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fixes to player 1 choice labeling

tempestpy_adaptions
dehnert 7 years ago
parent
commit
14bad02bc4
  1. 30
      src/storm/abstraction/MenuGameRefiner.cpp
  2. 8
      src/storm/modelchecker/abstraction/GameBasedMdpModelChecker.cpp

30
src/storm/abstraction/MenuGameRefiner.cpp

@ -394,11 +394,8 @@ namespace storm {
// Derive predicates from lower choice.
storm::dd::Bdd<Type> lowerChoice = pivotState && game.getExtendedTransitionMatrix().toBdd() && minPlayer1Strategy;
lowerChoice.template toAdd<ValueType>().exportToDot("lower.dot");
storm::dd::Bdd<Type> lowerChoice1 = (lowerChoice && minPlayer2Strategy).existsAbstract(variablesToAbstract);
lowerChoice1.template toAdd<ValueType>().exportToDot("lower1.dot");
storm::dd::Bdd<Type> lowerChoice2 = (lowerChoice && maxPlayer2Strategy).existsAbstract(variablesToAbstract);
lowerChoice2.template toAdd<ValueType>().exportToDot("lower2.dot");
bool lowerChoicesDifferent = !lowerChoice1.exclusiveOr(lowerChoice2).isZero() && !lowerChoice1.isZero() && !lowerChoice2.isZero();
if (lowerChoicesDifferent) {
@ -649,14 +646,14 @@ namespace storm {
for (auto const& predicate : step) {
interpolatingSolver.add(predicate);
}
++stepCounter;
storm::solver::SmtSolver::CheckResult result = interpolatingSolver.check();
// If the result already became unsatisfiable
if (result == storm::solver::SmtSolver::CheckResult::Unsat) {
STORM_LOG_TRACE("Trace formula became unsatisfiable after step " << (stepCounter - 1) << ".");
STORM_LOG_TRACE("Trace formula became unsatisfiable after step " << stepCounter << ".");
break;
}
++stepCounter;
}
// Now encode the trace as an SMT problem.
@ -666,14 +663,14 @@ namespace storm {
std::vector<storm::expressions::Expression> interpolants;
std::vector<uint64_t> prefix;
for (uint64_t step = 0; step + 1 < stepCounter; ++step) {
for (uint64_t step = 0; step < stepCounter; ++step) {
prefix.push_back(step);
storm::expressions::Expression interpolant = interpolatingSolver.getInterpolant(prefix).substitute(variableSubstitution).changeManager(abstractionInformation.getExpressionManager());
if (!interpolant.isTrue() && !interpolant.isFalse()) {
STORM_LOG_DEBUG("Derived new predicate (based on interpolation): " << interpolant);
interpolants.push_back(interpolant);
} else {
STORM_LOG_TRACE("Found interpolant is '" << interpolant << "'.");
STORM_LOG_ASSERT(false, "The found interpolant is '" << interpolant << "', which shouldn't happen.");
}
}
return boost::make_optional(RefinementPredicates(RefinementPredicates::Source::Interpolation, interpolants));
@ -843,6 +840,7 @@ namespace storm {
bool considerDeviation = (pivotSelectionHeuristic == storm::settings::modules::AbstractionSettings::PivotSelectionHeuristic::NearestMaximalDeviation || pivotSelectionHeuristic == storm::settings::modules::AbstractionSettings::PivotSelectionHeuristic::MaxWeightedDeviation) && lowerValues && upperValues;
bool foundPivotState = false;
ValueType pivotStateDeviation = storm::utility::zero<ValueType>();
auto const& player2Grouping = transitionMatrix.getRowGroupIndices();
while (!dijkstraQueue.empty()) {
auto distanceStatePair = *dijkstraQueue.begin();
@ -876,7 +874,6 @@ namespace storm {
isPivotState = true;
}
}
// If it is indeed a pivot state, we can abort the search here.
if (isPivotState) {
if (considerDeviation && foundPivotState) {
@ -905,6 +902,7 @@ namespace storm {
if (minStrategyPair.getPlayer1Strategy().hasDefinedChoice(currentState)) {
uint64_t minPlayer2Successor = minStrategyPair.getPlayer1Strategy().getChoice(currentState);
uint64_t minPlayer2Choice = minStrategyPair.getPlayer2Strategy().getChoice(minPlayer2Successor);
STORM_LOG_ASSERT(player2Grouping[minPlayer2Successor] <= minPlayer2Choice && minPlayer2Choice < player2Grouping[minPlayer2Successor + 1], "Illegal choice for player 2.");
for (auto const& entry : transitionMatrix.getRow(minPlayer2Choice)) {
uint64_t player1Successor = entry.getColumn();
@ -925,6 +923,7 @@ namespace storm {
if (maxStrategyPair.getPlayer1Strategy().hasDefinedChoice(currentState)) {
uint64_t maxPlayer2Successor = maxStrategyPair.getPlayer1Strategy().getChoice(currentState);
uint64_t maxPlayer2Choice = maxStrategyPair.getPlayer2Strategy().getChoice(maxPlayer2Successor);
STORM_LOG_ASSERT(player2Grouping[maxPlayer2Successor] <= maxPlayer2Choice && maxPlayer2Choice < player2Grouping[maxPlayer2Successor + 1], "Illegal choice for player 2.");
for (auto const& entry : transitionMatrix.getRow(maxPlayer2Choice)) {
uint64_t player1Successor = entry.getColumn();
@ -936,7 +935,7 @@ namespace storm {
if ((probabilityDistances && alternateDistance > distances[player1Successor]) || (!probabilityDistances && alternateDistance < distances[player1Successor])) {
distances[player1Successor] = alternateDistance;
if (generatePredecessors) {
result.predecessors[player1Successor] = std::make_pair(currentState, maxPlayer2Successor);
result.predecessors[player1Successor] = std::make_pair(currentState, player1Labeling[maxPlayer2Successor]);
}
dijkstraQueue.emplace(alternateDistance, player1Successor);
}
@ -977,7 +976,8 @@ namespace storm {
storm::dd::Bdd<Type> maxPlayer2Strategy = game.getManager().getBddZero();
if (minStrategyPair.getPlayer1Strategy().hasDefinedChoice(pivotState)) {
uint64_t player2State = minStrategyPair.getPlayer1Strategy().getChoice(pivotState);
minPlayer1Strategy |= symbolicPivotState && abstractionInformation.encodePlayer1Choice(player1Labeling[transitionMatrix.getRowGroupIndices()[player2State]], abstractionInformation.getPlayer1VariableCount());
STORM_LOG_ASSERT(player1Grouping[pivotState] <= player2State && player2State < player1Grouping[pivotState + 1], "Illegal choice for player 1.");
minPlayer1Strategy |= symbolicPivotState && abstractionInformation.encodePlayer1Choice(player1Labeling[player2State], abstractionInformation.getPlayer1VariableCount());
if (minStrategyPair.getPlayer2Strategy().hasDefinedChoice(player2State)) {
uint64_t player2Choice = minStrategyPair.getPlayer2Strategy().getChoice(player2State);
@ -990,7 +990,8 @@ namespace storm {
}
if (maxStrategyPair.getPlayer1Strategy().hasDefinedChoice(pivotState)) {
uint64_t player2State = maxStrategyPair.getPlayer1Strategy().getChoice(pivotState);
maxPlayer1Strategy |= symbolicPivotState && abstractionInformation.encodePlayer1Choice(player1Labeling[transitionMatrix.getRowGroupIndices()[player2State]], abstractionInformation.getPlayer1VariableCount());
STORM_LOG_ASSERT(player1Grouping[pivotState] <= player2State && player2State < player1Grouping[pivotState + 1], "Illegal choice for player 1.");
maxPlayer1Strategy |= symbolicPivotState && abstractionInformation.encodePlayer1Choice(player1Labeling[player2State], abstractionInformation.getPlayer1VariableCount());
if (minStrategyPair.getPlayer2Strategy().hasDefinedChoice(player2State)) {
uint64_t player2Choice = minStrategyPair.getPlayer2Strategy().getChoice(player2State);
@ -1001,6 +1002,11 @@ namespace storm {
maxPlayer2Strategy |= maxPlayer1Strategy && abstractionInformation.encodePlayer2Choice(player2Labeling[player2Choice], 0, game.getPlayer2Variables().size());
}
}
// symbolicPivotState.template toAdd<ValueType>().exportToDot("pivot.dot");
// minPlayer1Strategy.template toAdd<ValueType>().exportToDot("minpl1.dot");
// minPlayer2Strategy.template toAdd<ValueType>().exportToDot("minpl2.dot");
// maxPlayer1Strategy.template toAdd<ValueType>().exportToDot("maxpl1.dot");
// maxPlayer2Strategy.template toAdd<ValueType>().exportToDot("maxpl2.dot");
boost::optional<RefinementPredicates> predicates;
if (useInterpolation) {
predicates = derivePredicatesFromInterpolation(game, pivotStateResult, odd);

8
src/storm/modelchecker/abstraction/GameBasedMdpModelChecker.cpp

@ -689,6 +689,14 @@ namespace storm {
player1Groups[player1State + 1] = player2State;
}
// Lift the player 1 labeling from rows to row groups (player 2 states).
for (uint64_t player1State = 0; player1State < player1Groups.size() - 1; ++player1State) {
for (uint64_t player2State = player1Groups[player1State]; player2State < player1Groups[player1State + 1]; ++player2State) {
player1Labeling[player2State] = player1Labeling[player2RowGrouping[player2State]];
}
}
player1Labeling.resize(player2RowGrouping.size() - 1);
// Create explicit representations of important state sets.
storm::storage::BitVector initialStates = initialStatesBdd.toVector(odd);
storm::storage::BitVector constraintStates = constraintStatesBdd.toVector(odd);

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