diff --git a/examples/agent-functionalities/Reliability-functionality.cpp b/examples/agent-functionalities/Reliability-functionality.cpp
index b1c304e..84733ee 100644
--- a/examples/agent-functionalities/Reliability-functionality.cpp
+++ b/examples/agent-functionalities/Reliability-functionality.cpp
@@ -1,268 +1,266 @@
 //===- 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/core/Agent.hpp"
 #include "rosa/core/MessagingSystem.hpp"
 
 #include "rosa/support/log.h"
 #include "rosa/support/terminal_colors.h"
 
 #include "rosa/agent/CrossReliability.h"
 #include "rosa/agent/RangeConfidence.hpp"
 #include "rosa/agent/Reliability.h"
 
 #include <map>
 #include <vector>
 
 using namespace rosa::agent;
 
 int main(void) {
   typedef double SensorValueType;
   typedef long StateType;
   typedef double ReliabilityType;
 
-  // defining Range confidence
-
   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 LowLevel<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->operator()(a))
               << "\n";
 
   /* ----------------------------- Cleanup
    * --------------------------------------------------------------------- */
 
   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 LowLevel<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);
 
   HighLevel<StateType, ReliabilityType> *highlevel =
       new HighLevel<StateType, ReliabilityType>();
 
   std::unique_ptr<CrossReliability<StateType, ReliabilityType>>
       CrossReliability1(new CrossReliability<StateType, ReliabilityType>());
 
   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);
 
   CrossReliability1->addCrossReliabilityProfile(0, 1, func1);
   CrossReliability1->setCrossReliabilityMethod(
       CrossReliability<StateType, ReliabilityType>::AVERAGE);
   CrossReliability1->setCrossReliabilityParameter(1);
 
   std::unique_ptr<CrossConfidence<StateType, ReliabilityType>> CrossConfidence1(
       new CrossConfidence<StateType, ReliabilityType>());
 
   Abstraction<long, double> *func2 = 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);
 
   CrossConfidence1->addCrossReliabilityProfile(0, 1, func2);
   CrossConfidence1->setCrossReliabilityMethod(
       CrossConfidence<StateType, ReliabilityType>::AVERAGE);
   CrossConfidence1->setCrossReliabilityParameter(1);
 
   highlevel->setFunction(CrossConfidence1);
   highlevel->setFunction(CrossReliability1);
 
   highlevel->addStates(0, states);
   highlevel->addStates(1, states);
 
   for (int a = 0; a < 21; a++) {
     auto out1 = lowlevel->operator()(a), out2 = lowlevel2->operator()(21 - a);
     std::cout << "s1: " << out1 << "\ns2:" << out2 << "\n";
     std::vector<std::tuple<rosa::id_t, StateType, ReliabilityType>> tmp2;
     tmp2.push_back({0, out1.score, out1.Reliability});
     tmp2.push_back({1, out2.score, 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 score: " << z.score << "\tRel: " << z.Reliability
       << "\n"; tmp.push_back({z.score,z.Reliability});
       }
       */
       for (auto z : q.second) {
         std::cout << "\t\t\t score: " << z.score << "\tRel: " << z.Reliability
                   << "\n";
       }
 
       if (q.first == 0)
         lowlevel->feedback(q.second);
       else
         lowlevel2->feedback(q.second);
     }
   }
 
   delete lowlevel;
   delete lowlevel2;
 }
\ No newline at end of file
diff --git a/include/rosa/agent/Reliability.h b/include/rosa/agent/Reliability.h
index f7dd21b..438fc78 100644
--- a/include/rosa/agent/Reliability.h
+++ b/include/rosa/agent/Reliability.h
@@ -1,499 +1,506 @@
 //===-- rosa/agent/Reliability.h --------------------------------*- C++ -*-===//
 //
 //                                 The RoSA Framework
 //
 //===----------------------------------------------------------------------===//
 ///
 /// \file rosa/agent/Reliability.h
 ///
 /// \author Daniel Schnoell (danielschnoell@tuwien.ac.at)
 ///
 /// \date 2019
 ///
 /// \brief  Definition of *reliability* *functionality*.
 ///
 /// \note By defining and seeting 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
 ///
 //===----------------------------------------------------------------------===//
 
 #ifndef ROSA_AGENT_RELIABILITY_H
 #define ROSA_AGENT_RELIABILITY_H
 
 #include "rosa/agent/CrossReliability.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 lowlevel/highlevel Reliability
 /// more readable \tparam StateType The datatype of the States \tparam
 /// ReliabilityType The datatype of the Reliability
 template <typename StateType, typename ReliabilityType> struct ConfOrRel {
   /// making both Template Arguments readable to make a few things easier
   typedef StateType _StateType;
   /// making both Template Arguments readable to make a few things easier
   typedef ReliabilityType _ReliabilityType;
 
   /// The actual place where the data is stored
   StateType score;
   /// The actual place where the data is stored
   ReliabilityType Reliability;
 
   ConfOrRel(StateType _score, ReliabilityType _Reliability)
       : score(_score), 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 << "Score: " << c.score << "\t Reliability: " << c.Reliability << " ";
     return out;
   }
 
   /// needed or it throws an clang diagnosic error
   typedef std::map<StateType, ReliabilityType>
       map; // 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 adds the Reliabilities of the same Scores
   /// \param me The vector to wich is written to
   /// \param other The other data vector
   friend std::vector<ConfOrRel> operator+=(std::vector<ConfOrRel> &me,
                                            std::vector<ConfOrRel> other) {
     static_assert(std::is_arithmetic<ReliabilityType>::value);
     for (auto& tmp_me : me)
       for (auto& tmp_other : other) {
         if (tmp_me.score == tmp_other.score) {
           tmp_me.Reliability = tmp_me.Reliability + tmp_other.Reliability;
         }
       }
     return me;
   }
 
   /// This is to push the data inside a vector in a humanreadable 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 Reliabilites
 /// \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 is the Reliability Functionality for a low level Agent
 /// \tparam SensorValueType Datatype of the Sensor value	( Typically
 /// double or float)
 /// \tparam StateType		Datatype of the State			(
 /// Typically long or int)
 ///	\tparam ReliabilityType Datatype of the Reliability		(
 /// Typically double	or float)
 ///
 /// use the \c operator() to get the reliability and \c feedback() the
 /// information from the master back to this
 template <typename SensorValueType, typename StateType,
           typename ReliabilityType>
 class LowLevel {
 public:
   /// Typedef to shorten the writing.
   /// \c ConfOrRel
   typedef ConfOrRel<StateType, ReliabilityType> ConfOrRel;
 
   /// Calculates the Conf/ Reliability
   /// \param SensorValue The current Values of the Sensor
   ///
   /// \return Reliability of the current Value
   ConfOrRel operator()(SensorValueType SensorValue) {
+    static_assert(std::is_arithmetic<SensorValueType>::value);
+    static_assert(std::is_arithmetic<StateType>::value);
+    static_assert(std::is_arithmetic<ReliabilityType>::value);
 #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> ActuallPossibleScores;
     std::vector<ConfOrRel> possibleScores;
     ReliabilityType inputReliability =
         getRelibility(SensorValue, previousSensorValue, valueSetCounter);
 
 #if Reliability_trace_level <= trace_vectors
     LOG_TRACE_STREAM << "\ninput Rel: " << inputReliability << trace_end;
 #endif
 
     possibleScores << Confidence->operator()(SensorValue);
 
     possibleScores = min(possibleScores, inputReliability);
 
     possibleScores += ValuesFromMaster;
 
 
     saveInHistory(possibleScores);
 #if Reliability_trace_level <= trace_vectors
     LOG_TRACE_STREAM << "\nActuallPossibleScores:\n"
                      << possibleScores << trace_end;
     LOG_TRACE_STREAM << "\npossibleScores:\n" << possibleScores << trace_end;
 #endif
     possibleScores.clear();
 
     possibleScores = getAllPossibleScoresBasedOnHistory();
 
     std::sort(possibleScores.begin(), possibleScores.end(),
               [](ConfOrRel A, ConfOrRel B) -> bool {
                 static_assert(std::is_arithmetic<ReliabilityType>::value);
                 return A.Reliability > B.Reliability;
               });
 
     previousSensorValue = SensorValue;
     PreviousSensorValueExists = true;
 
 #if Reliability_trace_level <= trace_outputs
     LOG_TRACE_STREAM << "\noutput lowlevel: " << possibleScores.at(0)
                      << trace_end;
 #endif
     return possibleScores.at(0);
   }
 
   /// Needed feedback from the Master
   /// \param ValuesFromMaster The Scores + Reliability from the Master for this
   /// Agent
   void feedback(std::vector<ConfOrRel> ValuesFromMaster) {
     this->ValuesFromMaster = ValuesFromMaster;
   }
 
   /// This is the setter for Confidence Function
   /// \param Confidence A pointer to the Functional for the Confidence
   void setConfidenceFunction(
       std::unique_ptr<RangeConfidence<ReliabilityType, StateType,
                                       SensorValueType>> &Confidence) {
     this->Confidence = std::move(Confidence);
   }
 
   /// This is the setter for Reliability Function
   /// \param Reliability A pointer to the Functional for the Reliability
   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
   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
   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 vertor containing all states
   void setStates(std::vector<StateType> states) { this->States = states; }
 
   /// This sets the Maximum length of the Histpory
   /// \param length The length
   void setHistoryLength(std::size_t length) { this->HistoryMaxSize = length; }
 
   /// This sets the Value set Counter
   /// \param ValueSetCounter the new Value
   void setValueSetCounter(unsigned int ValueSetCounter) {
     this->valueSetCounter = ValueSetCounter;
   }
 
 private:
   std::vector<std::vector<ConfOrRel>> History;
   std::size_t HistoryMaxSize;
   std::vector<ConfOrRel> ValuesFromMaster;
 
   SensorValueType previousSensorValue;
   unsigned int valueSetCounter;
   std::vector<StateType> States;
   bool PreviousSensorValueExists = false;
 
   std::unique_ptr<RangeConfidence<ReliabilityType, StateType, 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;
 
   /*--------------------------------- needed Funktions
    * -----------------------------------------------------*/
 
   /// 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
   ReliabilityType getRelibility(SensorValueType actualValue,
                                 SensorValueType lastValue,
                                 unsigned int valueSetCounter) {
     static_assert(std::is_arithmetic<ReliabilityType>::value);
     ReliabilityType relAbs = Reliability->operator()(actualValue);
     if (PreviousSensorValueExists) {
       ReliabilityType relSlo = ReliabilitySlope->operator()(
           (lastValue - actualValue) / (SensorValueType)valueSetCounter);
 
       // calculate signal input reliability
       // NOTE: options would be multiply, average, AND (best to worst:
       // average = AND > multiply) rel = relAbs * relSlo; rel = (relAbs +
       // relSlo)/2;
 
       return std::min(relAbs, relSlo);
     } else
       return relAbs;
   }
 
   /// adabts the possible Scores by checking the History and combines those
   /// values currently with max
   std::vector<ConfOrRel> getAllPossibleScoresBasedOnHistory() {
     // iterate through all history entries
     std::size_t posInHistory = 0;
     std::vector<ConfOrRel> possibleScores;
     for (auto pShE = History.begin(); pShE < History.end();
          pShE++, posInHistory++) {
 
       // iterate through all possible scores of each history entry
       for (ConfOrRel &pSh : *pShE) {
 
         StateType historyScore = pSh.score;
         ReliabilityType historyConf = pSh.Reliability;
 
         // combine each history score with the confidence of time
         // NOTE: multiplication, AND, or average would be alternatives (best to
         // worst: multiplication = AND = average)
         historyConf = historyConf * TimeConfidence->operator()(posInHistory);
         // historyConf = (historyConf + TimeConfidence(posInHistory)) / 2;
         // historyConf = std::min(historyConf, TimeConfidence(posInHistory));
 
         bool foundScore = false;
         for (ConfOrRel &pS : possibleScores) {
 
           if (pS.score == historyScore) {
 
             // calculate confidence for score
             // NOTE: multiplication, AND, or average would be alternatives (best
             // to worst: AND >> average = multiplication ) pS->confOrRel =
             // pS->confOrRel * historyConf; pS->confOrRel = (pS->confOrRel +
             // historyConf) / 2;
             pS.Reliability = std::max(pS.Reliability, historyConf);
 
             foundScore = true;
           }
         }
 
         if (foundScore == false) {
 
           ConfOrRel possibleScore;
           possibleScore.score = historyScore;
           possibleScore.Reliability = historyConf;
 
           possibleScores.push_back(possibleScore);
         }
       }
     }
 
     return possibleScores;
   }
 
   /// saves the Scores in the History
   /// \param actualPossibleScores The Scores which should be saved
   ///
   /// \note Does the History realy make sence if the values are to smal it only
   /// stores something if its empty and not if it isn't completly filled
   void saveInHistory(std::vector<ConfOrRel> actualPossibleScores) {
 
     // check if the reliability of at least one possible score is high enough
     bool atLeastOneRelIsHigh = false;
     for (ConfOrRel pS : actualPossibleScores) {
       if (pS.Reliability > 0.5) {
         atLeastOneRelIsHigh = true;
       }
     }
     // save possible scores if at least one possible score is high enough (or if
     // the history is empty)
     if (History.size() < 1 || atLeastOneRelIsHigh == true) {
       History.insert(History.begin(), actualPossibleScores);
 
       // if history size is higher than allowed, savo oldest element
       while (History.size() > HistoryMaxSize) {
         // delete possibleScoreHistory.back();
         History.pop_back();
       }
     }
   }
 };
 
 /// This is the Reliability Functionality for the Highlevel Agent
 /// \tparam StateType		Datatype of the State			(
 /// Typically double	or float) \tparam ReliabilityType	Datatype of the
 /// Reliability		( Typically	long	or int)
 ///
 /// use the () operator to calculate the Reliability and all cross confidences
 /// for all slaves.
 template <typename StateType, typename ReliabilityType> class HighLevel {
 public:
   /// typedef To shorten the writing.
   /// \c ConfOrRel
   typedef ConfOrRel<StateType, ReliabilityType> ConfOrRel;
 
   /// The return type for the \c HighLevel::operator() Method
   struct returnType {
     ReliabilityType CrossReliability;
     std::map<id_t, std::vector<ConfOrRel>> CrossConfidence;
   };
 
   /// Calculates the Reliability and the Cross Confidenceses for each slave for
   /// all of there states. \param Values It gets the States and Reliabilities of
   /// all connected Slaves inside a vector. \return it returns a struct \c
   /// returnType containing the CrossReliability and all CrossConfidence's
   returnType operator()(
       std::vector<std::tuple<id_t, StateType, ReliabilityType>> &Values) {
+    static_assert(std::is_arithmetic<StateType>::value);
+    static_assert(std::is_arithmetic<ReliabilityType>::value);
+
 
     StateType EWS = 0;
     ReliabilityType combinedInputRel = 1;
     ReliabilityType combinedCrossRel = 1;
     ReliabilityType outputReliability;
 
     std::vector<std::pair<id_t, StateType>> Agents;
     std::map<id_t, std::vector<ConfOrRel>> output;
     std::vector<ConfOrRel> output_temporary;
 
     for (auto tmp : Values) {
       std::pair<id_t, StateType> tmp2;
       tmp2.first = std::get<0>(tmp);
       tmp2.second = std::get<1>(tmp);
       Agents.push_back(tmp2);
     }
 
     for (auto Value : Values) {
       id_t id = std::get<0>(Value);
       StateType sc = std::get<1>(Value);
       ReliabilityType rel = std::get<2>(Value);
 
       EWS = EWS + sc;
 
       combinedInputRel = std::min(combinedInputRel, rel);
 
       // calculate the cross reliability for this slave agent
       ReliabilityType realCrossReliabilityOfSlaveAgent =
           CrossReliability->operator()(
               {id, sc},
               Agents); // AVERAGE, MULTIPLICATION, CONJUNCTION (best to worst:
                        // AVERAGE = CONJUNCTION > MULTIPLICATION >> )
 
       output_temporary.clear();
       for (StateType thoScore : States[id]) {
         // calculate the cross reliability for this slave agent
         ConfOrRel data;
         data.score = thoScore;
         data.Reliability = CrossConfidence->operator()(id, thoScore, Agents);
         output_temporary.push_back(data);
       }
 
       output.insert({std::get<0>(Value), output_temporary});
       combinedCrossRel =
           std::min(combinedCrossRel, realCrossReliabilityOfSlaveAgent);
     }
 
     // combine cross reliabilites and input reliabilites of all slave agents
     // NOTE: options would be multiply, average, AND (best to worst: )
     // outputReliability = combinedInputRel * combinedCrossRel;
     // outputReliability = (combinedInputRel + combinedCrossRel) / 2;
     outputReliability = std::min(combinedInputRel, combinedCrossRel);
     return {outputReliability, output};
   }
 
   /// This is the setter for CrossReliability Function
   /// \param CrossReliability A pointer to the Functional for the
   /// CrossReliability
   void setFunction(std::unique_ptr<CrossReliability<StateType, ReliabilityType>>
                        &CrossReliability) {
     this->CrossReliability = std::move(CrossReliability);
   }
 
   /// This is the setter for CrossConfidence Function
   /// \param CrossConfidence A pointer to the Functional for the CrossConfidence
   void setFunction(std::unique_ptr<CrossConfidence<StateType, ReliabilityType>>
                        &CrossConfidence) {
     this->CrossConfidence = std::move(CrossConfidence);
   }
 
   /// This is the adder for the states
+  /// \param id The id of the Agent of the states
   /// \param States id spezific states. this will be copied So that if Slaves
   /// have different States they can be used correctly.
   void addStates(id_t id, std::vector<StateType> States) {
     this->States.insert({id, States});
   }
 
 private:
   std::unique_ptr<CrossReliability<StateType, ReliabilityType>>
       CrossReliability;
   std::unique_ptr<CrossConfidence<StateType, ReliabilityType>> CrossConfidence;
 
   std::map<id_t, std::vector<StateType>> States;
 };
 } // namespace agent
 } // namespace rosa
 #endif // !ROSA_AGENT_RELIABILITY_H