source: src/main/java/agents/anac/y2018/condagent/OpponentModel.java@ 345

package agents.anac.y2018.condagent;

import genius.core.Bid;
import genius.core.BidIterator;
import genius.core.Domain;

public class OpponentModel
{
  public OpponentModel() {}
  
  private boolean isCrashed = false;
  protected Domain fDomain;
  public java.util.ArrayList<Bid> fBiddingHistory;
  
  public Domain getDomain() {
    return fDomain; }
  Double minUtility = null; Double maxUtility = null;
  public double getExpectedUtility(Bid pBid) throws Exception { return -1.0D; }
  
  public double getNormalizedUtility(Bid pBid) throws Exception {
    double u = getExpectedUtility(pBid);
    if ((minUtility == null) || (maxUtility == null)) findMinMaxUtility();
    double value = (u - minUtility.doubleValue()) / (maxUtility.doubleValue() - minUtility.doubleValue());
    if (Double.isNaN(value)) {
      if (!isCrashed) {
        isCrashed = true;
        System.err.println("Bayesian scalable encountered NaN and therefore crashed");
      }
      return 0.0D;
    }
    
    return (u - minUtility.doubleValue()) / (maxUtility.doubleValue() - minUtility.doubleValue()); }
  public void updateBeliefs(Bid pBid) throws Exception
  {}
  public double getExpectedWeight(int pIssueNumber) { return 0.0D; }
  
  public boolean haveSeenBefore(Bid pBid) { for (Bid tmpBid : fBiddingHistory) {
      if (pBid.equals(tmpBid)) return true;
    }
    return false;
  }
  
  protected void findMinMaxUtility() throws Exception {
    BidIterator biditer = new BidIterator(fDomain);
    minUtility = Double.valueOf(1.0D);maxUtility = Double.valueOf(0.0D);
    
    while (biditer.hasNext())
    {
      Bid b = biditer.next();
      double u = getExpectedUtility(b);
      
      if (minUtility.doubleValue() > u) minUtility = Double.valueOf(u);
      if (maxUtility.doubleValue() < u) maxUtility = Double.valueOf(u);
    }
  }
  
  public boolean isCrashed() {
    return isCrashed;
  }
}