package agents.anac.y2010.Yushu; import java.util.HashMap; import java.util.List; import java.util.Random; import genius.core.Agent; import genius.core.Bid; import genius.core.actions.Accept; import genius.core.actions.Action; import genius.core.actions.Offer; import genius.core.issue.Issue; import genius.core.issue.IssueDiscrete; import genius.core.issue.IssueInteger; import genius.core.issue.IssueReal; import genius.core.issue.Value; import genius.core.issue.ValueInteger; import genius.core.issue.ValueReal; import genius.core.utility.AdditiveUtilitySpace; public class Utility { static double MINIMUM_BID_UTILITY = 0.95; /** * Wrapper for getRandomBid, for convenience. * * @param lastOppBid * the last opponent bid that was received. * @return new Action(Bid(..)), with bid utility > MINIMUM_BID_UTIL. If a * problem occurs, it returns an Accept() action. */ public static Action chooseRandomBidAction(Agent agent, Bid lastOppBid) { Bid nextBid = null; try { nextBid = Utility .getRandomBid((AdditiveUtilitySpace) agent.utilitySpace); } catch (Exception e) { e.printStackTrace(); } if (nextBid == null) return (new Accept(agent.getAgentID(), lastOppBid)); return (new Offer(agent.getAgentID(), nextBid)); } /** * @return a random bid with high enough utility value. * @throws Exception * if we can't compute the utility (eg no evaluators have been * set) or when other evaluators than a DiscreteEvaluator are * present in the util space. */ public static Bid getRandomBid(AdditiveUtilitySpace utilityspace) throws Exception { HashMap values = new HashMap(); // pairs // List issues = utilityspace.getDomain().getIssues(); Random randomnr = new Random(); // createFrom a random bid with utility>MINIMUM_BID_UTIL. // note that this may never succeed if you set MINIMUM too high!!! // in that case we will search for a bid till the time is up (2 minutes) // but this is just a simple agent. Bid bid = null; do { for (Issue lIssue : issues) { switch (lIssue.getType()) { case DISCRETE: IssueDiscrete lIssueDiscrete = (IssueDiscrete) lIssue; int optionIndex = randomnr.nextInt(lIssueDiscrete .getNumberOfValues()); values.put(lIssue.getNumber(), lIssueDiscrete.getValue(optionIndex)); break; case REAL: IssueReal lIssueReal = (IssueReal) lIssue; int optionInd = randomnr.nextInt(lIssueReal .getNumberOfDiscretizationSteps() - 1); values.put( lIssueReal.getNumber(), new ValueReal(lIssueReal.getLowerBound() + (lIssueReal.getUpperBound() - lIssueReal .getLowerBound()) * (double) (optionInd) / (double) (lIssueReal .getNumberOfDiscretizationSteps()))); break; case INTEGER: IssueInteger lIssueInteger = (IssueInteger) lIssue; int optionIndex2 = lIssueInteger.getLowerBound() + randomnr.nextInt(lIssueInteger.getUpperBound() - lIssueInteger.getLowerBound()); values.put(lIssueInteger.getNumber(), new ValueInteger( optionIndex2)); break; default: throw new Exception("issue type " + lIssue.getType() + " not supported by SimpleAgent2"); } } bid = new Bid(utilityspace.getDomain(), values); } while (utilityspace.getUtility(bid) < MINIMUM_BID_UTILITY); return bid; } /** * This function determines the accept probability for an offer. At t=0 it * will prefer high-utility offers. As t gets closer to 1, it will accept * lower utility offers with increasing probability. it will never accept * offers with utility 0. * * @param u * is the utility * @param t * is the time as fraction of the total available time (t=0 at * start, and t=1 at end time) * @return the probability of an accept at time t * @throws Exception * if you use wrong values for u or t. * */ public static double Paccept(double u, double t1) throws Exception { double t = t1 * t1 * t1; // steeper increase when deadline approaches. if (u < 0 || u > 1.05) throw new Exception("utility " + u + " outside [0,1]"); // normalization may be slightly off, therefore we have a broad boundary // up to 1.05 if (t < 0 || t > 1) throw new Exception("time " + t + " outside [0,1]"); if (u > 1.) u = 1; if (t == 0.5) return u; return (u - 2. * u * t + 2. * (-1. + t + Math.sqrt(sq(-1. + t) + u * (-1. + 2 * t)))) / (-1. + 2 * t); } public static double sq(double x) { return x * x; } }