiersWithHistory()
	+/// getpossibleIdentifiersWithMasterFeedback()getPossibleIdentifiersWithHistory()
	///
	///----------------------------------------------------------------------------------
	///
	-/// here -> sort -> most likely -> mostLikelyIdentifierAndReliability()
	+/// here -> sort -> most likely -> getmostLikelyIdentifierAndReliability()
	///
	/// ---------------------------------------------------------------------------------
	/// \endverbatim
	/// the mentioned methods are early outs so if two ore more of them are run in
	/// the same step they will be interpreted as different time steps
	/// <pre>
	/// Default values for Combinators:
	/// InputReliabilityCombinator = combinationMin;
	-/// PossibleIdentifierCombinationMethod = PossibleIdentifierCombinationMethodMin;
	+/// PossibleIdentifierCombinationMethod=PossibleIdentifierCombinationMethodMin;
	/// FeedbackCombinatorMethod = FeedbackCombinatorMethodAverage;
	/// HistoryCombinatorMethod = HistoryCombinatorMethodMax;
	/// </pre>
	+/// To understand the place where the combinator methods come into play a list
	+/// for each getter which Methods are used.
	+///
	+/// <pre>
	+/// \c getInputReliability():
	+/// -InputReliabilityCombinator
	+/// \c getPossibleIdentifiers():
	+/// -InputReliabilityCombinator
	+/// -PossibleIdentifierCombinationMethod
	+/// \c getpossibleIdentifiersWithMasterFeedback():
	+/// -InputReliabilityCombinator
	+/// -PossibleIdentifierCombinationMethod
	+/// -FeedbackCombinatorMethod
	+/// \c getPossibleIdentifiersWithHistory():
	+/// -InputReliabilityCombinator
	+/// -PossibleIdentifierCombinationMethod
	+/// -FeedbackCombinatorMethod
	+/// -HistoryCombinatorMethod
	+/// \c getmostLikelyIdentifierAndReliability():
	+/// -InputReliabilityCombinator
	+/// -PossibleIdentifierCombinationMethod
	+/// -FeedbackCombinatorMethod
	+/// -HistoryCombinatorMethod
	+/// </pre>
	+///
	///
	///
	///
	template <typename SensorValueType, typename IdentifierType,
	typename ReliabilityType>
	class ReliabilityAndConfidenceCombinator {
	public:
	static_assert(std::is_arithmetic<SensorValueType>::value,
	"LowLevel: SensorValueType has to an arithmetic type\n");
	static_assert(std::is_arithmetic<IdentifierType>::value,
	"LowLevel: IdentifierType has to an arithmetic type\n");
	static_assert(std::is_arithmetic<ReliabilityType>::value,
	"LowLevel: ReliabilityType has to an arithmetic type\n");

	/// Typedef to shorten the writing.
	/// \c ConfOrRel
	using ConfOrRel = ConfOrRel<IdentifierType, ReliabilityType>;

	/// Calculates the input reliability by combining Reliability of the Sensor
	/// and the Slope Reliability \param SensorValue The sensor Value \note to set
	/// the combination method \c setInputReliabilityCombinator()
	auto getInputReliability(SensorValueType SensorValue) {
	auto inputReliability =
	getReliability(SensorValue, previousSensorValue, valueSetCounter);
	previousSensorValue = SensorValue;
	PreviousSensorValueExists = true;
	return inputReliability;
	}

	- /// Calculates the Reliability
	- /// \param SensorValue The current Values of the Sensor
	- ///
	- /// \return Reliability and Identifier of the current SensorValue
	- ///
	- ConfOrRel mostLikelyIdentifierAndReliability(SensorValueType SensorValue) {
	-#if Reliability_trace_level <= trace_outputs
	- LOG_TRACE_STREAM << "\nTrace level is set to: " << Reliability_trace_level
	- << "\n"
	- << "Will trace: "
	- << ((Reliability_trace_level == trace_outputs)
	- ? "outputs"
	- : (Reliability_trace_level == trace_vectors)
	- ? "vectors"
	- : (Reliability_trace_level ==
	- trace_everything)
	- ? "everything"
	- : "undefined")
	- << trace_end;
	-#endif
	-
	- std::vector<ConfOrRel> ActuallPossibleIdentifiers;
	- std::vector<ConfOrRel> possibleIdentifiers;
	- ReliabilityType inputReliability = getInputReliability(SensorValue);
	-
	-#if Reliability_trace_level <= trace_vectors
	- LOG_TRACE_STREAM << "\ninput Rel: " << inputReliability << trace_end;
	-#endif
	-
	- possibleIdentifiers << Confidence->operator()(SensorValue);
	-
	- possibleIdentifiers =
	- PossibleIdentifierCombinationMethod(possibleIdentifiers, inputReliability);
	- possibleIdentifiers = FeedbackCombinatorMethod(possibleIdentifiers, ValuesFromMaster);
	-
	- saveInHistory(possibleIdentifiers);
	-#if Reliability_trace_level <= trace_vectors
	- LOG_TRACE_STREAM << "\nActuallPossibleIdentifiers:\n"
	- << possibleIdentifiers << trace_end;
	- LOG_TRACE_STREAM << "\npossibleIdentifiers:\n" << possibleIdentifiers << trace_end;
	-#endif
	- possibleIdentifiers.clear();
	-
	- possibleIdentifiers = getAllPossibleIdentifiersBasedOnHistory();
	-
	- std::sort(possibleIdentifiers.begin(), possibleIdentifiers.end(),
	- [](ConfOrRel A, ConfOrRel B) -> bool {
	- return A.Reliability > B.Reliability;
	- });
	-
	-#if Reliability_trace_level <= trace_outputs
	- LOG_TRACE_STREAM << "\noutput lowlevel: " << possibleIdentifiers.at(0)
	- << trace_end;
	-#endif
	- return possibleIdentifiers.at(0);
	- }
	-
	/// Calculates the possible Identifiers
	/// \param SensorValue the Sensor Value
	/// \brief it combines the input reliability and the confidence of the Sensor.
	/// The use combination method can be set using \c
	/// setPossibleIdentifierCombinationMethod()
	auto getPossibleIdentifiers(SensorValueType SensorValue) {
	std::vector<ConfOrRel> possibleIdentifiers;
	ReliabilityType inputReliability = getInputReliability(SensorValue);

	#if Reliability_trace_level <= trace_vectors
	LOG_TRACE_STREAM << "\ninput Rel: " << inputReliability << trace_end;
	#endif

	possibleIdentifiers << Confidence->operator()(SensorValue);
	- possibleIdentifiers =
	- PossibleIdentifierCombinationMethod(possibleIdentifiers, inputReliability);
	+ possibleIdentifiers = PossibleIdentifierCombinationMethod(
	+ possibleIdentifiers, inputReliability);
	return possibleIdentifiers;
	}

	/// return the Possible Values with the feedback in mind
	/// \param SensorValue The sensor Value
	/// \brief it combines the input reliability and the confidence of the Sensor.
	/// The combines them with FeedbackCombinatorMethod and returns the result.
	auto getpossibleIdentifiersWithMasterFeedback(SensorValueType SensorValue) {
	std::vector<ConfOrRel> possibleIdentifiers;
	ReliabilityType inputReliability = getInputReliability(SensorValue);

	#if Reliability_trace_level <= trace_vectors
	LOG_TRACE_STREAM << "\ninput Rel: " << inputReliability << trace_end;
	#endif

	possibleIdentifiers << Confidence->operator()(SensorValue);

	- possibleIdentifiers =
	- PossibleIdentifierCombinationMethod(possibleIdentifiers, inputReliability);
	+ possibleIdentifiers = PossibleIdentifierCombinationMethod(
	+ possibleIdentifiers, inputReliability);

	- possibleIdentifiers = FeedbackCombinatorMethod(possibleIdentifiers, ValuesFromMaster);
	+ possibleIdentifiers =
	+ FeedbackCombinatorMethod(possibleIdentifiers, ValuesFromMaster);
	return possibleIdentifiers;
	}

	- /// returns all possible Identifiers and Reliabilities with the History in mind
	- /// \param SensorValue the Sensor value
	- /// how this is done is described at the class.
	+ /// returns all possible Identifiers and Reliabilities with the History in
	+ /// mind \param SensorValue the Sensor value how this is done is described at
	+ /// the class.
	auto getPossibleIdentifiersWithHistory(SensorValueType SensorValue) {
	std::vector<ConfOrRel> ActuallPossibleIdentifiers;
	std::vector<ConfOrRel> possibleIdentifiers;
	ReliabilityType inputReliability = getInputReliability(SensorValue);

	#if Reliability_trace_level <= trace_vectors
	LOG_TRACE_STREAM << "\ninput Rel: " << inputReliability << trace_end;
	#endif

	possibleIdentifiers << Confidence->operator()(SensorValue);

	+ possibleIdentifiers = PossibleIdentifierCombinationMethod(
	+ possibleIdentifiers, inputReliability);
	possibleIdentifiers =
	- PossibleIdentifierCombinationMethod(possibleIdentifiers, inputReliability);
	- possibleIdentifiers = FeedbackCombinatorMethod(possibleIdentifiers, ValuesFromMaster);
	+ FeedbackCombinatorMethod(possibleIdentifiers, ValuesFromMaster);

	saveInHistory(possibleIdentifiers);
	#if Reliability_trace_level <= trace_vectors
	LOG_TRACE_STREAM << "\nActuallPossibleIdentifiers:\n"
	<< possibleIdentifiers << trace_end;
	- LOG_TRACE_STREAM << "\npossibleIdentifiers:\n" << possibleIdentifiers << trace_end;
	+ LOG_TRACE_STREAM << "\npossibleIdentifiers:\n"
	+ << possibleIdentifiers << trace_end;
	#endif
	possibleIdentifiers.clear();

	return getAllPossibleIdentifiersBasedOnHistory();
	}

	+
	+ /// Calculates the Reliability
	+ /// \param SensorValue The current Values of the Sensor
	+ ///
	+ /// \return Reliability and Identifier of the current SensorValue
	+ ///
	+ ConfOrRel getmostLikelyIdentifierAndReliability(SensorValueType SensorValue) {
	+#if Reliability_trace_level <= trace_outputs
	+ LOG_TRACE_STREAM << "\nTrace level is set to: " << Reliability_trace_level
	+ << "\n"
	+ << "Will trace: "
	+ << ((Reliability_trace_level == trace_outputs)
	+ ? "outputs"
	+ : (Reliability_trace_level == trace_vectors)
	+ ? "vectors"
	+ : (Reliability_trace_level ==
	+ trace_everything)
	+ ? "everything"
	+ : "undefined")
	+ << trace_end;
	+#endif
	+
	+ std::vector<ConfOrRel> ActuallPossibleIdentifiers;
	+ std::vector<ConfOrRel> possibleIdentifiers;
	+ ReliabilityType inputReliability = getInputReliability(SensorValue);
	+
	+#if Reliability_trace_level <= trace_vectors
	+ LOG_TRACE_STREAM << "\ninput Rel: " << inputReliability << trace_end;
	+#endif
	+
	+ possibleIdentifiers << Confidence->operator()(SensorValue);
	+
	+ possibleIdentifiers = PossibleIdentifierCombinationMethod(
	+ possibleIdentifiers, inputReliability);
	+ possibleIdentifiers =
	+ FeedbackCombinatorMethod(possibleIdentifiers, ValuesFromMaster);
	+
	+ saveInHistory(possibleIdentifiers);
	+#if Reliability_trace_level <= trace_vectors
	+ LOG_TRACE_STREAM << "\nActuallPossibleIdentifiers:\n"
	+ << possibleIdentifiers << trace_end;
	+ LOG_TRACE_STREAM << "\npossibleIdentifiers:\n"
	+ << possibleIdentifiers << trace_end;
	+#endif
	+ possibleIdentifiers.clear();
	+
	+ possibleIdentifiers = getAllPossibleIdentifiersBasedOnHistory();
	+
	+ std::sort(possibleIdentifiers.begin(), possibleIdentifiers.end(),
	+ [](ConfOrRel A, ConfOrRel B) -> bool {
	+ return A.Reliability > B.Reliability;
	+ });
	+
	+#if Reliability_trace_level <= trace_outputs
	+ LOG_TRACE_STREAM << "\noutput lowlevel: " << possibleIdentifiers.at(0)
	+ << trace_end;
	+#endif
	+ return possibleIdentifiers.at(0);
	+ }
	+
	+
	/// feedback for this functionality most commonly it comes from a Master Agent
	/// \param ValuesFromMaster The Identifiers + Reliability for the feedback
	/// \brief This input kind of resembles a confidence but not
	- /// directly it more or less says: compared to the other Identifiers inside the
	- /// System these are the Identifiers with the Reliability that you have.
	+ /// directly it more or less says: compared to the other Identifiers inside
	+ /// the System these are the Identifiers with the Reliability that you have.
	void feedback(std::vector<ConfOrRel> ValuesFromMaster) {
	this->ValuesFromMaster = ValuesFromMaster;
	}

	//
	// ----------------------Reliability and Confidence Function setters----------
	//
	/// This is the setter for Confidence Function
	/// \param Confidence A pointer to the Functional for the \c Confidence of the
	/// Sensor value
	void setConfidenceFunction(
	std::unique_ptr<RangeConfidence<ReliabilityType, IdentifierType,
	SensorValueType>> &Confidence) {
	this->Confidence = std::move(Confidence);
	}

	/// This is the setter for Reliability Function
	/// \param Reliability A pointer to the Functional for the Reliability
	/// \brief The Reliability takes the current Sensor value and return the
	/// Reliability of the value.
	void setReliabilityFunction(
	std::unique_ptr<Abstraction<SensorValueType, ReliabilityType>>
	&Reliability) {
	this->Reliability = std::move(Reliability);
	}

	/// This is the setter for ReliabilitySlope Function
	/// \param ReliabilitySlope A pointer to the Functional for the
	/// ReliabilitySlope
	/// \brief The ReliabilitySlope takes the difference of the current Sensor
	/// Value to the last one and tells you how likely the change is.
	void setReliabilitySlopeFunction(
	std::unique_ptr<Abstraction<SensorValueType, ReliabilityType>>
	&ReliabilitySlope) {
	this->ReliabilitySlope = std::move(ReliabilitySlope);
	}

	/// This is the setter for TimeConfidence Function
	/// \param TimeConfidence A pointer to the Functional for the TimeConfidence
	/// \brief The time function takes the position in the History with greater
	/// equals older and return a Reliability of how "relevant" it is.
	void setTimeConfidenceFunction(
	std::unique_ptr<Abstraction<std::size_t, ReliabilityType>>
	&TimeConfidence) {
	this->TimeConfidence = std::move(TimeConfidence);
	}

	/// This is the setter for all possible States
	/// \param states A vector containing all states
	/// \brief This exists even though \c State Type is an arithmetic Type because
	/// the states do not need to be "next" to each other ( ex. states={ 1 7 24 })
	void setStates(std::vector<IdentifierType> states) { this->States = states; }

	/// This sets the Maximum length of the History
	/// \param length The length
	void setHistoryLength(std::size_t length) { this->HistoryMaxSize = length; }

	/// This sets the Value set Counter
	/// \param ValueSetCounter the new Value
	/// \note This might actually be only an artifact. It is only used to get the
	/// reliability from the \c ReliabilitySlope [ ReliabilitySlope->operator()(
	/// (lastValue - actualValue) / (SensorValueType)valueSetCounter) ]
	void setValueSetCounter(unsigned int ValueSetCounter) {
	this->valueSetCounter = ValueSetCounter;
	}

	//
	// ----------------combinator setters-----------------------------------------
	//

	/// This sets the combination method used by the History
	/// \param Meth the method which should be used. predefined \c
	/// HistoryCombinatorMethodMin() \c HistoryCombinatorMethodMax() \c
	/// HistoryCombinatorMethodMult() \c HistoryCombinatorMethodAverage()
	void setHistoryCombinatorMethod(ReliabilityType (*Meth)(ReliabilityType,
	ReliabilityType)) {
	HistoryCombinatorMethod = Meth;
	}

	- /// sets the predefined method for the combination of the possible Identifiers and
	- /// the master \param Meth the method predefined ones are
	- /// \c FeedbackCombinatorMethodAverage() \c FeedbackCombinatorMethodMin() \c
	+ /// sets the predefined method for the combination of the possible Identifiers
	+ /// and the master \param Meth the method predefined ones are \c
	+ /// FeedbackCombinatorMethodAverage() \c FeedbackCombinatorMethodMin() \c
	/// FeedbackCombinatorMethodMax() \c FeedbackCombinatorMethodMult()
	void setFeedbackCombinatorMethod(std::vector<ConfOrRel> (*Meth)(
	std::vector<ConfOrRel>, std::vector<ConfOrRel>)) {
	FeedbackCombinatorMethod = Meth;
	}

	/// Sets the used combination method for Possible Identifiers
	/// \param Meth a Pointer for the used Method. Predefined methods \c
	- /// PossibleIdentifierCombinationMethodMin() \c PossibleIdentifierCombinationMethodMax()
	- /// \c PossibleIdentifierCombinationMethodAverage()
	+ /// PossibleIdentifierCombinationMethodMin() \c
	+ /// PossibleIdentifierCombinationMethodMax() \c
	+ /// PossibleIdentifierCombinationMethodAverage()
	void setPossibleIdentifierCombinationMethod(
	std::vector<ConfOrRel> (*Meth)(std::vector<ConfOrRel>, ReliabilityType)) {
	PossibleIdentifierCombinationMethod = Meth;
	}

	/// sets the input reliability combinator method
	/// \param method the to be used method
	/// \note there are predefined methods \c combinationMin() \c combinationMax()
	/// \c combinationAverage()
	void setInputReliabilityCombinator(
	ReliabilityType (*method)(ReliabilityType, ReliabilityType)) {
	InputReliabilityCombinator = method;
	}

	//
	// ----------------predefined combinators------------------------------------
	//
	- /// predefined Method
	- static ReliabilityType HistoryCombinatorMethodMin(ReliabilityType A,
	- ReliabilityType B) {
	- return std::min(A, B);
	- }
	- /// predefined Method
	- static ReliabilityType HistoryCombinatorMethodMax(ReliabilityType A,
	- ReliabilityType B) {
	- return std::max(A, B);
	- }
	- /// predefined Method
	- static ReliabilityType HistoryCombinatorMethodMult(ReliabilityType A,
	- ReliabilityType B) {
	- return A * B;
	- }
	- /// predefined Method
	- static ReliabilityType HistoryCombinatorMethodAverage(ReliabilityType A,
	- ReliabilityType B) {
	- return (A + B) / 2;
	- }
	+ struct predefinedMethods {
	+ /// predefined Method
	+ static ReliabilityType HistoryCombinatorMethodMin(ReliabilityType A,
	+ ReliabilityType B) {
	+ return std::min(A, B);
	+ }
	+ /// predefined Method
	+ static ReliabilityType HistoryCombinatorMethodMax(ReliabilityType A,
	+ ReliabilityType B) {
	+ return std::max(A, B);
	+ }
	+ /// predefined Method
	+ static ReliabilityType HistoryCombinatorMethodMult(ReliabilityType A,
	+ ReliabilityType B) {
	+ return A * B;
	+ }
	+ /// predefined Method
	+ static ReliabilityType HistoryCombinatorMethodAverage(ReliabilityType A,
	+ ReliabilityType B) {
	+ return (A + B) / 2;
	+ }

	- /// predefined method
	- static std::vector<ConfOrRel>
	- FeedbackCombinatorMethodAverage(std::vector<ConfOrRel> A,
	- std::vector<ConfOrRel> B) {
	- return average(A, B);
	- }
	- /// predefined method
	- static std::vector<ConfOrRel>
	- FeedbackCombinatorMethodMin(std::vector<ConfOrRel> A,
	- std::vector<ConfOrRel> B) {
	- return min(A, B);
	- }
	- /// predefined method
	- static std::vector<ConfOrRel>
	- FeedbackCombinatorMethodMax(std::vector<ConfOrRel> A,
	- std::vector<ConfOrRel> B) {
	- return max(A, B);
	- }
	- /// predefined method
	- static std::vector<ConfOrRel>
	- FeedbackCombinatorMethodMult(std::vector<ConfOrRel> A,
	- std::vector<ConfOrRel> B) {
	- return mult(A, B);
	- }
	+ /// predefined method
	+ static std::vector<ConfOrRel>
	+ FeedbackCombinatorMethodAverage(std::vector<ConfOrRel> A,
	+ std::vector<ConfOrRel> B) {
	+ return average(A, B);
	+ }
	+ /// predefined method
	+ static std::vector<ConfOrRel>
	+ FeedbackCombinatorMethodMin(std::vector<ConfOrRel> A,
	+ std::vector<ConfOrRel> B) {
	+ return min(A, B);
	+ }
	+ /// predefined method
	+ static std::vector<ConfOrRel>
	+ FeedbackCombinatorMethodMax(std::vector<ConfOrRel> A,
	+ std::vector<ConfOrRel> B) {
	+ return max(A, B);
	+ }
	+ /// predefined method
	+ static std::vector<ConfOrRel>
	+ FeedbackCombinatorMethodMult(std::vector<ConfOrRel> A,
	+ std::vector<ConfOrRel> B) {
	+ return mult(A, B);
	+ }

	- /// Predefined combination method for possible Identifiers
	- static std::vector<ConfOrRel>
	- PossibleIdentifierCombinationMethodMin(std::vector<ConfOrRel> A,
	- ReliabilityType B) {
	- return min(A, B);
	- }
	- /// Predefined combination method for possible Identifiers
	- static std::vector<ConfOrRel>
	- PossibleIdentifierCombinationMethodMax(std::vector<ConfOrRel> A,
	- ReliabilityType B) {
	- return max(A, B);
	- }
	+ /// Predefined combination method for possible Identifiers
	+ static std::vector<ConfOrRel>
	+ PossibleIdentifierCombinationMethodMin(std::vector<ConfOrRel> A,
	+ ReliabilityType B) {
	+ return min(A, B);
	+ }
	+ /// Predefined combination method for possible Identifiers
	+ static std::vector<ConfOrRel>
	+ PossibleIdentifierCombinationMethodMax(std::vector<ConfOrRel> A,
	+ ReliabilityType B) {
	+ return max(A, B);
	+ }

	- /// Predefined combination method for possible Identifiers
	- static std::vector<ConfOrRel>
	- PossibleIdentifierCombinationMethodAverage(std::vector<ConfOrRel> A,
	- ReliabilityType B) {
	- return average(A, B);
	- }
	+ /// Predefined combination method for possible Identifiers
	+ static std::vector<ConfOrRel>
	+ PossibleIdentifierCombinationMethodAverage(std::vector<ConfOrRel> A,
	+ ReliabilityType B) {
	+ return average(A, B);
	+ }

	- /// Predefined combination method for possible Identifiers
	- static std::vector<ConfOrRel>
	- PossibleIdentifierCombinationMethodMult(std::vector<ConfOrRel> A,
	- ReliabilityType B) {
	- return mult(A, B);
	- }
	+ /// Predefined combination method for possible Identifiers
	+ static std::vector<ConfOrRel>
	+ PossibleIdentifierCombinationMethodMult(std::vector<ConfOrRel> A,
	+ ReliabilityType B) {
	+ return mult(A, B);
	+ }

	- /// The predefined min combinator method
	- static ReliabilityType combinationMin(ReliabilityType A, ReliabilityType B) {
	- return std::min(A, B);
	- }
	+ /// The predefined min combinator method
	+ static ReliabilityType combinationMin(ReliabilityType A,
	+ ReliabilityType B) {
	+ return std::min(A, B);
	+ }

	- /// The predefined max combinator method
	- static ReliabilityType combinationMax(ReliabilityType A, ReliabilityType B) {
	- return std::max(A, B);
	- }
	+ /// The predefined max combinator method
	+ static ReliabilityType combinationMax(ReliabilityType A,
	+ ReliabilityType B) {
	+ return std::max(A, B);
	+ }

	- /// The predefined average combinator method
	- static ReliabilityType combinationAverage(ReliabilityType A,
	- ReliabilityType B) {
	- return (A + B) / 2;
	- }
	+ /// The predefined average combinator method
	+ static ReliabilityType combinationAverage(ReliabilityType A,
	+ ReliabilityType B) {
	+ return (A + B) / 2;
	+ }

	- /// The predefined average combinator method
	- static ReliabilityType combinationMult(ReliabilityType A, ReliabilityType B) {
	- return A * B;
	- }
	+ /// The predefined average combinator method
	+ static ReliabilityType combinationMult(ReliabilityType A,
	+ ReliabilityType B) {
	+ return A * B;
	+ }
	+ };

	+ // ----------------------------------------------------------------
	+ // Stored Values
	+ // ----------------------------------------------------------------
	private:
	std::vector<std::vector<ConfOrRel>> History;
	std::size_t HistoryMaxSize;
	std::vector<ConfOrRel> ValuesFromMaster;

	SensorValueType previousSensorValue;
	unsigned int valueSetCounter;
	std::vector<IdentifierType> States;
	bool PreviousSensorValueExists = false;

	- std::unique_ptr<RangeConfidence<ReliabilityType, IdentifierType, SensorValueType>>
	+ std::unique_ptr<
	+ RangeConfidence<ReliabilityType, IdentifierType, SensorValueType>>
	Confidence;
	std::unique_ptr<Abstraction<SensorValueType, ReliabilityType>> Reliability;
	std::unique_ptr<Abstraction<SensorValueType, ReliabilityType>>
	ReliabilitySlope;
	std::unique_ptr<Abstraction<std::size_t, ReliabilityType>> TimeConfidence;

	// combination functions
	ReliabilityType (*InputReliabilityCombinator)(
	- ReliabilityType, ReliabilityType) = combinationMin;
	+ ReliabilityType, ReliabilityType) = predefinedMethods::combinationMin;

	std::vector<ConfOrRel> (*PossibleIdentifierCombinationMethod)(
	- std::vector<ConfOrRel>,
	- ReliabilityType) = PossibleIdentifierCombinationMethodMin;
	+ std::vector<ConfOrRel>, ReliabilityType) =
	+ predefinedMethods::PossibleIdentifierCombinationMethodMin;

	std::vector<ConfOrRel> (*FeedbackCombinatorMethod)(std::vector<ConfOrRel>,
	std::vector<ConfOrRel>) =
	- FeedbackCombinatorMethodAverage;
	+ predefinedMethods::FeedbackCombinatorMethodAverage;

	ReliabilityType (*HistoryCombinatorMethod)(ReliabilityType, ReliabilityType) =
	- HistoryCombinatorMethodMax;
	+ predefinedMethods::HistoryCombinatorMethodMax;

	- /*--------------------------------- needed Functions
	- * -----------------------------------------------------*/
	+ // ---------------------------------------------------------------------------
	+ // needed Functions
	+ // ---------------------------------------------------------------------------

	/// returns the Reliability
	/// \param actualValue The Value of the Sensor
	/// \param lastValue of the Sensor this is stored in the class
	/// \param valueSetCounter It has an effect on the difference of the current
	/// and last value This might not be needed anymore
	/// \brief it returns the combination the \c Reliability function and \c
	/// ReliabilitySlope if the previous value exists. if it doesn't it only
	/// returns the \c Reliability function value.
	ReliabilityType getReliability(SensorValueType actualValue,
	SensorValueType lastValue,
	unsigned int valueSetCounter) {
	ReliabilityType relAbs = Reliability->operator()(actualValue);
	if (PreviousSensorValueExists) {
	ReliabilityType relSlo = ReliabilitySlope->operator()(
	(lastValue - actualValue) / (SensorValueType)valueSetCounter);

	return InputReliabilityCombinator(relAbs, relSlo);
	} else
	return relAbs;
	}

	/// adapts the possible Identifiers by checking the History and combines those
	/// values. currently with max
	/// \brief combines the historic values with the \c TimeConfidence function
	/// and returns the maximum Reliability for all Identifiers.
	std::vector<ConfOrRel> getAllPossibleIdentifiersBasedOnHistory() {
	// iterate through all history entries
	std::size_t posInHistory = 0;
	std::vector<ConfOrRel> possibleIdentifiers;
	for (auto pShE = History.begin(); pShE < History.end();
	pShE++, posInHistory++) {

	// iterate through all possible Identifiers of each history entry
	for (ConfOrRel &pSh : *pShE) {

	IdentifierType historyIdentifier = pSh.Identifier;
	ReliabilityType historyConf = pSh.Reliability;

	historyConf = historyConf * TimeConfidence->operator()(posInHistory);

	bool foundIdentifier = false;
	for (ConfOrRel &pS : possibleIdentifiers) {

	if (pS.Identifier == historyIdentifier) {

	pS.Reliability =
	HistoryCombinatorMethod(pS.Reliability, historyConf);

	foundIdentifier = true;
	}
	}

	if (foundIdentifier == false) {

	ConfOrRel possibleIdentifier;
	possibleIdentifier.Identifier = historyIdentifier;
	possibleIdentifier.Reliability = historyConf;

	possibleIdentifiers.push_back(possibleIdentifier);
	}
	}
	}

	return possibleIdentifiers;
	}

	/// saves the Identifiers in the History
	- /// \brief It checks the incoming Identifiers if any have a Reliability greater
	- /// than 0.5 all of them get saved inside the History and then the
	+ /// \brief It checks the incoming Identifiers if any have a Reliability
	+ /// greater than 0.5 all of them get saved inside the History and then the
	/// History get shortened to the maximal length. It only saves the Value if
	/// the History is empty.
	///
	/// \param actualPossibleIdentifiers The Identifiers which should be saved
	///
	/// \note Does the History really make sense if the values are to small it
	/// only stores something if it's empty and not if it isn't completely filled
	void saveInHistory(std::vector<ConfOrRel> actualPossibleIdentifiers) {

	- // check if the reliability of at least one possible Identifier is high enough
	+ // check if the reliability of at least one possible Identifier is high
	+ // enough
	bool atLeastOneRelIsHigh = false;
	for (ConfOrRel pS : actualPossibleIdentifiers) {
	if (pS.Reliability > 0.5) {
	atLeastOneRelIsHigh = true;
	}
	}
	- // save possible Identifiers if at least one possible Identifier is high enough (or if
	- // the history is empty)
	+ // save possible Identifiers if at least one possible Identifier is high
	+ // enough (or if the history is empty)
	if (History.size() < 1 \|\| atLeastOneRelIsHigh == true) {
	History.insert(History.begin(), actualPossibleIdentifiers);

	// if history size is higher than allowed, save oldest element
	while (History.size() > HistoryMaxSize) {
	// delete possibleIdentifierHistory.back();
	History.pop_back();
	}
	}
	}
	};

	} // namespace agent
	} // namespace rosa
	#endif // !ROSA_AGENT_ReliabilityConfidenceCombinator_H

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