sp
/
tempest
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity
Browse Source

(LTL) SparseDtmcModelChecker: Implement LTL model checking 

Conflicts:
	src/storm/modelchecker/prctl/SparseDtmcPrctlModelChecker.cpp
	src/storm/modelchecker/prctl/SparseDtmcPrctlModelChecker.h
tempestpy_adaptions
Joachim Klein 4 years ago
committed by Stefan Pranger
parent
ab32af463b
commit
1243b9300c
2 changed files with 112 additions and 34 deletions
Whitespace
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Split View
Diff Options
Show Stats Download Patch File Download Diff File
  1. 131
      src/storm/modelchecker/prctl/SparseDtmcPrctlModelChecker.cpp
  2. 15
      src/storm/modelchecker/prctl/SparseDtmcPrctlModelChecker.h

131
src/storm/modelchecker/prctl/SparseDtmcPrctlModelChecker.cpp
View File

@ -18,10 +18,17 @@
#include "storm/modelchecker/helper/utility/SetInformationFromCheckTask.h"
#include "storm/logic/FragmentSpecification.h"
#include "storm/logic/ExtractMaximalStateFormulasVisitor.h"
#include "storm/automata/AcceptanceCondition.h"
#include "storm/automata/DeterministicAutomaton.h"
#include "storm/automata/LTL2DeterministicAutomaton.h"
#include "storm/models/sparse/StandardRewardModel.h"
#include "storm/settings/SettingsManager.h"
#include "storm/settings/modules/GeneralSettings.h"
#include "storm/settings/modules/DebugSettings.h"
#include "storm/exceptions/InvalidStateException.h"
@ -33,11 +40,11 @@ namespace storm {
SparseDtmcPrctlModelChecker<SparseDtmcModelType>::SparseDtmcPrctlModelChecker(SparseDtmcModelType const& model) : SparsePropositionalModelChecker<SparseDtmcModelType>(model) {
// Intentionally left empty.
}
template<typename SparseDtmcModelType>
bool SparseDtmcPrctlModelChecker<SparseDtmcModelType>::canHandleStatic(CheckTask<storm::logic::Formula, ValueType> const& checkTask, bool* requiresSingleInitialState) {
storm::logic::Formula const& formula = checkTask.getFormula();
if (formula.isInFragment(storm::logic::prctl().setLongRunAverageRewardFormulasAllowed(true).setLongRunAverageProbabilitiesAllowed(true).setConditionalProbabilityFormulasAllowed(true).setConditionalRewardFormulasAllowed(true).setTotalRewardFormulasAllowed(true).setOnlyEventuallyFormuluasInConditionalFormulasAllowed(true).setRewardBoundedUntilFormulasAllowed(true).setRewardBoundedCumulativeRewardFormulasAllowed(true).setMultiDimensionalBoundedUntilFormulasAllowed(true).setMultiDimensionalCumulativeRewardFormulasAllowed(true).setTimeOperatorsAllowed(true).setReachbilityTimeFormulasAllowed(true).setRewardAccumulationAllowed(true))) {
if (formula.isInFragment(storm::logic::prctlstar().setLongRunAverageRewardFormulasAllowed(true).setLongRunAverageProbabilitiesAllowed(true).setConditionalProbabilityFormulasAllowed(true).setConditionalRewardFormulasAllowed(true).setTotalRewardFormulasAllowed(true).setOnlyEventuallyFormuluasInConditionalFormulasAllowed(true).setRewardBoundedUntilFormulasAllowed(true).setRewardBoundedCumulativeRewardFormulasAllowed(true).setMultiDimensionalBoundedUntilFormulasAllowed(true).setMultiDimensionalCumulativeRewardFormulasAllowed(true).setTimeOperatorsAllowed(true).setReachbilityTimeFormulasAllowed(true).setRewardAccumulationAllowed(true).setHOAPathFormulasAllowed(true))) {
return true;
} else if (checkTask.isOnlyInitialStatesRelevantSet() && formula.isInFragment(storm::logic::quantiles())) {
if (requiresSingleInitialState) {
@ -47,7 +54,7 @@ namespace storm {
}
return false;
}
template<typename SparseDtmcModelType>
bool SparseDtmcPrctlModelChecker<SparseDtmcModelType>::canHandle(CheckTask<storm::logic::Formula, ValueType> const& checkTask) const {
bool requiresSingleInitialState = false;
@ -57,7 +64,7 @@ namespace storm {
return false;
}
}
template<typename SparseDtmcModelType>
std::unique_ptr<CheckResult> SparseDtmcPrctlModelChecker<SparseDtmcModelType>::computeBoundedUntilProbabilities(Environment const& env, CheckTask<storm::logic::BoundedUntilFormula, ValueType> const& checkTask) {
storm::logic::BoundedUntilFormula const& pathFormula = checkTask.getFormula();
@ -84,7 +91,7 @@ namespace storm {
return result;
}
}
template<typename SparseDtmcModelType>
std::unique_ptr<CheckResult> SparseDtmcPrctlModelChecker<SparseDtmcModelType>::computeNextProbabilities(Environment const& env, CheckTask<storm::logic::NextFormula, ValueType> const& checkTask) {
storm::logic::NextFormula const& pathFormula = checkTask.getFormula();
@ -93,7 +100,7 @@ namespace storm {
std::vector<ValueType> numericResult = storm::modelchecker::helper::SparseDtmcPrctlHelper<ValueType>::computeNextProbabilities(env, this->getModel().getTransitionMatrix(), subResult.getTruthValuesVector());
return std::unique_ptr<CheckResult>(new ExplicitQuantitativeCheckResult<ValueType>(std::move(numericResult)));
}
template<typename SparseDtmcModelType>
std::unique_ptr<CheckResult> SparseDtmcPrctlModelChecker<SparseDtmcModelType>::computeUntilProbabilities(Environment const& env, CheckTask<storm::logic::UntilFormula, ValueType> const& checkTask) {
storm::logic::UntilFormula const& pathFormula = checkTask.getFormula();
@ -104,7 +111,7 @@ namespace storm {
std::vector<ValueType> numericResult = storm::modelchecker::helper::SparseDtmcPrctlHelper<ValueType>::computeUntilProbabilities(env, storm::solver::SolveGoal<ValueType>(this->getModel(), checkTask), this->getModel().getTransitionMatrix(), this->getModel().getBackwardTransitions(), leftResult.getTruthValuesVector(), rightResult.getTruthValuesVector(), checkTask.isQualitativeSet(), checkTask.getHint());
return std::unique_ptr<CheckResult>(new ExplicitQuantitativeCheckResult<ValueType>(std::move(numericResult)));
}
template<typename SparseDtmcModelType>
std::unique_ptr<CheckResult> SparseDtmcPrctlModelChecker<SparseDtmcModelType>::computeGloballyProbabilities(Environment const& env, CheckTask<storm::logic::GloballyFormula, ValueType> const& checkTask) {
storm::logic::GloballyFormula const& pathFormula = checkTask.getFormula();
@ -113,7 +120,77 @@ namespace storm {
std::vector<ValueType> numericResult = storm::modelchecker::helper::SparseDtmcPrctlHelper<ValueType>::computeGloballyProbabilities(env, storm::solver::SolveGoal<ValueType>(this->getModel(), checkTask), this->getModel().getTransitionMatrix(), this->getModel().getBackwardTransitions(), subResult.getTruthValuesVector(), checkTask.isQualitativeSet());
return std::unique_ptr<CheckResult>(new ExplicitQuantitativeCheckResult<ValueType>(std::move(numericResult)));
}
template<typename SparseDtmcModelType>
std::unique_ptr<CheckResult> SparseDtmcPrctlModelChecker<SparseDtmcModelType>::computeHOAPathProbabilities(Environment const& env, CheckTask<storm::logic::HOAPathFormula, ValueType> const& checkTask) {
storm::logic::HOAPathFormula const& pathFormula = checkTask.getFormula();
STORM_LOG_INFO("Obtaining HOA automaton...");
storm::automata::DeterministicAutomaton::ptr da = pathFormula.readAutomaton();
const storm::automata::APSet& apSet = da->getAPSet();
STORM_LOG_INFO("Deterministic automaton from HOA file has "
<< da->getNumberOfStates() << " states, "
<< da->getAPSet().size() << " atomic propositions and "
<< *da->getAcceptance()->getAcceptanceExpression() << " as acceptance condition.");
std::map<std::string, storm::storage::BitVector> apSets;
for (std::string const& ap : apSet.getAPs()) {
std::shared_ptr<storm::logic::Formula const> expression = pathFormula.getAPMapping().at(ap);
STORM_LOG_INFO("Computing satisfaction set for atomic proposition \"" << ap << "\" <=> " << *expression << "...");
std::unique_ptr<CheckResult> resultPointer = this->check(*expression);
ExplicitQualitativeCheckResult const& result = resultPointer->asExplicitQualitativeCheckResult();
storm::storage::BitVector bitVector = result.getTruthValuesVector();
STORM_LOG_INFO("Atomic proposition \"" << ap << "\" is satisfied by " << bitVector.getNumberOfSetBits() << " states.");
apSets[ap] = std::move(bitVector);
}
const SparseDtmcModelType& dtmc = this->getModel();
storm::solver::SolveGoal<ValueType> goal(dtmc, checkTask);
std::vector<ValueType> numericResult = storm::modelchecker::helper::SparseDtmcPrctlHelper<ValueType>::computeDAProductProbabilities(env, dtmc, std::move(goal), *da, apSets, checkTask.isQualitativeSet());
return std::unique_ptr<CheckResult>(new ExplicitQuantitativeCheckResult<ValueType>(std::move(numericResult)));
}
template<typename SparseDtmcModelType>
std::unique_ptr<CheckResult> SparseDtmcPrctlModelChecker<SparseDtmcModelType>::computeLTLProbabilities(Environment const& env, CheckTask<storm::logic::PathFormula, ValueType> const& checkTask) {
storm::logic::PathFormula const& pathFormula = checkTask.getFormula();
std::vector<storm::logic::ExtractMaximalStateFormulasVisitor::LabelFormulaPair> extracted;
std::shared_ptr<storm::logic::Formula> ltlFormula = storm::logic::ExtractMaximalStateFormulasVisitor::extract(pathFormula, extracted);
STORM_LOG_INFO("Extracting maximal state formulas and computing satisfaction sets for path formula: " << pathFormula);
std::map<std::string, storm::storage::BitVector> apSets;
for (auto& p : extracted) {
STORM_LOG_INFO(" Computing satisfaction set for atomic proposition \"" << p.first << "\" <=> " << *p.second << "...");
std::unique_ptr<CheckResult> subResultPointer = this->check(env, *p.second);
ExplicitQualitativeCheckResult const& subResult = subResultPointer->asExplicitQualitativeCheckResult();
auto sat = subResult.getTruthValuesVector();
STORM_LOG_INFO(" Atomic proposition \"" << p.first << "\" is satisfied by " << sat.getNumberOfSetBits() << " states.");
apSets[p.first] = std::move(sat);
}
STORM_LOG_INFO("Resulting LTL path formula: " << *ltlFormula);
STORM_LOG_INFO(" in prefix format: " << ltlFormula->toPrefixString());
std::shared_ptr<storm::automata::DeterministicAutomaton> da = storm::automata::LTL2DeterministicAutomaton::ltl2da(*ltlFormula);
STORM_LOG_INFO("Deterministic automaton for LTL formula has "
<< da->getNumberOfStates() << " states, "
<< da->getAPSet().size() << " atomic propositions and "
<< *da->getAcceptance()->getAcceptanceExpression() << " as acceptance condition.");
const SparseDtmcModelType& dtmc = this->getModel();
storm::solver::SolveGoal<ValueType> goal(dtmc, checkTask);
std::vector<ValueType> numericResult = storm::modelchecker::helper::SparseDtmcPrctlHelper<ValueType>::computeDAProductProbabilities(env, dtmc, std::move(goal), *da, apSets, checkTask.isQualitativeSet());
return std::unique_ptr<CheckResult>(new ExplicitQuantitativeCheckResult<ValueType>(std::move(numericResult)));
}
template<typename SparseDtmcModelType>
std::unique_ptr<CheckResult> SparseDtmcPrctlModelChecker<SparseDtmcModelType>::computeCumulativeRewards(Environment const& env, storm::logic::RewardMeasureType, CheckTask<storm::logic::CumulativeRewardFormula, ValueType> const& checkTask) {
storm::logic::CumulativeRewardFormula const& rewardPathFormula = checkTask.getFormula();
@ -134,7 +211,7 @@ namespace storm {
return std::unique_ptr<CheckResult>(new ExplicitQuantitativeCheckResult<ValueType>(std::move(numericResult)));
}
}
template<typename SparseDtmcModelType>
std::unique_ptr<CheckResult> SparseDtmcPrctlModelChecker<SparseDtmcModelType>::computeInstantaneousRewards(Environment const& env, storm::logic::RewardMeasureType, CheckTask<storm::logic::InstantaneousRewardFormula, ValueType> const& checkTask) {
storm::logic::InstantaneousRewardFormula const& rewardPathFormula = checkTask.getFormula();
@ -142,7 +219,7 @@ namespace storm {
std::vector<ValueType> numericResult = storm::modelchecker::helper::SparseDtmcPrctlHelper<ValueType>::computeInstantaneousRewards(env, storm::solver::SolveGoal<ValueType>(this->getModel(), checkTask), this->getModel().getTransitionMatrix(), checkTask.isRewardModelSet() ? this->getModel().getRewardModel(checkTask.getRewardModel()) : this->getModel().getRewardModel(""), rewardPathFormula.getBound<uint64_t>());
return std::unique_ptr<CheckResult>(new ExplicitQuantitativeCheckResult<ValueType>(std::move(numericResult)));
}
template<typename SparseDtmcModelType>
std::unique_ptr<CheckResult> SparseDtmcPrctlModelChecker<SparseDtmcModelType>::computeReachabilityRewards(Environment const& env, storm::logic::RewardMeasureType, CheckTask<storm::logic::EventuallyFormula, ValueType> const& checkTask) {
storm::logic::EventuallyFormula const& eventuallyFormula = checkTask.getFormula();
@ -152,7 +229,7 @@ namespace storm {
std::vector<ValueType> numericResult = storm::modelchecker::helper::SparseDtmcPrctlHelper<ValueType>::computeReachabilityRewards(env, storm::solver::SolveGoal<ValueType>(this->getModel(), checkTask), this->getModel().getTransitionMatrix(), this->getModel().getBackwardTransitions(), rewardModel.get(), subResult.getTruthValuesVector(), checkTask.isQualitativeSet(), checkTask.getHint());
return std::unique_ptr<CheckResult>(new ExplicitQuantitativeCheckResult<ValueType>(std::move(numericResult)));
}
template<typename SparseDtmcModelType>
std::unique_ptr<CheckResult> SparseDtmcPrctlModelChecker<SparseDtmcModelType>::computeReachabilityTimes(Environment const& env, storm::logic::RewardMeasureType, CheckTask<storm::logic::EventuallyFormula, ValueType> const& checkTask) {
storm::logic::EventuallyFormula const& eventuallyFormula = checkTask.getFormula();
@ -161,7 +238,7 @@ namespace storm {
std::vector<ValueType> numericResult = storm::modelchecker::helper::SparseDtmcPrctlHelper<ValueType>::computeReachabilityTimes(env, storm::solver::SolveGoal<ValueType>(this->getModel(), checkTask), this->getModel().getTransitionMatrix(), this->getModel().getBackwardTransitions(), subResult.getTruthValuesVector(), checkTask.isQualitativeSet(), checkTask.getHint());
return std::unique_ptr<CheckResult>(new ExplicitQuantitativeCheckResult<ValueType>(std::move(numericResult)));
}
template<typename SparseDtmcModelType>
std::unique_ptr<CheckResult> SparseDtmcPrctlModelChecker<SparseDtmcModelType>::computeTotalRewards(Environment const& env, storm::logic::RewardMeasureType, CheckTask<storm::logic::TotalRewardFormula, ValueType> const& checkTask) {
auto rewardModel = storm::utility::createFilteredRewardModel(this->getModel(), checkTask);
@ -171,18 +248,18 @@ namespace storm {
template<typename SparseDtmcModelType>
std::unique_ptr<CheckResult> SparseDtmcPrctlModelChecker<SparseDtmcModelType>::computeLongRunAverageProbabilities(Environment const& env, CheckTask<storm::logic::StateFormula, ValueType> const& checkTask) {
storm::logic::StateFormula const& stateFormula = checkTask.getFormula();
std::unique_ptr<CheckResult> subResultPointer = this->check(env, stateFormula);
ExplicitQualitativeCheckResult const& subResult = subResultPointer->asExplicitQualitativeCheckResult();
storm::modelchecker::helper::SparseDeterministicInfiniteHorizonHelper<ValueType> helper(this->getModel().getTransitionMatrix());
storm::modelchecker::helper::setInformationFromCheckTaskDeterministic(helper, checkTask, this->getModel());
auto values = helper.computeLongRunAverageProbabilities(env, subResult.getTruthValuesVector());
return std::unique_ptr<CheckResult>(new ExplicitQuantitativeCheckResult<ValueType>(std::move(values)));
}
template<typename SparseDtmcModelType>
std::unique_ptr<CheckResult> SparseDtmcPrctlModelChecker<SparseDtmcModelType>::computeLongRunAverageRewards(Environment const& env, storm::logic::RewardMeasureType rewardMeasureType, CheckTask<storm::logic::LongRunAverageRewardFormula, ValueType> const& checkTask) {
auto rewardModel = storm::utility::createFilteredRewardModel(this->getModel(), checkTask);
@ -191,7 +268,7 @@ namespace storm {
auto values = helper.computeLongRunAverageRewards(env, rewardModel.get());
return std::unique_ptr<CheckResult>(new ExplicitQuantitativeCheckResult<ValueType>(std::move(values)));
}
template<typename SparseDtmcModelType>
std::unique_ptr<CheckResult> SparseDtmcPrctlModelChecker<SparseDtmcModelType>::computeConditionalProbabilities(Environment const& env, CheckTask<storm::logic::ConditionalFormula, ValueType> const& checkTask) {
storm::logic::ConditionalFormula const& conditionalFormula = checkTask.getFormula();
@ -206,28 +283,28 @@ namespace storm {
std::vector<ValueType> numericResult = storm::modelchecker::helper::SparseDtmcPrctlHelper<ValueType>::computeConditionalProbabilities(env, storm::solver::SolveGoal<ValueType>(this->getModel(), checkTask), this->getModel().getTransitionMatrix(), this->getModel().getBackwardTransitions(), leftResult.getTruthValuesVector(), rightResult.getTruthValuesVector(), checkTask.isQualitativeSet());
return std::unique_ptr<CheckResult>(new ExplicitQuantitativeCheckResult<ValueType>(std::move(numericResult)));
}
template<typename SparseDtmcModelType>
std::unique_ptr<CheckResult> SparseDtmcPrctlModelChecker<SparseDtmcModelType>::computeConditionalRewards(Environment const& env, storm::logic::RewardMeasureType, CheckTask<storm::logic::ConditionalFormula, ValueType> const& checkTask) {
storm::logic::ConditionalFormula const& conditionalFormula = checkTask.getFormula();
STORM_LOG_THROW(conditionalFormula.getSubformula().isReachabilityRewardFormula(), storm::exceptions::InvalidPropertyException, "Illegal conditional probability formula.");
STORM_LOG_THROW(conditionalFormula.getConditionFormula().isEventuallyFormula(), storm::exceptions::InvalidPropertyException, "Illegal conditional probability formula.");
std::unique_ptr<CheckResult> leftResultPointer = this->check(env, conditionalFormula.getSubformula().asReachabilityRewardFormula().getSubformula());
std::unique_ptr<CheckResult> rightResultPointer = this->check(env, conditionalFormula.getConditionFormula().asEventuallyFormula().getSubformula());
ExplicitQualitativeCheckResult const& leftResult = leftResultPointer->asExplicitQualitativeCheckResult();
ExplicitQualitativeCheckResult const& rightResult = rightResultPointer->asExplicitQualitativeCheckResult();
std::vector<ValueType> numericResult = storm::modelchecker::helper::SparseDtmcPrctlHelper<ValueType>::computeConditionalRewards(env, storm::solver::SolveGoal<ValueType>(this->getModel(), checkTask), this->getModel().getTransitionMatrix(), this->getModel().getBackwardTransitions(), checkTask.isRewardModelSet() ? this->getModel().getRewardModel(checkTask.getRewardModel()) : this->getModel().getRewardModel(""), leftResult.getTruthValuesVector(), rightResult.getTruthValuesVector(), checkTask.isQualitativeSet());
return std::unique_ptr<CheckResult>(new ExplicitQuantitativeCheckResult<ValueType>(std::move(numericResult)));
}
template<>
std::unique_ptr<CheckResult> SparseDtmcPrctlModelChecker<storm::models::sparse::Dtmc<storm::RationalFunction>>::checkQuantileFormula(Environment const& env, CheckTask<storm::logic::QuantileFormula, ValueType> const& checkTask) {
STORM_LOG_THROW(false, storm::exceptions::NotImplementedException, "Quantiles for parametric models are not implemented.");
}
template<typename SparseDtmcModelType>
std::unique_ptr<CheckResult> SparseDtmcPrctlModelChecker<SparseDtmcModelType>::checkQuantileFormula(Environment const& env, CheckTask<storm::logic::QuantileFormula, ValueType> const& checkTask) {
STORM_LOG_THROW(checkTask.isOnlyInitialStatesRelevantSet(), storm::exceptions::InvalidOperationException, "Computing quantiles is only supported for the initial states of a model.");
@ -236,19 +313,19 @@ namespace storm {
helper::rewardbounded::QuantileHelper<SparseDtmcModelType> qHelper(this->getModel(), checkTask.getFormula());
auto res = qHelper.computeQuantile(env);
if (res.size() == 1 && res.front().size() == 1) {
return std::unique_ptr<CheckResult>(new ExplicitQuantitativeCheckResult<ValueType>(initialState, std::move(res.front().front())));
} else {
return std::unique_ptr<CheckResult>(new ExplicitParetoCurveCheckResult<ValueType>(initialState, std::move(res)));
}
}
template <typename SparseCtmcModelType>
std::unique_ptr<CheckResult> SparseDtmcPrctlModelChecker<SparseCtmcModelType>::computeSteadyStateDistribution(Environment const& env) {
// Initialize helper
storm::modelchecker::helper::SparseDeterministicInfiniteHorizonHelper<ValueType> helper(this->getModel().getTransitionMatrix());
// Compute result
std::vector<ValueType> result;
auto const& initialStates = this->getModel().getInitialStates();
@ -265,7 +342,7 @@ namespace storm {
return std::unique_ptr<CheckResult>(new ExplicitQuantitativeCheckResult<ValueType>(std::move(result)));
}
template class SparseDtmcPrctlModelChecker<storm::models::sparse::Dtmc<double>>;
#ifdef STORM_HAVE_CARL

15
src/storm/modelchecker/prctl/SparseDtmcPrctlModelChecker.h
View File

@ -9,21 +9,21 @@
namespace storm {
namespace modelchecker {
template<class SparseDtmcModelType>
class SparseDtmcPrctlModelChecker : public SparsePropositionalModelChecker<SparseDtmcModelType> {
public:
typedef typename SparseDtmcModelType::ValueType ValueType;
typedef typename SparseDtmcModelType::RewardModelType RewardModelType;
explicit SparseDtmcPrctlModelChecker(SparseDtmcModelType const& model);
/*!
* Returns false, if this task can certainly not be handled by this model checker (independent of the concrete model).
* @param requiresSingleInitialState if not nullptr, this flag is set to true iff checking this formula requires a model with a single initial state
*/
static bool canHandleStatic(CheckTask<storm::logic::Formula, ValueType> const& checkTask, bool* requiresSingleInitialState = nullptr);
// The implemented methods of the AbstractModelChecker interface.
virtual bool canHandle(CheckTask<storm::logic::Formula, ValueType> const& checkTask) const override;
virtual std::unique_ptr<CheckResult> computeBoundedUntilProbabilities(Environment const& env, CheckTask<storm::logic::BoundedUntilFormula, ValueType> const& checkTask) override;
@ -32,6 +32,7 @@ namespace storm {
virtual std::unique_ptr<CheckResult> computeGloballyProbabilities(Environment const& env, CheckTask<storm::logic::GloballyFormula, ValueType> const& checkTask) override;
virtual std::unique_ptr<CheckResult> computeConditionalProbabilities(Environment const& env, CheckTask<storm::logic::ConditionalFormula, ValueType> const& checkTask) override;
virtual std::unique_ptr<CheckResult> computeLongRunAverageProbabilities(Environment const& env, CheckTask<storm::logic::StateFormula, ValueType> const& checkTask) override;
virtual std::unique_ptr<CheckResult> computeLTLProbabilities(Environment const& env, CheckTask<storm::logic::PathFormula, ValueType> const& checkTask) override;
virtual std::unique_ptr<CheckResult> computeCumulativeRewards(Environment const& env, storm::logic::RewardMeasureType rewardMeasureType, CheckTask<storm::logic::CumulativeRewardFormula, ValueType> const& checkTask) override;
virtual std::unique_ptr<CheckResult> computeInstantaneousRewards(Environment const& env, storm::logic::RewardMeasureType rewardMeasureType, CheckTask<storm::logic::InstantaneousRewardFormula, ValueType> const& checkTask) override;
@ -41,15 +42,15 @@ namespace storm {
virtual std::unique_ptr<CheckResult> computeLongRunAverageRewards(Environment const& env, storm::logic::RewardMeasureType rewardMeasureType, CheckTask<storm::logic::LongRunAverageRewardFormula, ValueType> const& checkTask) override;
virtual std::unique_ptr<CheckResult> computeReachabilityTimes(Environment const& env, storm::logic::RewardMeasureType rewardMeasureType, CheckTask<storm::logic::EventuallyFormula, ValueType> const& checkTask) override;
virtual std::unique_ptr<CheckResult> checkQuantileFormula(Environment const& env, CheckTask<storm::logic::QuantileFormula, ValueType> const& checkTask) override;
/*!
* Computes the long run average (or: steady state) distribution over all states
* Assumes a uniform distribution over initial states.
*/
std::unique_ptr<CheckResult> computeSteadyStateDistribution(Environment const& env);
};
} // namespace modelchecker
} // namespace storm

Write Preview
Loading…
Cancel
Save