@ScheduledMethod(start = 1, interval = 100)
public void step() {
// generating some numerical output
sanctionsPerSoldier = 1.0 * sanctionCount / soldiers.size();
proportionOfNotPermittedExtiorsions = 1.0 * notPermittedExtorsionCount / extorsionCount;
periodicIncomePerSoldier = cummulatedIncome / soldiers.size();
cummulatedIncome = 0;
extorsionCount = 0;
sanctionCount = 0;
notPermittedExtorsionCount = 0;
punishmentCount = punishedNumber;
punishedNumber = 0;
// learning --> preliminary!
if (period > 0) {
if (periodicIncomePerSoldier < incomeLowThreshold) {
sanctionProbability *= probMultiplicatorIncomeLow;
} else if (periodicIncomePerSoldier > incomeHighThreshold) {
sanctionProbability *= probMultiplicatorIncomeHigh;
}
sanctionProbability = sanctionProbability > 1.0 ? 1.0 : sanctionProbability;
}
period++;
// delete network
Context<Object> context = ContextUtils.getContext(this);
Network<Object> net = (Network<Object>) context.getProjection("network");
net.removeEdges();
}
public double getClusteringCoefficientOfUser() {
if (this.hashCode() % NonAggrSamplingQueficient
== 9) { // only calculate clustering coefficient for 1/20 of the agents
Context<Object> context = ContextUtils.getContext(this);
ContextJungNetwork jungNet = (ContextJungNetwork) context.getProjection("user_network");
Map<Object, Double> clusterCoeffMap =
repast.simphony.jung.statistics.RepastJungGraphStatistics.clusteringCoefficients(
jungNet.getGraph());
return clusterCoeffMap.get(this);
} else {
return exclusionNumber;
}
}
public GridPoint getQueueLocation(String name, Grid grid) {
GridPoint queueLoc = null;
QueueSim queueR = null;
context = ContextUtils.getContext(this);
for (Object o : context.getObjects(QueueSim.class)) {
queueR = (QueueSim) o;
if (queueR.getName() == name) {
queueLoc = grid.getLocation(o);
// System.out.println("**** "+ queueR.getId()+ " "
// + queueLoc);
break;
}
}
return queueLoc;
}
public double getUserNeighbourAverageEdgeCount() {
int tempInt = 0;
double sumOfNeigbourDegrees = 0.0;
Context<Object> context = ContextUtils.getContext(this);
Network<Object> colNet = (Network<Object>) context.getProjection("user_network");
for (Object neighbourObject : colNet.getSuccessors(this)) {
if (neighbourObject instanceof User) {
sumOfNeigbourDegrees += colNet.getDegree(neighbourObject);
tempInt++;
}
}
double averageNeighbourDegree = 0.0;
if (tempInt != 0) {
averageNeighbourDegree = sumOfNeigbourDegrees / tempInt;
}
return averageNeighbourDegree;
}
public void giveExtorsionMoney(double amount, Soldiers soldier, Shop shop, Color territory) {
// store money
// distribute money
// 50 persent for capos, then rest for solidiers
System.out.println(
"capo #"
+ this.getIndex()
+ "cummulatedIncome = "
+ cummulatedIncome
+ "extorsionCount = "
+ extorsionCount);
extorsionCount++;
cummulatedIncome += amount * 0.5;
soldier.setMoney(soldier.getMoney() + amount * 0.5);
System.out.println("capo #" + index + " has now: $" + cummulatedIncome);
// draw edges between Capo and by own soldiers extorted shops
Context<Object> context = ContextUtils.getContext(this);
Network<Object> net = (Network<Object>) context.getProjection("network");
net.addEdge(this, shop);
// sanction if money from shop from other territory
if (!territory.equals(familyColor)) {
// decision process --> preliminary! --- TODO: could be implemented
// with EMIL-S
notPermittedExtorsionCount++;
double rnd = RandomHelper.nextDoubleFromTo(0.0, 1.0);
if (rnd <= sanctionProbability) {
soldier.sanction(shop, territory);
sanctionCount++;
}
}
// notify the mandamento
if (this != mandamento.getCapo()) {
mandamento.onExtortMoney(index, cummulatedIncome);
}
}
public double getPathlengthOfUser() {
if (this.hashCode() % NonAggrSamplingQueficient
== 9) { // only calculate clustering coefficient for 1/20 of the agents
List<User> userList = new ArrayList<User>();
Context<Object> context = ContextUtils.getContext(this);
Network<Object> colNet = (Network<Object>) context.getProjection("user_network");
ContextJungNetwork jungNet = (ContextJungNetwork) context.getProjection("user_network");
for (Object tempNode : colNet.getNodes()) {
if (tempNode instanceof User) {
userList.add((User) tempNode);
}
}
dijkDistAlg = new DijkstraDistance<User, RepastEdge<Object>>(jungNet.getGraph());
Number dist = dijkDistAlg.getDistance(this, userList.get(randGen.nextInt(userList.size())));
if (dist != null) {
return dist.doubleValue();
} else {
return exclusionNumber;
}
} else {
return exclusionNumber;
}
}
public void infect() {
GridPoint pt = grid.getLocation(this);
List<Object> humans = new ArrayList<Object>();
for (Object obj : grid.getObjectsAt(pt.getX(), pt.getY())) {
if (obj instanceof Human) {
humans.add(obj);
}
}
if (humans.size() > 0) {
int index = RandomHelper.nextIntFromTo(0, humans.size() - 1);
Object obj = humans.get(index);
NdPoint spacePt = space.getLocation(obj);
Context<Object> context = ContextUtils.getContext(obj);
context.remove(obj);
Zombie zombie = new Zombie(space, grid);
context.add(zombie);
space.moveTo(zombie, spacePt.getX(), spacePt.getY());
grid.moveTo(zombie, pt.getX(), pt.getY());
Network<Object> net = (Network<Object>) context.getProjection("infection network");
net.addEdge(this, zombie);
}
}
@ScheduledMethod(start = 1, interval = 1)
public void step() {
// create colNetwork in hosting context
Context<Object> context = ContextUtils.getContext(this);
Network<Object> colNet = (Network<Object>) context.getProjection("collaboration_network");
Network<Object> userNet = (Network<Object>) context.getProjection("user_network");
Network<Object> articleNet = (Network<Object>) context.getProjection("article_network");
if (!isDone) {
/*
* Neighbourhood Connection Algorithm
*/
// get the grid location of this User
GridPoint pt = grid.getLocation(this);
// use the GridCellNgh class to create GridCells for
// the surrounding neighbourhood
if (pt != null) { // TODO Why NULL?
GridCellNgh<Article> nghCreator =
new GridCellNgh<Article>(
grid, pt, Article.class, neighbourDimensions, neighbourDimensions);
List<GridCell<Article>> gridCells = nghCreator.getNeighborhood(false);
SimUtilities.shuffle(gridCells, RandomHelper.getUniform());
// if an agent exist in the surrounding environment, add an edge with it.
for (GridCell<Article> cell : gridCells) {
if (cell.size() > 0) {
List<Article> cellUsers = new ArrayList<Article>((Collection<Article>) cell.items());
articleToEdit = cellUsers.get((RandomHelper.nextIntFromTo(0, cellUsers.size() - 1)));
if (context != null && colNet != null && cellUsers != null && articleToEdit != null) {
if (!isActiveUser) { // Good Samaritan - one and only one connection
if (colNet.getDegree(articleToEdit) <= 0 // if neighbour is unconnected
&& colNet.getDegree(this) <= 0) { // if our agent is unconnected)
colNet.addEdge(this, articleToEdit);
this.isDone =
true; // this good samaritan is no longer counted in operating agents
}
} else if (!hasGeneralInterest) { // Project Leader zealot (active user),
colNet.addEdge(this, articleToEdit); // connects neighbours in every step
for (Object coopUser : colNet.getAdjacent(articleToEdit)) {
if (coopUser != null && !userNet.containsEdge(userNet.getEdge(this, coopUser))) {
userNet.addEdge(this, coopUser);
}
}
for (Object relatedArticle : colNet.getAdjacent(this)) {
if (relatedArticle != null
&& !articleNet.containsEdge(userNet.getEdge(articleToEdit, relatedArticle))) {
articleNet.addEdge(articleToEdit, relatedArticle);
}
}
}
// For active agent connection algorithm we need to update good article array if found
if (colNet.getDegree(articleToEdit)
> (goodArticleMultiplier * colNet.getDegree() / colNet.size())
&& colNet.getDegree(articleToEdit) > goodArticleConnectionCount
&& !articleToEdit.isGood) {
articleToEdit.isGood = true;
goodArticles.add(articleToEdit);
}
}
break;
}
}
}
/*
* Active Agent Connection Algorithm
*/
if (isActiveUser
&& hasGeneralInterest
&& goodArticles.size() > 0) { // if in administrator career path
articleToEdit = goodArticles.get(RandomHelper.nextIntFromTo(0, goodArticles.size() - 1));
colNet.addEdge(this, articleToEdit); // TODO reduce goodArticles by one?
for (Object coopUser : colNet.getAdjacent(articleToEdit)) {
if (coopUser != null && !userNet.containsEdge(userNet.getEdge(this, coopUser))) {
userNet.addEdge(this, coopUser);
}
}
for (Object relatedArticle : colNet.getAdjacent(this)) {
if (relatedArticle != null
&& !articleNet.containsEdge(userNet.getEdge(articleToEdit, relatedArticle))) {
articleNet.addEdge(articleToEdit, relatedArticle);
}
}
goodArticles.remove(0);
}
this.endRun();
}
}
public int getUserEdgeCount() {
Context<Object> context = ContextUtils.getContext(this);
Network<Object> colNet = (Network<Object>) context.getProjection("user_network");
return colNet.getDegree(this);
}
public int getAffiliationEdgeCountOfUser() {
Context<Object> context = ContextUtils.getContext(this);
Network<Object> colNet = (Network<Object>) context.getProjection("collaboration_network");
return colNet.getDegree(this);
}
/**
* Rain clouds appear with a certain chance, influenced by the weather For every rain cloud in the
* grid the velocity of every rain object is updated Rain clouds are removed if they have passed a
* certain time
*/
@ScheduledMethod(start = 1, interval = 1, priority = 0)
public void rain() {
// Let new raingroups appear with a certain chance
double chance = SimulationParameters.rainProb;
// The probability of rain appearing decreases if there is already rain in the grid
if (noRainGroups == 1) chance = (chance / (noRainGroups)) * 0.5;
if (noRainGroups == 2) chance = (chance / (noRainGroups)) * 0.1;
if (noRainGroups > 2) chance = (chance / (noRainGroups)) * 0.01;
double f = urng.nextDouble();
if (f < chance) {
// Let rain appear
int x = rand.nextInt((SimulationParameters.gridSize - 0) + 1);
int y = rand.nextInt((SimulationParameters.gridSize - 0) + 1);
int[] newLoc = {x, y};
// Let new raingroup appear in random location
RainGroup rg = new RainGroup(ContextUtils.getContext(this), grid, newLoc);
noRainGroups++;
rainGroups.add(rg);
}
ArrayList<RainGroup> toRemove = new ArrayList<RainGroup>();
for (RainGroup rg : rainGroups) {
// Get velocity vector of the rain
float x = Wind.getWindVelocity().x;
float y = Wind.getWindVelocity().y;
Vector2 velRain = new Vector2(x, y);
velRain.setLength(
Wind.getWindVelocity().len() * 0.9f); // Rain speed is a bit lower than that of the wind
List<Rain> toRemove1 = new ArrayList<Rain>();
// Let rain be carried by the wind
if (urng.nextDouble() < velRain.len()) {
for (Rain rain : rg.getRainObjects()) {
Directions dir = Directions.fromVectorToDir(velRain);
GridPoint pt = grid.getLocation(rain);
int cX = pt.getX() + dir.xDiff;
int cY = pt.getY() + dir.yDiff;
// If new rain-location is out of borders, delete this rain object
// In this way the cloud "travels" out of the grid
if (cX < 0
|| cX >= SimulationParameters.gridSize
|| cY < 0
|| cY >= SimulationParameters.gridSize) {
toRemove1.add(rain);
} else grid.moveTo(rain, cX, cY);
}
}
for (Rain r : toRemove1) {
rg.removeRain(r);
TreeBuilder.performance.decreaseRainCount();
}
}
// Remove the raingroups from our list which were removed from the context
for (RainGroup rg : toRemove) {
rainGroups.remove(rg);
noRainGroups--;
}
}
public Context<Object> getContext() {
context = ContextUtils.getContext(this);
return context;
}
public Grid<Object> getGrid() {
grid = (Grid) ContextUtils.getContext(this).getProjection("grid");
return grid;
}