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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.jill.agents.Landholder;
import io.github.agentsoz.conservation.jill.goals.UpdateConservationEthicGoal;
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.HashMap;
/**
* Landholder's C is SLIGHTLY decreased proportional to the profit obtained by
* the winner.
*
* In some situations, land holder has made multiple bids and he has been
* unsuccessful in all of them. Some of they may have won by other land holders,
* and some of them may have not won by any. It was assumed that, if no one has
* won, there is no effect to the land holder's Conservation Ethic. So, the
* unsuccessful bid, which has given the highest profit to the winner is used
* for the calculation.
*
* Land holder's C is decreased proportional to the profit the winner has
* obtained and using the factor
* ConservationUtils.decreaseFactorForCWhenUnsuccessAndLowC.
*
* @author Sewwandi Perera
*/
public class UnsuccessfulLowC extends Plan {
Landholder landholder;
UpdateConservationEthicGoal updateConservationEthicGoal;
public UnsuccessfulLowC(Agent agent, Goal goal, String name) {
super(agent, goal, name);
landholder = (Landholder) getAgent();
updateConservationEthicGoal = (UpdateConservationEthicGoal) getGoal();
body = steps;
}
@Override
public boolean context() {
return !(landholder.getCurrentAuctionRound().isWon())
&& !landholder.isConservationEthicHigh()
&& landholder.getCurrentAuctionRound().isParticipated();
}
@Override
public void setPlanVariables(HashMap vars) {
}
PlanStep[] steps = { new PlanStep() {
public void step() {
double currentC = landholder.getConservationEthicBarometer();
double newC = currentC
- ConservationUtils.getStaticConservationEthicModifier();
// Finally, update land holder's C and recalculate whether his C is
// high or low.
newC = landholder.setConservationEthicBarometer(newC);
landholder.setConservationEthicHigh(landholder
.isConservationEthicHigh(newC));
String newStatus = (landholder.isConservationEthicHigh()) ? "high"
: "low";
Log.debug("Agent " + landholder.getName() + " updated his C from "
+ currentC + " to :" + newC + ", which is " + newStatus);
}
} };
}
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