public bool moveGameState(WSum optimal)
{
var agentsListPair = optimal.sumList;
var prob = _probs;
for (int i = 0; i < agentsListPair.Count; i++)
{
var element = (from sublist in prob
from item in sublist.agentsVector
where item.Key.Id == agentsListPair[i].Key.Id &&
item.Value.action.id == agentsListPair[i].Value.Key.id &&
item.Value.stateBefore.id == agentsListPair[i].Value.Value.id
select sublist).ToList();
prob = null;
prob = element;
}
double sum = prob.Sum(x => x.probTotal);
double probability = getRandomNumber(0, sum);
double cumulative = 0.0;
Probs result = null;
foreach (var strat in prob)
{
cumulative += strat.probTotal;
if (probability < cumulative)
{
result = strat;
break;
}
}
if (result == null)
{
return(false);
}
foreach (var coalition in _coalitions)
{
foreach (var agent in coalition.coalitionMembers)
{
var agentActionStatePair = agentsListPair.Find(x => x.Key.Id == agent.Id).Value;
agent.totalReward += agentActionStatePair.Key.reward;
agent._currentState = result.agentsVector.Find(x => x.Key.Id == agent.Id).Value.stateAfter;
}
}
return(true);
}
private void probsRecursion(List <Agent> agentsList, List <KeyValuePair <Agent, TransferPair> > agentsPRList)
{
if (agentsList.Count == 0)
{
return;
}
if (agentsList.Count == 1) //Last agent in list
{
foreach (AgentState lastAgentState in agentsList.FirstOrDefault().statesList)
{
foreach (AgentAction lastAgnetAction in agentsList.FirstOrDefault().actionsList)
{
foreach (AgentState lastAgentNextState in agentsList.FirstOrDefault().statesList)
{
var rewardsBeforeAgents = new List <KeyValuePair <Agent, TransferPair> >();
foreach (var kp in agentsPRList)
{
rewardsBeforeAgents.Add(kp);
}
var currentRew = agentsList.FirstOrDefault().probList.FindAll(x => x.action.action.Equals(lastAgnetAction.action))
.Find(y => y.nextState.state.Equals(lastAgentNextState.state));
var lstKeyValuePair = new KeyValuePair <Agent, TransferPair>(agentsList.FirstOrDefault(),
new TransferPair(lastAgentState, lastAgnetAction, lastAgentNextState, currentRew.probability));
rewardsBeforeAgents.Add(lstKeyValuePair);
int nextindex = _probs.Count + 1;
double total = 0;
foreach (var ws in rewardsBeforeAgents)
{
if (ws.Equals(rewardsBeforeAgents.FirstOrDefault()))
{
total = ws.Value.prob;
}
else
{
total *= ws.Value.prob;
}
}
Probs probs = new Probs("ProBS" + nextindex, total, rewardsBeforeAgents);
_probs.Add(probs);
}
}
}
}
else
{
var currentAgent = agentsList.FirstOrDefault();
bool secondIteration = false;
foreach (var currentState in currentAgent.statesList)
{
foreach (var currentAction in currentAgent.actionsList)
{
foreach (var nextState in currentAgent.statesList)
{
if (secondIteration)
{
var last = agentsPRList.LastOrDefault();
agentsPRList.Remove(last);
}
var currentRew = currentAgent.probList.FindAll(x => x.action.action.Equals(currentAction.action))
.Find(y => y.nextState.state.Equals(nextState.state));
var lstKeyValuePair = new KeyValuePair <Agent, TransferPair>(agentsList.FirstOrDefault(),
new TransferPair(currentState, currentAction, nextState, currentRew.probability));
agentsPRList.Add(lstKeyValuePair);
agentsList.Remove(currentAgent);
probsRecursion(agentsList, agentsPRList);
secondIteration = true;
}
}
}
}
}
