edu.snu.leader.discrete.behavior.Initiate.java Source code

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/*
 * The Bio-inspired Leadership Toolkit is a set of tools used to simulate the
 * emergence of leaders in multi-agent systems. Copyright (C) 2014 Southern
 * Nazarene University This program is free software: you can redistribute it
 * and/or modify it under the terms of the GNU 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 Public License for more details. You should have received a copy of
 * the GNU General Public License along with this program. If not, see
 * <http://www.gnu.org/licenses/>.
 */

package edu.snu.leader.discrete.behavior;

import org.apache.commons.math3.geometry.euclidean.twod.Vector2D;

import edu.snu.leader.discrete.simulator.Agent;
import edu.snu.leader.discrete.simulator.Group;

/**
 * Initiate The initiation decision. Agents will begin moving towards their
 * preferred destination.
 * 
 * @author Tim Solum
 * @version $Revision$ ($Author$)
 */
public class Initiate extends Decision {

    public Initiate(Agent agent) {
        super(DecisionType.INITIATION, agent, agent);
    }

    @Override
    public void choose() {
        // set leader to self
        _agent.setLeader(_agent);
        // set group to a new group
        _agent.setGroup(new Group(_agent, _agent.getTime()));
        // set destination to preferred destination
        _agent.setCurrentDestination(_agent.getPreferredDestination().getVector());
        // set current velocity to that of going towards the preferred
        // destination
        if (!_agent.getCurrentDestination().subtract(_agent.getCurrentLocation()).equals(Vector2D.ZERO)) {
            // set velocity to the the destination vector - current location
            // vector, normalized and multiplied by speed
            _agent.setCurrentVelocity((_agent.getCurrentDestination().subtract(_agent.getCurrentLocation()))
                    .normalize().scalarMultiply(_agent.getSpeed()));
        }
    }
}