Esempio n. 1
0
  @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;
   }
 }
Esempio n. 3
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  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;
 }
Esempio n. 5
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  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;
   }
 }
Esempio n. 7
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  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--;
    }
  }
Esempio n. 12
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 public Context<Object> getContext() {
   context = ContextUtils.getContext(this);
   return context;
 }
Esempio n. 13
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 public Grid<Object> getGrid() {
   grid = (Grid) ContextUtils.getContext(this).getProjection("grid");
   return grid;
 }