public LtmcToDtmc(LabeledTransitionMarkovChain ltmc)
{
var stopwatch = new Stopwatch();
stopwatch.Start();
Console.Out.WriteLine("Starting to convert labeled transition Markov chain to Markov chain");
Console.Out.WriteLine($"Ltmc: States {ltmc.SourceStates.Count}, Transitions {ltmc.Transitions}");
CreateStates(ltmc);
var modelCapacity = new ModelCapacityByModelSize(States, ltmc.Transitions * 8L);
MarkovChain = new DiscreteTimeMarkovChain(modelCapacity);
MarkovChain.StateFormulaLabels = ltmc.StateFormulaLabels;
SetStateLabeling();
ConvertInitialStates(ltmc);
ConvertTransitions(ltmc);
stopwatch.Stop();
Console.Out.WriteLine($"Completed transformation in {stopwatch.Elapsed}");
Console.Out.WriteLine($"Mc: States {MarkovChain.States}, Transitions {MarkovChain.Transitions}");
}
public NmdpToMdpByFlattening(NestedMarkovDecisionProcess nmdp)
: base(nmdp)
{
var stopwatch = new Stopwatch();
stopwatch.Start();
Console.Out.WriteLine("Starting to convert Nested Markov Decision Process to Markov Decision Process");
Console.Out.WriteLine($"Nmdp: States {nmdp.States}, ContinuationGraphSize {nmdp.ContinuationGraphSize}");
var modelCapacity = new ModelCapacityByModelSize(nmdp.States, nmdp.ContinuationGraphSize * 8L);
MarkovDecisionProcess = new MarkovDecisionProcess(modelCapacity);
MarkovDecisionProcess.StateFormulaLabels = nmdp.StateFormulaLabels;
CopyStateLabeling();
ConvertInitialTransitions();
ConvertStateTransitions();
stopwatch.Stop();
_nmdp = null;
Console.Out.WriteLine($"Completed transformation in {stopwatch.Elapsed}");
Console.Out.WriteLine($"Mdp: States {MarkovDecisionProcess.States}, Transitions {MarkovDecisionProcess.Transitions}");
}
public LtmdpToNmdp(LabeledTransitionMarkovDecisionProcess ltmdp)
{
var stopwatch = new Stopwatch();
stopwatch.Start();
Console.Out.WriteLine("Starting to convert labeled transition Markov Decision Process to Nested Markov Decision Process");
Console.Out.WriteLine($"Ltmdp: States {ltmdp.SourceStates.Count}, TransitionTargets {ltmdp.TransitionTargets}, ContinuationGraphSize {ltmdp.ContinuationGraphSize}");
_ltmdp = ltmdp;
CreateStates();
var modelCapacity = new ModelCapacityByModelSize(MdpStates, ltmdp.ContinuationGraphSize * 8L);
NestedMarkovDecisionProcess = new NestedMarkovDecisionProcess(modelCapacity);
NestedMarkovDecisionProcess.StateFormulaLabels = ltmdp.StateFormulaLabels;
SetStateLabeling();
ConvertInitialStates();
ConvertTransitions();
stopwatch.Stop();
_ltmdp = null;
Console.Out.WriteLine($"Completed transformation in {stopwatch.Elapsed}");
Console.Out.WriteLine($"Nmdp: States {NestedMarkovDecisionProcess.States}, ContinuationGraphSize {NestedMarkovDecisionProcess.ContinuationGraphSize}");
}
public NmdpToMdpByNewStates(NestedMarkovDecisionProcess nmdp, TextWriter output = null, bool makeConstantDistanceBetweenStates = true)
: base(nmdp)
{
_output = output ?? Console.Out;
_makeConstantDistanceBetweenStates = makeConstantDistanceBetweenStates;
var stopwatch = new Stopwatch();
stopwatch.Start();
_output.WriteLine("Starting to convert Nested Markov Decision Process to Markov Decision Process");
_output.WriteLine($"Nmdp: States {nmdp.States}, ContinuationGraphSize {nmdp.ContinuationGraphSize}");
var newNumberOfStates = nmdp.ContinuationGraphSize;
var newNumberOfTransitions = nmdp.ContinuationGraphSize;
if (_makeConstantDistanceBetweenStates)
{
newNumberOfStates = 30 * newNumberOfStates;
newNumberOfTransitions = 30 * newNumberOfTransitions;
}
var modelCapacity = new ModelCapacityByModelSize(newNumberOfStates, newNumberOfTransitions);
MarkovDecisionProcess = new MarkovDecisionProcess(modelCapacity);
_nmdpStates = _nmdp.States;
CalculateMaxDistanceBetweenStates();
CreateArtificalStateFormula();
ConvertInitialTransitions();
ConvertStateTransitions();
AddPaddingStatesInMdp();
SetStateLabelings();
stopwatch.Stop();
_nmdp = null;
_output.WriteLine($"Completed transformation in {stopwatch.Elapsed}");
_output.WriteLine($"Mdp: States {MarkovDecisionProcess.States}, Transitions {MarkovDecisionProcess.Transitions}");
}