source: src/main/java/agents/UncertaintyAgentExample.java

package agents;

import java.util.List;

import genius.core.Bid;
import genius.core.actions.Accept;
import genius.core.actions.Action;
import genius.core.actions.Offer;
import genius.core.issue.IssueDiscrete;
import genius.core.issue.ValueDiscrete;
import genius.core.parties.AbstractNegotiationParty;
import genius.core.uncertainty.AdditiveUtilitySpaceFactory;
import genius.core.utility.AbstractUtilitySpace;

@SuppressWarnings("serial")
public class UncertaintyAgentExample extends AbstractNegotiationParty 
{

        @Override
        public Action chooseAction(List<Class<? extends Action>> possibleActions) 
        {
                
                // Sample code that accepts offers that appear in the top 10% of offers in the user model
                if (getLastReceivedAction() instanceof Offer && hasPreferenceUncertainty()) 
                {
                        Bid receivedBid = ((Offer) getLastReceivedAction()).getBid();
                        List<Bid> bidOrder = userModel.getBidRanking().getBidOrder();
                        
                        System.out.println("Bid order: " + bidOrder);
                        System.out.println("Low: " + userModel.getBidRanking().getLowUtility());
                        System.out.println("High: " + userModel.getBidRanking().getHighUtility());
                        
                        System.out.println("Received bid (which I will elicit against cost " + user.getElicitationCost() + "): " + receivedBid);
                        user.elicitRank(receivedBid, userModel);
                        System.out.println("Bother is now: " + user.getTotalBother());
                        
                        System.out.println("Updated bid order: " + bidOrder);
                        System.out.println("Updated low: " + userModel.getBidRanking().getLowUtility());
                        System.out.println("Updated high: " + userModel.getBidRanking().getHighUtility());
                        
                        // If the rank of the received bid is known
                        if (bidOrder.contains(receivedBid))             
                        {
                                double percentile = (bidOrder.size() - bidOrder.indexOf(receivedBid)) / (double) bidOrder.size();
                                if (percentile < 0.1)
                                        return new Accept(getPartyId(), receivedBid);
                        }
                        // If it is not, then elicit the new user model augmented with the received bid
                        // provided the Total user bother doesn't exceed 0.1
                        else if(user.getTotalBother()<0.1)
                        {
                                userModel = user.elicitRank(receivedBid,userModel);
                                double percentile = (bidOrder.size() - bidOrder.indexOf(receivedBid)) / (double) bidOrder.size();
                                if (percentile < 0.1)
                                        return new Accept(getPartyId(), receivedBid);
                        }
                }
                // Otherwise just offer a Random bid
                return new Offer(getPartyId(), generateRandomBid());
        }
        
        /**
         * Specific functionality, such as the estimate of the utility space in the
         * face of preference uncertainty, can be specified by overriding the
         * default behavior.
         * 
         * This example estimator sets all weights uniformly
         */
        @Override
        public AbstractUtilitySpace estimateUtilitySpace() 
        {
                AdditiveUtilitySpaceFactory additiveUtilitySpaceFactory = new AdditiveUtilitySpaceFactory(getDomain());
                List<IssueDiscrete> issues = additiveUtilitySpaceFactory.getIssues();
                for (IssueDiscrete i : issues)
                {
                        additiveUtilitySpaceFactory.setWeight(i, 1.0 / issues.size());
                        for (ValueDiscrete v : i.getValues())
                        {
                                int valueScore = 0;
                                for (Bid b : userModel.getBidRanking().getBidOrder())
                                        if (b.containsValue(i, v))
                                                valueScore ++;
                                additiveUtilitySpaceFactory.setUtility(i, v, valueScore);
                        }
                }
                
                // Normalize the attribute functions, since we gave them integer scores
                additiveUtilitySpaceFactory.scaleAllValuesFrom0To1();
                                
                // Normalizing the weights might be needed if the above code is changed; uncomment when needed.
                // additiveUtilitySpaceFactory.normalizeWeights();
                
                // The factory is done with setting all parameters, now return the estimated utility space
                return additiveUtilitySpaceFactory.getUtilitySpace();
        }
        

        @Override
        public String getDescription() 
        {
                return "Example agent that can deal with uncertain preferences";
        }
        
        public String getName(){
                return "Uncertain.Agent";
        }
        
}