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package io.github.agentsoz.conservation.jill.plans;
/*
* #%L
* BDI-ABM Integration Package
* %%
* Copyright (C) 2014 - 2015 by its authors. See AUTHORS file.
* %%
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as
* published by the Free Software Foundation, either version 3 of the
* License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Lesser Public License for more details.
*
* You should have received a copy of the GNU General Lesser Public
* License along with this program. If not, see
* .
* #L%
*/
import io.github.agentsoz.conservation.ConservationUtils;
import io.github.agentsoz.conservation.Log;
import io.github.agentsoz.conservation.LandholderHistory.BidResult;
import io.github.agentsoz.conservation.jill.agents.Landholder;
import io.github.agentsoz.conservation.jill.goals.UpdateProfitMotivationGoal;
import io.github.agentsoz.jill.lang.Agent;
import io.github.agentsoz.jill.lang.Goal;
import io.github.agentsoz.jill.lang.Plan;
import io.github.agentsoz.jill.lang.PlanStep;
import java.util.ArrayList;
import java.util.Collections;
import java.util.HashMap;
/**
* After receiving the results of the auction, every land holder updates his
* profit motive barometer. This plan is used by all land holders who have high
* profit motivation.
*
* In this plan, it is not considered whether the land holder has participated
* or successful in the auction. Instead, he updates his profit motive barometer
* proportional to the highest profit obtained by any winner. The factor
* ConservationUtils.increaseFactorForPWhenHighP is used to increase land
* holder's profit motive barometer.
*
* @author Sewwandi Perera
*/
public class HighP extends Plan {
Landholder landholder;
UpdateProfitMotivationGoal updateProfitMotivationGoal;
public HighP(Agent agent, Goal goal, String name) {
super(agent, goal, name);
landholder = (Landholder) getAgent();
updateProfitMotivationGoal = (UpdateProfitMotivationGoal) getGoal();
body = steps;
}
@Override
public boolean context() {
return landholder.isProfitMotivationHigh();
}
@Override
public void setPlanVariables(HashMap vars) {
}
PlanStep[] steps = { new PlanStep() {
public void step() {
ArrayList winningBids = updateProfitMotivationGoal
.getMyResults().getWinnersInfo();
// used only for logging
ArrayList profits = new ArrayList();
if (null != winningBids) {
double highestProfit = 0;
double winningPrice = 0;
for (int i = 0; i < winningBids.size(); i++) {
BidResult bid = (BidResult) winningBids.get(i);
winningPrice = bid.getBidPrice();
if (winningPrice > 0) { // If somebody has won the package
double tempProfit = (winningPrice - bid
.getOpportunityCost())
/ bid.getOpportunityCost();
profits.add(tempProfit);
if (highestProfit < tempProfit) {
highestProfit = tempProfit;
}
}
}
Collections.sort(profits);
Log.debug("Agent " + landholder.getName()
+ "- highest profit which changes agents C is "
+ highestProfit + ", all profits:" + profits);
// agent’s P = P * (1 + |profit| * agentAttributeModifier);
double currentP = landholder.getProfitMotiveBarometer();
double newP = currentP
* (1 + Math.abs(highestProfit)
* ConservationUtils
.getProfitMotivationModifier());
// Finally, update land holder's P and recalculate whether his P
// is high or low.
newP = landholder.setProfitMotiveBarometer(newP);
landholder.setProfitMotivationHigh(landholder
.isProfitMotivationHigh(newP));
String newStatus = (landholder.isProfitMotivationHigh()) ? "high"
: "low";
Log.debug("Agent " + landholder.getName()
+ " updated his P from " + currentP + " to :" + newP
+ ", which is " + newStatus);
}
}
} };
}
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