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Fixed an issue with multi-objective model checking preprocessor not correctly preserving reachability rewards

tempestpy_adaptions
TimQu 5 years ago
parent
commit
22a19d68ba
  1. 44
      src/storm/modelchecker/multiobjective/preprocessing/SparseMultiObjectivePreprocessor.cpp
  2. 5
      src/storm/modelchecker/multiobjective/preprocessing/SparseMultiObjectivePreprocessor.h
  3. 6
      src/storm/transformer/SubsystemBuilder.cpp
  4. 2
      src/storm/transformer/SubsystemBuilder.h

44
src/storm/modelchecker/multiobjective/preprocessing/SparseMultiObjectivePreprocessor.cpp

@ -54,9 +54,11 @@ namespace storm {
} }
// Remove states that are irrelevant for all properties (e.g. because they are only reachable via goal states // Remove states that are irrelevant for all properties (e.g. because they are only reachable via goal states
removeIrrelevantStates(model, originalFormula);
boost::optional<std::string> deadlockLabel;
removeIrrelevantStates(model, deadlockLabel, originalFormula);
PreprocessorData data(model); PreprocessorData data(model);
data.deadlockLabel = deadlockLabel;
//Invoke preprocessing on the individual objectives //Invoke preprocessing on the individual objectives
for (auto const& subFormula : originalFormula.getSubformulas()) { for (auto const& subFormula : originalFormula.getSubformulas()) {
@ -90,18 +92,7 @@ namespace storm {
} }
template <typename SparseModelType> template <typename SparseModelType>
storm::storage::BitVector getZeroRewardStates(SparseModelType const& model, storm::storage::SparseMatrix<typename SparseModelType::ValueType> const& backwardTransitions, typename SparseModelType::RewardModelType const& rewardModel, boost::optional<storm::storage::BitVector> const& rew0States) {
storm::storage::BitVector statesWithoutReward = rewardModel.getStatesWithZeroReward(model.getTransitionMatrix());
if (rew0States) {
statesWithoutReward |= rew0States.get();
}
storm::storage::BitVector result = storm::utility::graph::performProbGreater0E(model.getBackwardTransitions(), statesWithoutReward, ~statesWithoutReward);
result.complement();
return result;
}
template <typename SparseModelType>
void SparseMultiObjectivePreprocessor<SparseModelType>::removeIrrelevantStates(std::shared_ptr<SparseModelType>& model, storm::logic::MultiObjectiveFormula const& originalFormula) {
void SparseMultiObjectivePreprocessor<SparseModelType>::removeIrrelevantStates(std::shared_ptr<SparseModelType>& model, boost::optional<std::string>& deadlockLabel, storm::logic::MultiObjectiveFormula const& originalFormula) {
storm::storage::BitVector absorbingStates(model->getNumberOfStates(), true); storm::storage::BitVector absorbingStates(model->getNumberOfStates(), true);
storm::modelchecker::SparsePropositionalModelChecker<SparseModelType> mc(*model); storm::modelchecker::SparsePropositionalModelChecker<SparseModelType> mc(*model);
@ -161,9 +152,12 @@ namespace storm {
if (pathFormula.isEventuallyFormula()) { if (pathFormula.isEventuallyFormula()) {
auto rewardModel = storm::utility::createFilteredRewardModel(baseRewardModel, model->isDiscreteTimeModel(), pathFormula.asEventuallyFormula()); auto rewardModel = storm::utility::createFilteredRewardModel(baseRewardModel, model->isDiscreteTimeModel(), pathFormula.asEventuallyFormula());
storm::storage::BitVector statesWithoutReward = rewardModel.get().getStatesWithZeroReward(model->getTransitionMatrix()); storm::storage::BitVector statesWithoutReward = rewardModel.get().getStatesWithZeroReward(model->getTransitionMatrix());
// Make states that can not reach a state with non-zero reward absorbing
absorbingStatesForSubformula = storm::utility::graph::performProb0A(backwardTransitions, statesWithoutReward, ~statesWithoutReward); absorbingStatesForSubformula = storm::utility::graph::performProb0A(backwardTransitions, statesWithoutReward, ~statesWithoutReward);
auto phi = mc.check(pathFormula.asEventuallyFormula().getSubformula())->asExplicitQualitativeCheckResult().getTruthValuesVector(); auto phi = mc.check(pathFormula.asEventuallyFormula().getSubformula())->asExplicitQualitativeCheckResult().getTruthValuesVector();
// Make states that reach phi with prob 1 while only visiting states with reward 0 absorbing
absorbingStatesForSubformula |= storm::utility::graph::performProb1A(model->getTransitionMatrix(), model->getTransitionMatrix().getRowGroupIndices(), backwardTransitions, statesWithoutReward, phi); absorbingStatesForSubformula |= storm::utility::graph::performProb1A(model->getTransitionMatrix(), model->getTransitionMatrix().getRowGroupIndices(), backwardTransitions, statesWithoutReward, phi);
// Make states that are only reachable via phi absorbing
absorbingStatesForSubformula |= getOnlyReachableViaPhi(*model, phi); absorbingStatesForSubformula |= getOnlyReachableViaPhi(*model, phi);
} else if (pathFormula.isCumulativeRewardFormula()) { } else if (pathFormula.isCumulativeRewardFormula()) {
auto rewardModel = storm::utility::createFilteredRewardModel(baseRewardModel, model->isDiscreteTimeModel(), pathFormula.asCumulativeRewardFormula()); auto rewardModel = storm::utility::createFilteredRewardModel(baseRewardModel, model->isDiscreteTimeModel(), pathFormula.asCumulativeRewardFormula());
@ -205,6 +199,7 @@ namespace storm {
auto const& submodel = storm::transformer::buildSubsystem(*model, storm::storage::BitVector(model->getNumberOfStates(), true), subsystemActions, false, options); auto const& submodel = storm::transformer::buildSubsystem(*model, storm::storage::BitVector(model->getNumberOfStates(), true), subsystemActions, false, options);
STORM_LOG_INFO("Making states absorbing reduced the state space from " << model->getNumberOfStates() << " to " << submodel.model->getNumberOfStates() << "."); STORM_LOG_INFO("Making states absorbing reduced the state space from " << model->getNumberOfStates() << " to " << submodel.model->getNumberOfStates() << ".");
model = submodel.model->template as<SparseModelType>(); model = submodel.model->template as<SparseModelType>();
deadlockLabel = submodel.deadlockLabel;
} }
} }
@ -489,13 +484,32 @@ namespace storm {
} else { } else {
STORM_LOG_INFO("Objective " << *data.objectives.back()->originalFormula << " can not be transformed to an expected total/cumulative reward property."); STORM_LOG_INFO("Objective " << *data.objectives.back()->originalFormula << " can not be transformed to an expected total/cumulative reward property.");
if (formula.isReachabilityRewardFormula()) { if (formula.isReachabilityRewardFormula()) {
// TODO: this probably needs some better treatment regarding schedulers that do not reach the goal state allmost surely
assert(optionalRewardModelName.is_initialized()); assert(optionalRewardModelName.is_initialized());
if (data.deadlockLabel) {
// We made some states absorbing and created a new deadlock state. To make sure that this deadlock state gets value zero, we add it to the set of goal states of the formula.
std::shared_ptr<storm::logic::Formula const> newSubSubformula = std::make_shared<storm::logic::AtomicLabelFormula const>(data.deadlockLabel.get());
std::shared_ptr<storm::logic::Formula const> newSubformula = std::make_shared<storm::logic::BinaryBooleanStateFormula const>(storm::logic::BinaryBooleanStateFormula::OperatorType::Or, formula.getSubformula().asSharedPointer(), newSubSubformula);
boost::optional<storm::logic::RewardAccumulation> newRewardAccumulation;
if (formula.hasRewardAccumulation()) {
newRewardAccumulation = formula.getRewardAccumulation();
}
std::shared_ptr<storm::logic::Formula const> newFormula = std::make_shared<storm::logic::EventuallyFormula const>(newSubformula, formula.getContext(), newRewardAccumulation);
data.objectives.back()->formula = std::make_shared<storm::logic::RewardOperatorFormula>(newFormula, optionalRewardModelName.get(), opInfo);
} else {
data.objectives.back()->formula = std::make_shared<storm::logic::RewardOperatorFormula>(formula.asSharedPointer(), optionalRewardModelName.get(), opInfo); data.objectives.back()->formula = std::make_shared<storm::logic::RewardOperatorFormula>(formula.asSharedPointer(), optionalRewardModelName.get(), opInfo);
}
} else if (formula.isReachabilityTimeFormula() && data.model->isOfType(storm::models::ModelType::MarkovAutomaton)) { } else if (formula.isReachabilityTimeFormula() && data.model->isOfType(storm::models::ModelType::MarkovAutomaton)) {
// Reduce to reachability rewards so that time formulas do not have to be treated seperately later. // Reduce to reachability rewards so that time formulas do not have to be treated seperately later.
std::string rewardModelName = data.rewardModelNamePrefix + std::to_string(data.objectives.size()); std::string rewardModelName = data.rewardModelNamePrefix + std::to_string(data.objectives.size());
auto newsubformula = std::make_shared<storm::logic::EventuallyFormula>(formula.getSubformula().asSharedPointer(), storm::logic::FormulaContext::Reward);
data.objectives.back()->formula = std::make_shared<storm::logic::RewardOperatorFormula>(newsubformula, rewardModelName, opInfo);
std::shared_ptr<storm::logic::Formula const> newSubformula = formula.getSubformula().asSharedPointer();
if (data.deadlockLabel) {
// We made some states absorbing and created a new deadlock state. To make sure that this deadlock state gets value zero, we add it to the set of goal states of the formula.
std::shared_ptr<storm::logic::Formula const> newSubSubformula = std::make_shared<storm::logic::AtomicLabelFormula const>(data.deadlockLabel.get());
newSubformula = std::make_shared<storm::logic::BinaryBooleanStateFormula const>(storm::logic::BinaryBooleanStateFormula::OperatorType::Or, formula.getSubformula().asSharedPointer(), newSubSubformula);
}
auto newFormula = std::make_shared<storm::logic::EventuallyFormula>(newSubformula, storm::logic::FormulaContext::Reward);
data.objectives.back()->formula = std::make_shared<storm::logic::RewardOperatorFormula>(newFormula, rewardModelName, opInfo);
std::vector<typename SparseModelType::ValueType> timeRewards(data.model->getNumberOfStates(), storm::utility::zero<typename SparseModelType::ValueType>()); std::vector<typename SparseModelType::ValueType> timeRewards(data.model->getNumberOfStates(), storm::utility::zero<typename SparseModelType::ValueType>());
storm::utility::vector::setVectorValues(timeRewards, dynamic_cast<storm::models::sparse::MarkovAutomaton<typename SparseModelType::ValueType> const&>(*data.model).getMarkovianStates(), storm::utility::one<typename SparseModelType::ValueType>()); storm::utility::vector::setVectorValues(timeRewards, dynamic_cast<storm::models::sparse::MarkovAutomaton<typename SparseModelType::ValueType> const&>(*data.model).getMarkovianStates(), storm::utility::one<typename SparseModelType::ValueType>());
data.model->addRewardModel(rewardModelName, typename SparseModelType::RewardModelType(std::move(timeRewards))); data.model->addRewardModel(rewardModelName, typename SparseModelType::RewardModelType(std::move(timeRewards)));

5
src/storm/modelchecker/multiobjective/preprocessing/SparseMultiObjectivePreprocessor.h

@ -47,13 +47,16 @@ namespace storm {
std::string rewardModelNamePrefix; std::string rewardModelNamePrefix;
// If set, some states have been merged to a deadlock state with this label.
boost::optional<std::string> deadlockLabel;
PreprocessorData(std::shared_ptr<SparseModelType> model); PreprocessorData(std::shared_ptr<SparseModelType> model);
}; };
/*! /*!
* Removes states that are irrelevant for all objectives, e.g., because they are only reachable via goal states. * Removes states that are irrelevant for all objectives, e.g., because they are only reachable via goal states.
*/ */
static void removeIrrelevantStates(std::shared_ptr<SparseModelType>& model, storm::logic::MultiObjectiveFormula const& originalFormula);
static void removeIrrelevantStates(std::shared_ptr<SparseModelType>& model, boost::optional<std::string>& deadlockLabel, storm::logic::MultiObjectiveFormula const& originalFormula);
/*! /*!
* Apply the neccessary preprocessing for the given formula. * Apply the neccessary preprocessing for the given formula.

6
src/storm/transformer/SubsystemBuilder.cpp

@ -168,6 +168,12 @@ namespace storm {
components.choiceOrigins.get()->clearOriginOfChoice(choice); components.choiceOrigins.get()->clearOriginOfChoice(choice);
} }
} }
// get a unique label for the deadlock states
result.deadlockLabel = "deadl";
while (components.stateLabeling.containsLabel(result.deadlockLabel.get())) {
result.deadlockLabel->push_back('_');
}
components.stateLabeling.addLabel(result.deadlockLabel.get(), std::move(subDeadlockStates));
} }
transformModelSpecificComponents<ValueType, RewardModelType>(originalModel, subsystemStates, components); transformModelSpecificComponents<ValueType, RewardModelType>(originalModel, subsystemStates, components);

2
src/storm/transformer/SubsystemBuilder.h

@ -21,6 +21,8 @@ namespace storm {
std::vector<uint64_t> newToOldActionIndexMapping; std::vector<uint64_t> newToOldActionIndexMapping;
// marks the actions of the original model that are still available in the subsystem // marks the actions of the original model that are still available in the subsystem
storm::storage::BitVector keptActions; storm::storage::BitVector keptActions;
// If set, deadlock states have been introduced and have been assigned this label.
boost::optional<std::string> deadlockLabel;
}; };
struct SubsystemBuilderOptions { struct SubsystemBuilderOptions {

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