io.github.agentsoz.conservation.jill.plans.DecideBidsWhenHighCLowPPlan Maven / Gradle / Ivy

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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.Bid;
import io.github.agentsoz.conservation.ConservationUtils;
import io.github.agentsoz.conservation.Global;
import io.github.agentsoz.conservation.Log;
import io.github.agentsoz.conservation.Package;
import io.github.agentsoz.conservation.jill.agents.Landholder;
import io.github.agentsoz.conservation.jill.goals.DecideBidsGoal;
import io.github.agentsoz.conservation.outputwriters.AgentsProgressWriter;
import io.github.agentsoz.conservation.outputwriters.BidsWriter;
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.PlanInfo;
import io.github.agentsoz.jill.lang.PlanStep;

import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashMap;

import io.github.agentsoz.abmjill.genact.EnvironmentAction;

/**
 * This plan is executed for the agents who have High C and Low P. This plan
 * selects maximum (defaultMaxNumberOfBids + bidAddon) number of bids and makes
 * sure that profit is always in between lowProfitPercentageRange.
 * 
 * @author Sewwandi Perera
 */
@PlanInfo(postsGoals = { "io.github.agentsoz.abmjill.genact.EnvironmentAction" })
public class DecideBidsWhenHighCLowPPlan extends Plan {
	Landholder landholder;
	DecideBidsGoal decideBidsGoal;

	public DecideBidsWhenHighCLowPPlan(Agent agent, Goal goal, String name) {
		super(agent, goal, name);
		landholder = (Landholder) getAgent();
		decideBidsGoal = (DecideBidsGoal) getGoal();
		body = steps;
	}

	@Override
	public boolean context() {
		return ((Landholder) getAgent()).isConservationEthicHigh()
				&& !((Landholder) getAgent()).isProfitMotivationHigh();
	}

	@Override
	public void setPlanVariables(HashMap vars) {

	}

	PlanStep[] steps = { new PlanStep() {
		public void step() {
			/*
			 * This plan selects maximum (defaultMaxNumberOfBids + bidAddon)
			 * number of bids and makes sure that profit is always in between
			 * lowProfitPercentageRange
			 */
			Package[] packages = decideBidsGoal.getPackages();
			ArrayList selectedBids = new ArrayList();

			/*
			 * Below array is used to track the selected packages to avoid
			 * selecting the same package twice.
			 */
			boolean[] status = new boolean[packages.length];
			Arrays.fill(status, Boolean.FALSE);

			int numberOfVisitedPackages = 0;

			int bidCount = ConservationUtils.getDefaultMaxNumberOfBids()
					+ ConservationUtils.getBidAddon();

			/*
			 * iterates until either bidCount number of bids are selected or the
			 * system iterates through all the packages
			 */
			while (bidCount-- != 0 && numberOfVisitedPackages < packages.length) {

				int randomIndex = ConservationUtils.getGlobalRandom().nextInt(
						packages.length);

				if (status[randomIndex]) /* if the package is already selected */{
					// ignore the package
					bidCount++;
					continue;
				} else {
					numberOfVisitedPackages++;
					status[randomIndex] = true;

					/*
					 * decide a profit percentage within the
					 * lowProfitPercentageRange
					 */
					double[] lowProfitPercentageRange = ConservationUtils
							.getLowProfitPercentageRange();
					double profitPercentage = lowProfitPercentageRange[0]
							+ (lowProfitPercentageRange[1] - lowProfitPercentageRange[0])
							* ConservationUtils.getGlobalRandom().nextDouble();

					Log.debug("Agent " + landholder.getName()
							+ ":Low profit percentage range:["
							+ lowProfitPercentageRange[0] + ","
							+ lowProfitPercentageRange[1]
							+ "], profitPercentage:" + profitPercentage);

					double bidPrice = packages[randomIndex].opportunityCost
							* (1 + profitPercentage / 100);

					Bid bid = new Bid(packages[randomIndex].id, bidPrice);
					selectedBids.add(bid);
					Log.debug("Agent " + landholder.getName() + "(id:"
							+ landholder.getId() + ") made a bid " + bid
							+ ",opportunity cost:"
							+ packages[randomIndex].opportunityCost
							+ ",profit percentage" + profitPercentage);
				}
			}

			Log.debug("Agent " + landholder.getName() + "(id:"
					+ landholder.getId() + ") made " + selectedBids.size()
					+ " bids.");
			// Update agent's progress info
			AgentsProgressWriter.getInstance().addAgentsInfo(
					landholder.getName(), "B");

			// write bids to the output file
			BidsWriter.getInstance().writeBids(landholder.getName(),
					selectedBids);

			// post the bids and wait for a response
			post(new EnvironmentAction(Integer.toString(landholder.getId()),
					Global.actions.BID.toString(),
					(Object[]) selectedBids.toArray()));

			// Evaluate the response
			Log.debug("Agent " + landholder.getName() + " finished action BID.");
		}
	} };

}