No OneTemporary
Actions

Size

61 KB

Referenced Files

None

Subscribers

None

View Options

	diff --git a/examples/agent-functionalities/Reliability-functionality/Reliability-functionality.cpp b/examples/agent-functionalities/Reliability-functionality/Reliability-functionality.cpp
	index cad229b..cea2ba0 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>>
	+ std::shared_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(
	+ std::shared_ptr<Abstraction<SensorValueType, ReliabilityType>> Reliability(
	new LinearFunction<SensorValueType, ReliabilityType>(1, -1.0 / 3));

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

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

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

	- std::unique_ptr<Abstraction<std::size_t, ReliabilityType>> TimeConfidence2(
	+ std::shared_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>(
	+ std::shared_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>::predefinedMethods::AVERAGE);
	highlevel->setCrossReliabilityParameter(1);

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

	for (int a = 0; a < 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/CrossCombinator.h b/include/rosa/agent/CrossCombinator.h
	index f54a2e1..eef7c1c 100644
	--- a/include/rosa/agent/CrossCombinator.h
	+++ b/include/rosa/agent/CrossCombinator.h
	@@ -1,554 +1,551 @@
	//===-- rosa/delux/CrossReliability.h ---------------------------- C++ --===//
	//
	// The RoSA Framework
	//
	//===----------------------------------------------------------------------===//
	///
	/// \file rosa/delux/CrossReliability.h
	///
	/// \author Daniel Schnoell
	///
	/// \date 2019
	///
	/// \brief
	///
	/// \todo there is 1 exception that needs to be handled correctly.
	/// \note the default search function is extremely slow maybe this could be done
	/// via template for storage class and the functions/methods to efficiently find
	/// the correct LinearFunction
	//===----------------------------------------------------------------------===//
	#ifndef ROSA_AGENT_CROSSRELIABILITY_H
	#define ROSA_AGENT_CROSSRELIABILITY_H

	#include "rosa/agent/Abstraction.hpp"
	#include "rosa/agent/Functionality.h"
	#include "rosa/agent/ReliabilityConfidenceCombinator.h"
	#include "rosa/core/forward_declarations.h" // needed for id_t
	#include "rosa/support/log.h" // needed for error "handling"

	// nedded headers

	#include <string>
	#include <type_traits> //assert
	#include <vector>
	// for static methods
	#include <algorithm>
	#include <numeric>

	namespace rosa {
	namespace agent {

	template <typename id, typename IdentifierType, typename ReliabilityType>
	std::vector<std::pair<id_t, IdentifierType>> &operator<<(
	std::vector<std::pair<id_t, IdentifierType>> &me,
	std::vector<std::tuple<id, IdentifierType, ReliabilityType>> Values) {
	for (auto tmp : Values) {
	std::pair<id, IdentifierType> tmp2;
	tmp2.first = std::get<0>(tmp);
	tmp2.second = std::get<1>(tmp);
	me.push_back(tmp2);
	}
	return me;
	}

	/// This is the Combinator class for cross reliabilities it has many functions
	/// with different purposes
	/// \brief It takes the Identifiers and reliabilities of all given ids and
	/// calculates the Reliability of them together. Also it can creates the
	/// feedback that is needed by the \c ReliabilityAndConfidenceCombinator, which
	/// is a kind of confidence.
	///
	/// \tparam IdentifierType Datatype of the Identifier ( Typically double or
	/// float) \tparam ReliabilityType Datatype of the Reliability ( Typically
	/// long or int)
	///
	/// \note This class is commonly in a master slave relationship as master with
	/// \c ReliabilityAndConfidenceCombinator. The \c operator()() combines the
	/// Reliability of all connected Slaves and uses that as its own Reliability
	/// also creates the feedback for the Slaves.
	///
	/// \note more information about how the Reliability and feedback is
	/// created at \c operator()() , \c getCombinedCrossReliability() , \c
	/// getCombinedInputReliability() , \c getOutputReliability() [ this is the
	/// commonly used Reliability ], \c getCrossConfidence() [ this is the feedback
	/// for all Slaves ]
	///
	/// a bit more special Methods \c CrossConfidence() ,\c CrossReliability()
	template <typename IdentifierType, typename ReliabilityType>
	class CrossCombinator {
	public:
	static_assert(std::is_arithmetic<IdentifierType>::value,
	"HighLevel: IdentifierType has to be an arithmetic type\n");
	static_assert(std::is_arithmetic<ReliabilityType>::value,
	"HighLevel: ReliabilityType has to be an arithmetic type\n");

	// ---------------------------------------------------------------------------
	// useful definitions
	// ---------------------------------------------------------------------------
	/// typedef To shorten the writing.
	/// \c ConfOrRel
	using ConfOrRel = ConfOrRel<IdentifierType, ReliabilityType>;

	/// To shorten the writing.
	using Abstraction =
	typename rosa::agent::Abstraction<IdentifierType, ReliabilityType>;

	/// The return type for the \c operator()() Method
	struct returnType {
	ReliabilityType CrossReliability;
	std::map<id_t, std::vector<ConfOrRel>> CrossConfidence;
	};

	// -------------------------------------------------------------------------
	// Relevant Methods
	// -------------------------------------------------------------------------
	/// Calculates the Reliability and the CrossConfidences for each id for all
	/// of there Identifiers.
	///
	/// \param Values It gets the Identifiers and Reliabilities of
	/// all connected Slaves inside a vector.
	///
	/// \return it returns a struct \c returnType containing the \c
	/// getCombinedCrossReliability() and \c getCrossConfidence()
	returnType operator()(
	std::vector<std::tuple<id_t, IdentifierType, ReliabilityType>> Values) {
	return {getOutputReliability(Values), getCrossConfidence(Values)};
	}

	/// returns the combined via \c CombinedCrossRelCombinationMethod \c
	/// setCombinedCrossRelCombinationMethod() Cross Reliability for all ids \c
	/// CrossReliability() \param Values the used Values
	ReliabilityType getCombinedCrossReliability(
	std::vector<std::tuple<id_t, IdentifierType, ReliabilityType>> Values) {

	ReliabilityType combinedCrossRel = -1;

	std::vector<std::pair<id_t, IdentifierType>> Agents;

	Agents << Values;

	for (auto Value : Values) {
	id_t id = std::get<0>(Value);
	IdentifierType sc = std::get<1>(Value);

	// calculate the cross reliability for this slave agent
	ReliabilityType realCrossReliabilityOfSlaveAgent =
	CrossReliability({id, sc}, Agents);

	if (combinedCrossRel != -1)
	combinedCrossRel = CombinedCrossRelCombinationMethod(
	combinedCrossRel, realCrossReliabilityOfSlaveAgent);
	else
	combinedCrossRel = realCrossReliabilityOfSlaveAgent;
	}
	return combinedCrossRel;
	}

	/// returns the combined via \c CombinedInputRelCombinationMethod \c
	/// setCombinedInputRelCombinationMethod() input relibility \param Values the
	/// used Values
	ReliabilityType getCombinedInputReliability(
	std::vector<std::tuple<id_t, IdentifierType, ReliabilityType>> Values) {
	ReliabilityType combinedInputRel = -1;

	std::vector<std::pair<id_t, IdentifierType>> Agents;

	Agents << Values;

	for (auto Value : Values) {
	ReliabilityType rel = std::get<2>(Value);

	if (combinedInputRel != -1)
	combinedInputRel =
	CombinedInputRelCombinationMethod(combinedInputRel, rel);
	else
	combinedInputRel = rel;
	}
	return combinedInputRel;
	}

	/// returns the combination via \c OutputReliabilityCombinationMethod \c
	/// setOutputReliabilityCombinationMethod() of the Cross reliability and
	/// input reliability \param Values the used Values
	ReliabilityType getOutputReliability(
	std::vector<std::tuple<id_t, IdentifierType, ReliabilityType>> Values) {
	return OutputReliabilityCombinationMethod(
	getCombinedInputReliability(Values),
	getCombinedCrossReliability(Values));
	}

	/// retruns the crossConfidence for all ids \c CrossConfidence()
	/// \param Values the used Values
	std::map<id_t, std::vector<ConfOrRel>> getCrossConfidence(
	std::vector<std::tuple<id_t, IdentifierType, ReliabilityType>> Values) {

	std::vector<std::pair<id_t, IdentifierType>> Agents;
	std::map<id_t, std::vector<ConfOrRel>> output;
	std::vector<ConfOrRel> output_temporary;

	Agents << Values;

	for (auto Value : Values) {
	id_t id = std::get<0>(Value);

	output_temporary.clear();
	for (IdentifierType thoIdentifier : Identifiers[id]) {
	ConfOrRel data;
	data.Identifier = thoIdentifier;
	data.Reliability = CrossConfidence(id, thoIdentifier, Agents);
	output_temporary.push_back(data);
	}

	output.insert({id, output_temporary});
	}

	return output;
	}

	/// Calculates the Cross Confidence
	/// \brief it uses the Identifier value and calculates
	/// the Confidence of a given agent( represented by there id ) for a given
	/// Identifiers in connection to all other given agents
	///
	/// \note all combination of agents and there corresponding Cross Reliability
	/// function have to be specified
	ReliabilityType
	CrossConfidence(id_t MainAgent, IdentifierType TheoreticalValue,
	std::vector<std::pair<id_t, IdentifierType>> &SlaveAgents) {

	ReliabilityType crossReliabiability;

	std::vector<ReliabilityType> values;

	for (std::pair<id_t, IdentifierType> SlaveAgent : SlaveAgents) {

	if (SlaveAgent.first == MainAgent)
	continue;

	if (TheoreticalValue == SlaveAgent.second)
	crossReliabiability = 1;
	else
	crossReliabiability =
	1 / (crossReliabilityParameter *
	AbsuluteValue(TheoreticalValue, SlaveAgent.second));

	// profile reliability
	ReliabilityType crossReliabilityFromProfile =
	getCrossReliabilityFromProfile(
	MainAgent, SlaveAgent.first,
	AbsuluteValue(TheoreticalValue, SlaveAgent.second));
	values.push_back(
	std::max(crossReliabiability, crossReliabilityFromProfile));
	}
	return Method(values);
	}

	/// Calculates the Cross Reliability
	/// \brief it uses the Identifier value and calculates
	/// the Reliability of a given agent( represented by there id ) in connection
	/// to all other given agents
	///
	/// \note all combination of agents and there corresponding Cross Reliability
	/// function have to be specified
	ReliabilityType
	CrossReliability(std::pair<id_t, IdentifierType> &&MainAgent,
	std::vector<std::pair<id_t, IdentifierType>> &SlaveAgents) {

	ReliabilityType crossReliabiability;
	std::vector<ReliabilityType> values;

	for (std::pair<id_t, IdentifierType> SlaveAgent : SlaveAgents) {

	if (SlaveAgent.first == MainAgent.first)
	continue;

	if (MainAgent.second == SlaveAgent.second)
	crossReliabiability = 1;
	else
	crossReliabiability =
	1 / (crossReliabilityParameter *
	AbsuluteValue(MainAgent.second, SlaveAgent.second));

	// profile reliability
	ReliabilityType crossReliabilityFromProfile =
	getCrossReliabilityFromProfile(
	MainAgent.first, SlaveAgent.first,
	AbsuluteValue(MainAgent.second, SlaveAgent.second));
	values.push_back(
	std::max(crossReliabiability, crossReliabilityFromProfile));
	}
	return Method(values);
	}

	// --------------------------------------------------------------------------
	// Defining the class
	// --------------------------------------------------------------------------

	/// adds a Cross Reliability Profile used to get the Reliability of the
	/// Identifier difference
	///
	/// \param idA The id of the one \c Agent ( idealy the id of \c Unit to make
	/// it absolutly unique )
	///
	/// \param idB The id of the other \c Agent
	///
	- /// \param Function A unique pointer to an \c Abstraction it would use the
	+ /// \param Function A shared pointer to an \c Abstraction it would use the
	/// difference in Identifier for its input
	void addCrossReliabilityProfile(id_t idA, id_t idB,
	- std::unique_ptr<Abstraction> &Function) {
	- Abstraction *ptr = Function.release();
	- Functions.push_back({true, idA, idB, ptr});
	+ std::shared_ptr<Abstraction> &Function) {
	+ Functions.push_back({true, idA, idB, Function});
	}

	/// sets the cross reliability parameter
	void setCrossReliabilityParameter(ReliabilityType val) {
	crossReliabilityParameter = val;
	}

	/// This is the adder for the Identifiers
	/// \param id The id of the Agent of the Identifiers
	/// \param Identifiers id specific Identifiers. this will be copied So that if
	/// Slaves have different Identifiers they can be used correctly. \brief The
	/// Identifiers of all connected lowlevel Agents has to be known to be able to
	/// iterate over them
	void addIdentifiers(id_t id, std::vector<IdentifierType> Identifiers) {
	this->Identifiers.insert({id, Identifiers});
	}

	// -------------------------------------------------------------------------
	// Combinator Settings
	// -------------------------------------------------------------------------

	/// sets the used method to combine the values
	/// \param Meth The Function which defines the combination method. predef: \c
	/// CONJUNCTION() \c AVERAGE() \c DISJUNCTION()
	void setCrossReliabilityCombinatorMethod(
	std::function<ReliabilityType(std::vector<ReliabilityType> values)>
	Meth) {
	Method = Meth;
	}

	/// sets the combination method for the combined cross reliability
	/// \param Meth the method which should be used. predef: \c
	/// CombinedCrossRelCombinationMethodMin() \c
	/// CombinedCrossRelCombinationMethodMax() \c
	/// CombinedCrossRelCombinationMethodMult() \c
	/// CombinedCrossRelCombinationMethodAverage()
	void setCombinedCrossRelCombinationMethod(
	std::function<ReliabilityType(ReliabilityType, ReliabilityType)> Meth) {
	CombinedCrossRelCombinationMethod = Meth;
	}

	/// sets the combined input rel method
	/// \param Meth the method which should be used predef: \c
	/// CombinedInputRelCombinationMethodMin() \c
	/// CombinedInputRelCombinationMethodMax() \c
	/// CombinedInputRelCombinationMethodMult() \c
	/// CombinedInputRelCombinationMethodAverage()
	void setCombinedInputRelCombinationMethod(
	std::function<ReliabilityType(ReliabilityType, ReliabilityType)> Meth) {
	CombinedInputRelCombinationMethod = Meth;
	}

	/// sets the used OutputReliabilityCombinationMethod
	/// \param Meth the used Method. predef: \c
	/// OutputReliabilityCombinationMethodMin() \c
	/// OutputReliabilityCombinationMethodMax() \c
	/// OutputReliabilityCombinationMethodMult() \c
	/// OutputReliabilityCombinationMethodAverage()
	void setOutputReliabilityCombinationMethod(
	std::function<ReliabilityType(ReliabilityType, ReliabilityType)> Meth) {
	OutputReliabilityCombinationMethod = Meth;
	}

	// -------------------------------------------------------------------------
	// Predefined Functions
	// -------------------------------------------------------------------------
	/// predefined combination method
	struct predefinedMethods {
	static ReliabilityType CONJUNCTION(std::vector<ReliabilityType> values) {
	return *std::min_element(values.begin(), values.end());
	}

	/// predefined combination method
	static ReliabilityType AVERAGE(std::vector<ReliabilityType> values) {
	return std::accumulate(values.begin(), values.end(), 0.0) / values.size();
	}

	/// predefined combination method
	static ReliabilityType DISJUNCTION(std::vector<ReliabilityType> values) {
	return *std::max_element(values.begin(), values.end());
	}

	/// predefined combination Method
	static ReliabilityType
	CombinedCrossRelCombinationMethodMin(ReliabilityType A, ReliabilityType B) {
	return std::min(A, B);
	}

	/// predefined combination Method
	static ReliabilityType
	CombinedCrossRelCombinationMethodMax(ReliabilityType A, ReliabilityType B) {
	return std::max(A, B);
	}

	/// predefined combination Method
	static ReliabilityType
	CombinedCrossRelCombinationMethodMult(ReliabilityType A,
	ReliabilityType B) {
	return A * B;
	}

	/// predefined combination Method
	static ReliabilityType
	CombinedCrossRelCombinationMethodAverage(ReliabilityType A,
	ReliabilityType B) {
	return (A + B) / 2;
	}

	/// predefined combination Method
	static ReliabilityType
	CombinedInputRelCombinationMethodMin(ReliabilityType A, ReliabilityType B) {
	return std::min(A, B);
	}

	/// predefined combination Method
	static ReliabilityType
	CombinedInputRelCombinationMethodMax(ReliabilityType A, ReliabilityType B) {
	return std::max(A, B);
	}

	/// predefined combination Method
	static ReliabilityType
	CombinedInputRelCombinationMethodMult(ReliabilityType A,
	ReliabilityType B) {
	return A * B;
	}

	/// predefined combination Method
	static ReliabilityType
	CombinedInputRelCombinationMethodAverage(ReliabilityType A,
	ReliabilityType B) {
	return (A + B) / 2;
	}

	/// predefined combination method
	static ReliabilityType
	OutputReliabilityCombinationMethodMin(ReliabilityType A,
	ReliabilityType B) {
	return std::min(A, B);
	}

	/// predefined combination method
	static ReliabilityType
	OutputReliabilityCombinationMethodMax(ReliabilityType A,
	ReliabilityType B) {
	return std::max(A, B);
	}

	/// predefined combination method
	static ReliabilityType
	OutputReliabilityCombinationMethodMult(ReliabilityType A,
	ReliabilityType B) {
	return A * B;
	}

	/// predefined combination method
	static ReliabilityType
	OutputReliabilityCombinationMethodAverage(ReliabilityType A,
	ReliabilityType B) {
	return (A + B) / 2;
	}
	};

	// -------------------------------------------------------------------------
	// Cleanup
	// -------------------------------------------------------------------------

	~CrossCombinator() {
	- for (auto tmp : Functions)
	- delete tmp.Funct;
	Functions.clear();
	}

	// --------------------------------------------------------------------------
	// Needed stuff and stored stuff
	// --------------------------------------------------------------------------
	private:
	struct Functionblock {
	bool exists = false;
	id_t A;
	id_t B;
	- Abstraction *Funct;
	+ std::shared_ptr<Abstraction> Funct;
	};

	std::map<id_t, std::vector<IdentifierType>> Identifiers;

	/// From Maxi in his code defined as 1 can be changed by set
	ReliabilityType crossReliabilityParameter = 1;

	/// Stored Cross Reliability Functions
	std::vector<Functionblock> Functions;

	/// Method which is used to combine the generated values
	std::function<ReliabilityType(std::vector<ReliabilityType>)> Method =
	predefinedMethods::AVERAGE;

	std::function<ReliabilityType(ReliabilityType, ReliabilityType)>
	CombinedCrossRelCombinationMethod =
	predefinedMethods::CombinedCrossRelCombinationMethodMin;

	std::function<ReliabilityType(ReliabilityType, ReliabilityType)>
	CombinedInputRelCombinationMethod =
	predefinedMethods::CombinedInputRelCombinationMethodMin;

	std::function<ReliabilityType(ReliabilityType, ReliabilityType)>
	OutputReliabilityCombinationMethod =
	predefinedMethods::OutputReliabilityCombinationMethodMin;

	//--------------------------------------------------------------------------------
	// helper function
	/// evaluates the absolute Value of two values
	/// \note this is actually the absolute distance but to keep it somewhat
	/// conform with maxis code
	template <typename Type_t> Type_t AbsuluteValue(Type_t A, Type_t B) {
	return ((A - B) < 0) ? B - A : A - B;
	}

	/// very inefficient searchFunction
	Functionblock (*searchFunction)(std::vector<Functionblock> vect,
	const id_t nameA, const id_t nameB) =
	[](std::vector<Functionblock> vect, const id_t nameA,
	const id_t nameB) -> Functionblock {
	for (Functionblock tmp : vect) {
	if (tmp.A == nameA && tmp.B == nameB)
	return tmp;
	if (tmp.A == nameB && tmp.B == nameA)
	return tmp;
	}
	return Functionblock();
	};

	/// evaluates the corresponding LinearFunction with the Identifier difference
	/// \param nameA these two parameters are the unique identifiers
	/// \param nameB these two parameters are the unique identifiers
	/// for the LinerFunction
	///
	/// \note it doesn't matter if they are swapped
	ReliabilityType
	getCrossReliabilityFromProfile(id_t nameA, id_t nameB,
	IdentifierType IdentifierDifference) {
	Functionblock block = searchFunction(Functions, nameA, nameB);
	if (!block.exists) {
	LOG_ERROR(("CrossReliability: Block:" + std::to_string(nameA) + "," +
	std::to_string(nameB) + "doesn't exist returning 0"));
	return 0;
	}
	return block.Funct->operator()(IdentifierDifference);
	}
	};

	} // End namespace agent
	} // End namespace rosa

	#endif // ROSA_AGENT_CROSSRELIABILITY_H
	\ No newline at end of file
	diff --git a/include/rosa/agent/ReliabilityConfidenceCombinator.h b/include/rosa/agent/ReliabilityConfidenceCombinator.h
	index 53b16cb..e4f4384 100644
	--- a/include/rosa/agent/ReliabilityConfidenceCombinator.h
	+++ b/include/rosa/agent/ReliabilityConfidenceCombinator.h
	@@ -1,743 +1,743 @@
	//===-- 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 <functional>
	#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
	<< " ";
	return out;
	}

	/// 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 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)
	/// \tparam ReliabilityType Datatype of the Reliability (
	/// Typically double or float)
	///
	/// \note more information about how it calculates
	/// the Reliabilities it should be considered feedback is a sort of Confidence
	/// \verbatim
	///----------------------------------------------------------------------------------
	///
	///
	/// ->Reliability---> getInputReliability()
	/// \| \|
	/// \| V
	/// Sensor Value ---\| PossibleIdentifierCombinationMethod -> next line
	/// \| A \|
	/// \| \| V
	/// ->Confidence--- getPossibleIdentifiers()
	///
	///-----------------------------------------------------------------------------------
	///
	/// feedback
	/// \|
	/// V
	/// ValuesFromMaster
	/// \| -> History ---\|
	/// V \| V
	/// here -> FeedbackCombinatorMethod --------> HistoryCombinatorMethod->nextline
	/// \| \|
	/// V V
	/// getpossibleIdentifiersWithMasterFeedback()getPossibleIdentifiersWithHistory()
	///
	///----------------------------------------------------------------------------------
	///
	/// 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;
	/// 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()
	ReliabilityType getInputReliability(SensorValueType SensorValue) {
	ReliabilityType inputReliability =
	getReliability(SensorValue, previousSensorValue, valueSetCounter);
	previousSensorValue = SensorValue;
	PreviousSensorValueExists = true;
	return inputReliability;
	}

	/// 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()
	std::vector<ConfOrRel> 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);
	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.
	std::vector<ConfOrRel>
	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 =
	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.
	std::vector<ConfOrRel>
	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 =
	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();

	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.
	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,
	+ std::shared_ptr<RangeConfidence<ReliabilityType, IdentifierType,
	SensorValueType>> &Confidence) {
	- this->Confidence = std::move(Confidence);
	+ this->Confidence = 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>>
	+ std::shared_ptr<Abstraction<SensorValueType, ReliabilityType>>
	&Reliability) {
	- this->Reliability = std::move(Reliability);
	+ this->Reliability = 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>>
	+ std::shared_ptr<Abstraction<SensorValueType, ReliabilityType>>
	&ReliabilitySlope) {
	- this->ReliabilitySlope = std::move(ReliabilitySlope);
	+ this->ReliabilitySlope = 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>>
	+ std::shared_ptr<Abstraction<std::size_t, ReliabilityType>>
	&TimeConfidence) {
	- this->TimeConfidence = std::move(TimeConfidence);
	+ this->TimeConfidence = 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(
	std::function<ReliabilityType(ReliabilityType, ReliabilityType)> Meth) {
	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
	/// FeedbackCombinatorMethodMax() \c FeedbackCombinatorMethodMult()
	void setFeedbackCombinatorMethod(
	std::function<std::vector<ConfOrRel>(std::vector<ConfOrRel>,
	std::vector<ConfOrRel>)>
	Meth) {
	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()
	void setPossibleIdentifierCombinationMethod(
	std::function<std::vector<ConfOrRel>(std::vector<ConfOrRel>,
	ReliabilityType)>
	Meth) {
	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(
	std::function<ReliabilityType(ReliabilityType, ReliabilityType)> method) {
	InputReliabilityCombinator = method;
	}

	//
	// ----------------predefined combinators------------------------------------
	//
	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) {
	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;
	}
	/// predefined method
	static std::vector<ConfOrRel>
	FeedbackCombinatorMethodMin(std::vector<ConfOrRel> A,
	std::vector<ConfOrRel> B) {
	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;
	}
	/// predefined method
	static std::vector<ConfOrRel>
	FeedbackCombinatorMethodMax(std::vector<ConfOrRel> A,
	std::vector<ConfOrRel> B) {
	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;
	}
	/// predefined method
	static std::vector<ConfOrRel>
	FeedbackCombinatorMethodMult(std::vector<ConfOrRel> A,
	std::vector<ConfOrRel> B) {
	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;
	}

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

	/// Predefined combination method for possible Identifiers
	static std::vector<ConfOrRel>
	PossibleIdentifierCombinationMethodAverage(std::vector<ConfOrRel> A,
	ReliabilityType B) {
	for (auto tmp : A)
	tmp.Reliability = (tmp.Reliability + B) / 2;
	return A;
	}

	/// Predefined combination method for possible Identifiers
	static std::vector<ConfOrRel>
	PossibleIdentifierCombinationMethodMult(std::vector<ConfOrRel> A,
	ReliabilityType B) {
	for (auto tmp : A)
	tmp.Reliability = tmp.Reliability * B / 2;
	return A;
	}

	/// 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 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;
	}
	};

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

	// combination functions
	std::function<ReliabilityType(ReliabilityType, ReliabilityType)>
	InputReliabilityCombinator = predefinedMethods::combinationMin;

	std::function<std::vector<ConfOrRel>(std::vector<ConfOrRel>, ReliabilityType)>
	PossibleIdentifierCombinationMethod =
	predefinedMethods::PossibleIdentifierCombinationMethodMin;

	std::function<std::vector<ConfOrRel>(std::vector<ConfOrRel>,
	std::vector<ConfOrRel>)>
	FeedbackCombinatorMethod =
	predefinedMethods::FeedbackCombinatorMethodAverage;
	std::function<ReliabilityType(ReliabilityType, ReliabilityType)>
	HistoryCombinatorMethod = predefinedMethods::HistoryCombinatorMethodMax;

	// ---------------------------------------------------------------------------
	// 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
	/// 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
	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)
	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

File Metadata

Mime Type: text/x-diff
Expires: Sun, Mar 16, 10:44 AM (1 d, 20 h)
Storage Engine: blob
Storage Format: Raw Data
Storage Handle: 129105
Default Alt Text: (61 KB)

No OneTemporaryActions

View Options

File Metadata

Event Timeline

No OneTemporary
Actions