Storm 1.11.1.1
A Modern Probabilistic Model Checker
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HybridCtmcCslModelChecker.cpp
Go to the documentation of this file.
2
14
15namespace storm {
16namespace modelchecker {
17template<typename ModelType>
19 // Intentionally left empty.
20}
21
22template<typename ModelType>
36
37template<typename ModelType>
39 return canHandleStatic(checkTask);
40}
41
42template<typename ModelType>
45 storm::logic::UntilFormula const& pathFormula = checkTask.getFormula();
46 std::unique_ptr<CheckResult> leftResultPointer = this->check(env, pathFormula.getLeftSubformula());
47 std::unique_ptr<CheckResult> rightResultPointer = this->check(env, pathFormula.getRightSubformula());
48 SymbolicQualitativeCheckResult<DdType> const& leftResult = leftResultPointer->asSymbolicQualitativeCheckResult<DdType>();
49 SymbolicQualitativeCheckResult<DdType> const& rightResult = rightResultPointer->asSymbolicQualitativeCheckResult<DdType>();
50
51 return storm::modelchecker::helper::HybridCtmcCslHelper::computeUntilProbabilities<DdType, ValueType>(
52 env, this->getModel(), this->getModel().getTransitionMatrix(), this->getModel().getExitRateVector(), leftResult.getTruthValuesVector(),
53 rightResult.getTruthValuesVector(), checkTask.isQualitativeSet());
54}
55
56template<typename ModelType>
59 storm::logic::NextFormula const& pathFormula = checkTask.getFormula();
60 std::unique_ptr<CheckResult> subResultPointer = this->check(env, pathFormula.getSubformula());
61 SymbolicQualitativeCheckResult<DdType> const& subResult = subResultPointer->asSymbolicQualitativeCheckResult<DdType>();
62
63 return storm::modelchecker::helper::HybridCtmcCslHelper::computeNextProbabilities<DdType, ValueType>(
64 env, this->getModel(), this->getModel().getTransitionMatrix(), this->getModel().getExitRateVector(), subResult.getTruthValuesVector());
65}
66
67template<typename ModelType>
70 storm::logic::EventuallyFormula const& eventuallyFormula = checkTask.getFormula();
71 std::unique_ptr<CheckResult> subResultPointer = this->check(env, eventuallyFormula.getSubformula());
72 SymbolicQualitativeCheckResult<DdType> const& subResult = subResultPointer->asSymbolicQualitativeCheckResult<DdType>();
73 auto rewardModel = storm::utility::createFilteredRewardModel(this->getModel(), checkTask);
74 return storm::modelchecker::helper::HybridCtmcCslHelper::computeReachabilityRewards<DdType, ValueType>(
75 env, this->getModel(), this->getModel().getTransitionMatrix(), this->getModel().getExitRateVector(), rewardModel.get(),
76 subResult.getTruthValuesVector(), checkTask.isQualitativeSet());
77}
78
79template<typename ModelType>
82 storm::logic::EventuallyFormula const& eventuallyFormula = checkTask.getFormula();
83 std::unique_ptr<CheckResult> subResultPointer = this->check(env, eventuallyFormula.getSubformula());
84 SymbolicQualitativeCheckResult<DdType> const& subResult = subResultPointer->asSymbolicQualitativeCheckResult<DdType>();
85
86 storm::models::symbolic::StandardRewardModel<DdType, ValueType> timeRewardModel(this->getModel().getManager().getConstant(storm::utility::one<ValueType>()),
87 boost::none, boost::none);
88 return storm::modelchecker::helper::HybridCtmcCslHelper::computeReachabilityRewards<DdType, ValueType>(
89 env, this->getModel(), this->getModel().getTransitionMatrix(), this->getModel().getExitRateVector(), timeRewardModel, subResult.getTruthValuesVector(),
90 checkTask.isQualitativeSet());
91}
92
93template<typename ModelType>
97 STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "Computing bounded until probabilities is not supported for this numeric type.");
98 return nullptr;
99 } else {
100 storm::logic::BoundedUntilFormula const& pathFormula = checkTask.getFormula();
101 std::unique_ptr<CheckResult> leftResultPointer = this->check(env, pathFormula.getLeftSubformula());
102 std::unique_ptr<CheckResult> rightResultPointer = this->check(env, pathFormula.getRightSubformula());
103 SymbolicQualitativeCheckResult<DdType> const& leftResult = leftResultPointer->asSymbolicQualitativeCheckResult<DdType>();
104 SymbolicQualitativeCheckResult<DdType> const& rightResult = rightResultPointer->asSymbolicQualitativeCheckResult<DdType>();
105
106 STORM_LOG_THROW(pathFormula.getTimeBoundReference().isTimeBound(), storm::exceptions::NotImplementedException,
107 "Currently step-bounded and reward-bounded properties on CTMCs are not supported.");
108 ValueType lowerBound = 0;
109 ValueType upperBound = 0;
110 if (pathFormula.hasLowerBound()) {
111 lowerBound = pathFormula.getLowerBound<ValueType>();
112 }
113 if (pathFormula.hasUpperBound()) {
114 upperBound = pathFormula.getNonStrictUpperBound<ValueType>();
115 } else {
116 upperBound = storm::utility::infinity<ValueType>();
117 }
118
119 return storm::modelchecker::helper::HybridCtmcCslHelper::computeBoundedUntilProbabilities<DdType, ValueType>(
120 env, this->getModel(), checkTask.isOnlyInitialStatesRelevantSet(), this->getModel().getTransitionMatrix(), this->getModel().getExitRateVector(),
121 leftResult.getTruthValuesVector(), rightResult.getTruthValuesVector(), checkTask.isQualitativeSet(), lowerBound, upperBound);
122 }
123}
124
125template<typename ModelType>
129 STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "Computing Instantaneous Rewards is not supported for this numeric type.");
130 return nullptr;
131 } else {
132 storm::logic::InstantaneousRewardFormula const& rewardPathFormula = checkTask.getFormula();
133
134 STORM_LOG_THROW(!rewardPathFormula.isStepBounded(), storm::exceptions::NotImplementedException,
135 "Currently step-bounded properties on CTMCs are not supported.");
136 return storm::modelchecker::helper::HybridCtmcCslHelper::computeInstantaneousRewards<DdType, ValueType>(
137 env, this->getModel(), checkTask.isOnlyInitialStatesRelevantSet(), this->getModel().getTransitionMatrix(), this->getModel().getExitRateVector(),
138 checkTask.isRewardModelSet() ? this->getModel().getRewardModel(checkTask.getRewardModel()) : this->getModel().getRewardModel(""),
139 rewardPathFormula.getBound<ValueType>());
140 }
141}
142
143template<typename ModelType>
147 STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "Computing Cumulative Rewards is not supported for this numeric type.");
148 return nullptr;
149 } else {
150 storm::logic::CumulativeRewardFormula const& rewardPathFormula = checkTask.getFormula();
151
152 STORM_LOG_THROW(rewardPathFormula.getTimeBoundReference().isTimeBound(), storm::exceptions::NotImplementedException,
153 "Currently step-bounded and reward-bounded properties on CTMCs are not supported.");
154 auto rewardModel = storm::utility::createFilteredRewardModel(this->getModel(), checkTask);
155 return storm::modelchecker::helper::HybridCtmcCslHelper::computeCumulativeRewards<DdType, ValueType>(
156 env, this->getModel(), checkTask.isOnlyInitialStatesRelevantSet(), this->getModel().getTransitionMatrix(), this->getModel().getExitRateVector(),
157 rewardModel.get(), rewardPathFormula.getNonStrictBound<ValueType>());
158 }
159}
160
161template<typename ModelType>
164 storm::logic::StateFormula const& stateFormula = checkTask.getFormula();
165 std::unique_ptr<CheckResult> subResultPointer = this->check(env, stateFormula);
166 SymbolicQualitativeCheckResult<DdType> const& subResult = subResultPointer->asSymbolicQualitativeCheckResult<DdType>();
167
168 auto probabilisticTransitions = this->getModel().computeProbabilityMatrix();
169 storm::modelchecker::helper::HybridInfiniteHorizonHelper<ValueType, DdType, false> helper(this->getModel(), probabilisticTransitions,
170 this->getModel().getExitRateVector());
172 return helper.computeLongRunAverageProbabilities(env, subResult.getTruthValuesVector());
173}
174
175template<typename ModelType>
178 auto rewardModel = storm::utility::createFilteredRewardModel(this->getModel(), checkTask);
179 auto probabilisticTransitions = this->getModel().computeProbabilityMatrix();
180 storm::modelchecker::helper::HybridInfiniteHorizonHelper<ValueType, DdType, false> helper(this->getModel(), probabilisticTransitions,
181 this->getModel().getExitRateVector());
183 return helper.computeLongRunAverageRewards(env, rewardModel.get());
184}
185
186// Explicitly instantiate the model checker.
189
192
193} // namespace modelchecker
194} // namespace storm
Formula const & getRightSubformula() const
Formula const & getLeftSubformula() const
TimeBoundReference const & getTimeBoundReference(unsigned i=0) const
ValueType getNonStrictUpperBound(unsigned i=0) const
storm::expressions::Expression const & getLowerBound(unsigned i=0) const
TimeBoundReference const & getTimeBoundReference() const
FragmentSpecification & setRewardAccumulationAllowed(bool newValue)
FragmentSpecification & setTimeOperatorsAllowed(bool newValue)
FragmentSpecification & setGloballyFormulasAllowed(bool newValue)
FragmentSpecification & setCumulativeRewardFormulasAllowed(bool newValue)
FragmentSpecification & setLongRunAverageRewardFormulasAllowed(bool newValue)
FragmentSpecification & setLongRunAverageProbabilitiesAllowed(bool newValue)
FragmentSpecification & setBoundedUntilFormulasAllowed(bool newValue)
FragmentSpecification & setInstantaneousFormulasAllowed(bool newValue)
FragmentSpecification & setTimeAllowed(bool newValue)
storm::expressions::Expression const & getBound() const
Formula const & getSubformula() const
SymbolicQualitativeCheckResult< Type > & asSymbolicQualitativeCheckResult()
bool isRewardModelSet() const
Retrieves whether a reward model was set.
Definition CheckTask.h:190
bool isQualitativeSet() const
Retrieves whether the computation only needs to be performed qualitatively, because the values will o...
Definition CheckTask.h:257
std::string const & getRewardModel() const
Retrieves the reward model over which to perform the checking (if set).
Definition CheckTask.h:197
FormulaType const & getFormula() const
Retrieves the formula from this task.
Definition CheckTask.h:140
bool isOnlyInitialStatesRelevantSet() const
Retrieves whether only the initial states are relevant in the computation.
Definition CheckTask.h:204
virtual bool canHandle(CheckTask< storm::logic::Formula, ValueType > const &checkTask) const override
virtual std::unique_ptr< CheckResult > computeInstantaneousRewards(Environment const &env, CheckTask< storm::logic::InstantaneousRewardFormula, ValueType > const &checkTask) override
virtual std::unique_ptr< CheckResult > computeBoundedUntilProbabilities(Environment const &env, CheckTask< storm::logic::BoundedUntilFormula, ValueType > const &checkTask) override
virtual std::unique_ptr< CheckResult > computeReachabilityTimes(Environment const &env, CheckTask< storm::logic::EventuallyFormula, ValueType > const &checkTask) override
virtual std::unique_ptr< CheckResult > computeNextProbabilities(Environment const &env, CheckTask< storm::logic::NextFormula, ValueType > const &checkTask) override
static bool canHandleStatic(CheckTask< storm::logic::Formula, ValueType > const &checkTask)
virtual std::unique_ptr< CheckResult > computeLongRunAverageProbabilities(Environment const &env, CheckTask< storm::logic::StateFormula, ValueType > const &checkTask) override
virtual std::unique_ptr< CheckResult > computeLongRunAverageRewards(Environment const &env, CheckTask< storm::logic::LongRunAverageRewardFormula, ValueType > const &checkTask) override
virtual std::unique_ptr< CheckResult > computeUntilProbabilities(Environment const &env, CheckTask< storm::logic::UntilFormula, ValueType > const &checkTask) override
virtual std::unique_ptr< CheckResult > computeCumulativeRewards(Environment const &env, CheckTask< storm::logic::CumulativeRewardFormula, ValueType > const &checkTask) override
virtual std::unique_ptr< CheckResult > computeReachabilityRewards(Environment const &env, CheckTask< storm::logic::EventuallyFormula, ValueType > const &checkTask) override
Helper class for model checking queries that depend on the long run behavior of the (nondeterministic...
std::unique_ptr< HybridQuantitativeCheckResult< DdType, ValueType > > computeLongRunAverageProbabilities(Environment const &env, storm::dd::Bdd< DdType > const &psiStates)
Computes the long run average probabilities, i.e., the fraction of the time we are in a psiState.
std::unique_ptr< HybridQuantitativeCheckResult< DdType, ValueType > > computeLongRunAverageRewards(Environment const &env, storm::models::symbolic::StandardRewardModel< DdType, ValueType > const &rewardModel)
Computes the long run average rewards, i.e., the average reward collected per time unit.
#define STORM_LOG_THROW(cond, exception, message)
Definition macros.h:30
FragmentSpecification csrl()
void setInformationFromCheckTaskDeterministic(HelperType &helper, storm::modelchecker::CheckTask< FormulaType, typename ModelType::ValueType > const &checkTask, ModelType const &model)
Forwards relevant information stored in the given CheckTask to the given helper.
FilteredRewardModel< RewardModelType > createFilteredRewardModel(RewardModelType const &baseRewardModel, storm::logic::RewardAccumulation const &acc, bool isDiscreteTimeModel)