source: ai2020/group6/MAPowerWeightedExponential.java@ 4

package ai2020.group6;

import java.math.BigDecimal;

import geniusweb.actions.Vote;
import geniusweb.inform.Settings;
import geniusweb.issuevalue.Bid;

/**
 * MAPowerWeightedExponential behaves like the MAExponential agent when it
 * comes to the acceptance and bidding strategies.
 * 
 * During the OptIn phase, this agent scales the utility of a bid with
 * 1+v^(ve * (1-t)^e)) such that the utility of a bid increases the more
 * support (v) it has. "ve" and "e" and parameters defaulting to 1.
 * 
 * @author Group 6
 */
public class MAPowerWeightedExponential extends MADefaultParty {
        
        @Override
        protected IAcceptanceStrategy getAccceptanceStrategy ( Settings settings ) {
                Object val = settings.getParameters().get("minPower");
                Integer minpower = (val instanceof Integer) ? (Integer) val : 2;
                val = settings.getParameters().get("maxPower");
                Integer maxpower = (val instanceof Integer) ? (Integer) val : Integer.MAX_VALUE;
                val = settings.getParameters().get("upperThreshold");
                Double upperThreshold = (val instanceof Double) ? (Double) val : 1.0;
                val = settings.getParameters().get("lowerThreshold");
                Double lowerThreshold = (val instanceof Double) ? (Double) val : 0.0;
                val = settings.getParameters().get("e");
                Double e = (val instanceof Double) ? (Double) val : 1.0;
                return new UtilityBasedAcceptanceStrategy(minpower, maxpower) {
                        @Override
                        public BigDecimal getUtilityThreshold ( MAState state ) {
                                Double t = state.getProgressTime().doubleValue();
                                Double scale = Math.pow(1-t, e);
                                return BigDecimal.valueOf(lowerThreshold + scale * (upperThreshold - lowerThreshold));
                        }
                };
        }

        @Override
        protected IBiddingStrategy getBiddingStrategy ( Settings settings ) {
                Object val = settings.getParameters().get("minPower");
                Integer minpower = (val instanceof Integer) ? (Integer) val : 2;
                val = settings.getParameters().get("maxPower");
                Integer maxpower = (val instanceof Integer) ? (Integer) val : Integer.MAX_VALUE;
                val = settings.getParameters().get("upperThreshold");
                Double upperThreshold = (val instanceof Double) ? (Double) val : 1.0;
                val = settings.getParameters().get("lowerThreshold");
                Double lowerThreshold = (val instanceof Double) ? (Double) val : 0.0;
                val = settings.getParameters().get("e");
                Double e = (val instanceof Double) ? (Double) val : 1.0;
                return new UtilityBasedBiddingStrategy(minpower, maxpower) {
                        @Override
                        public BigDecimal getUpperUtilityThreshold ( MAState state ) {
                                return BigDecimal.valueOf(upperThreshold);
                        }
                        @Override
                        public BigDecimal getLowerUtilityThreshold ( MAState state ) {
                                Double t = state.getProgressTime().doubleValue();
                                Double scale = Math.pow(1-t, e);
                                return BigDecimal.valueOf(lowerThreshold + scale * (upperThreshold - lowerThreshold));
                        }
                };
        }
        
        @Override
        protected IOptInStrategy getOptInStrategy ( Settings settings ) {
                Object val = settings.getParameters().get("minPower");
                Integer minvotepower = (val instanceof Integer) ? (Integer) val : 2;
                val = settings.getParameters().get("maxPower");
                Integer maxpower = (val instanceof Integer) ? (Integer) val : Integer.MAX_VALUE;
                val = settings.getParameters().get("lowerThreshold");
                Double lowerThreshold = (val instanceof Double) ? (Double) val : 0.7;
                val = settings.getParameters().get("e");
                Double e = (val instanceof Double) ? (Double) val : 1.0;
                val = settings.getParameters().get("ve");
                Double ve = (val instanceof Double) ? (Double) val : 1.0;
                return new PowerWeightedOptInStrategy() {

                        @Override
                        public Vote vote(MAState state, Bid bid, Integer power, Integer minpower) {
                                Double t = state.getProgressTime().doubleValue();
                                if (state.getUtilitySpace().getUtility(bid).doubleValue() * (1+Math.pow(power/(minpower*1.0), ve * Math.pow(1-t, e))) > lowerThreshold )
                                        return new Vote(state.getId(), bid, minvotepower, maxpower);
                                return null;
                        }
                        
                };
        }

        // @Override
        // protected IOpponentModel initNewOpponentModel ( Settings settings ) {
        //      return new EmptyOpponentModel();
        // }

}