source: ai2020/group6/MAMirroredExponential.java@ 3

package ai2020.group6;

import java.math.BigDecimal;

import geniusweb.inform.Settings;

/**
 * MAMirroredExponential accepts and generates bids above a threshold exponentially
 * decreasing as a function of time.
 * The threshold starts at the "upperThreshold" (defaulting to 1) and decreases
 * to the "lowerThreshold" (defaulting to 0) by scaling with 1-t^(1/e), where t is
 * the progress over time and e is the parameter "e" (defaulting to 1).
 * 
 * This is the default behaviour of the exampleparties provided by the geniusweb
 * framework;
 * Hardliner:          e = 0'
 * Boulware:           e = 0.2
 * Linear:             e = 1
 * TimeDependentParty: e = 1.2
 * Conceder:           e = 2
 * 
 * ' e = 0 would theoretically give the same result, but is not allowed for this agent,
 * as this would leave this agent with a static threshold of "upperThreshold" and
 * is therefore replaceable with the MAStatic agent.
 * 
 * @author Group 6
 */
public class MAMirroredExponential 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 = 1-Math.pow(t, 1/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 = 1-Math.pow(t, 1/e);
                                return BigDecimal.valueOf(lowerThreshold + scale * (upperThreshold - lowerThreshold));
                        }
                };
        }
        
        @Override
        protected IOptInStrategy getOptInStrategy ( Settings settings ) {
                return new NoOptInStrategy();
        }

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

}