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The “EvacuationHumanAgent” class

The “EvacuationHumanAgent” class implements the high-level architecture for the evacuation human agent and encapsulates its main modules. To implement this class:

  1. The class “EvacuationHumanAgent” provide concrete implementations for the abstract methods responsible for creating the human agent’s interaction, knowledge, planning, and task modules in the evacuation.  The following code provides an implementation for the “EvacuationHumanAgent” class:
package edu.utdallas.mavs.evacuation.simulation.sim.agent;

import java.io.Serializable;

import com.jme3.math.FastMath;
import com.jme3.math.Vector3f;

import edu.utdallas.mavs.divas.core.sim.agent.AbstractAgent;
import edu.utdallas.mavs.divas.core.sim.agent.driver.keyboard.KeyboardAgentDriver;
import edu.utdallas.mavs.divas.core.sim.agent.driver.wiimote.WiimoteAgentDriver;
import edu.utdallas.mavs.divas.core.sim.agent.interaction.communication.SimpleAgentCommunicationModule;
import edu.utdallas.mavs.divas.core.sim.agent.interaction.perception.HumanPerceptionModule;
import edu.utdallas.mavs.divas.core.sim.common.state.AgentControlType;
import edu.utdallas.mavs.divas.core.sim.common.stimulus.Stimuli;
import edu.utdallas.mavs.evacuation.simulation.sim.agent.interaction.HumanInteractionModule;
import edu.utdallas.mavs.evacuation.simulation.sim.agent.knowledge.EvacuationHumanKnowledgeModule;
import edu.utdallas.mavs.evacuation.simulation.sim.agent.knowledge.external.EnvObjectKnowledgeStorageObject;
import edu.utdallas.mavs.evacuation.simulation.sim.agent.planning.EvacuationHumanPathFinding;
import edu.utdallas.mavs.evacuation.simulation.sim.agent.planning.EvacuationHumanPlanExecutor;
import edu.utdallas.mavs.evacuation.simulation.sim.agent.planning.EvacuationHumanPlanGenerator;
import edu.utdallas.mavs.evacuation.simulation.sim.agent.planning.EvacuationHumanPlanningModule;
import edu.utdallas.mavs.evacuation.simulation.sim.agent.planning.EvacuationHumanReactionModule;
import edu.utdallas.mavs.evacuation.simulation.sim.agent.task.HumanTaskModule;
import edu.utdallas.mavs.evacuation.simulation.sim.common.state.EHumanAgentState;
import edu.utdallas.mavs.evacuation.simulation.sim.common.stimulus.ChangeHeadingStimulus;
import edu.utdallas.mavs.evacuation.simulation.sim.common.stimulus.MoveStimulus;

/**
 * Human Agent
 */
public class EvacuationHumanAgent extends AbstractAgent<EHumanAgentState, EvacuationHumanKnowledgeModule, HumanInteractionModule, EvacuationHumanPlanningModule, HumanTaskModule> implements Serializable
{
    private static final long serialVersionUID = 4439413037652115193L;

    public EvacuationHumanAgent(EHumanAgentState state)
    {
        super(state);
    }

    @Override
    protected Stimuli generateStimuli()
    {
        Stimuli stimuli = null;

        // if the agent needs to be simulated
        if(getState().getControlType().equals(AgentControlType.Autonomous))
        {
            if(agentDriver != null)
            {
                agentDriver.close();
                agentDriver = null;
            }
            stimuli = plan(); // generate stimuli
        }
        // if the agent is being controlled by the keyboard driver
        else if(getState().getControlType().equals(AgentControlType.Keyboard))
        {
            if(agentDriver != null)
            {
                if(!agentDriver.getClass().getName().equals(KeyboardAgentDriver.class.getName()))
                {
                    agentDriver.close();
                    agentDriver = new KeyboardAgentDriver(getId());
                }
            }
            else
                agentDriver = new KeyboardAgentDriver(getId());

            // request stimuli from the driver
            stimuli = requestDriverStimuli();
        }
        else if(getState().getControlType().equals(AgentControlType.Wiimote))
        {
            if(agentDriver != null)
            {
                if(!agentDriver.getClass().getName().equals(WiimoteAgentDriver.class.getName()))
                {
                    agentDriver.close();
                    agentDriver = new WiimoteAgentDriver(getId());
                }
            }
            else
                agentDriver = new WiimoteAgentDriver(getId());

            // request stimuli from the driver
            stimuli = requestDriverStimuli();
        }
        
        
        return stimuli;
    }

    private Stimuli plan()
    {
        return planningModule.plan();
    }

    private Stimuli requestDriverStimuli()
    {
        Stimuli stimuli = new Stimuli();

        Vector3f currentPos = getState().getPosition();
        Vector3f currentHeading = getState().getHeading();

        Vector3f nextPos = currentPos.clone();
        Vector3f nextHeading = currentHeading.clone();

        // calculate position based on previous heading and sum of forward and
        // lateral motion
        float forwardMotion = agentDriver.grabForwardDelta();
        float lateralMotion = agentDriver.grabLateralDelta();

        Vector3f normHeading = currentHeading.normalize();

        // calculate positive lateral vector (rotate heading 90 degrees east)
        Vector3f normLateral = new Vector3f(-normHeading.getZ(), normHeading.getY(), normHeading.getX());

        nextPos.setX(currentPos.getX() + (normHeading.getX() * forwardMotion) + (normLateral.getX() * lateralMotion));
        nextPos.setY(currentPos.getY() + (normHeading.getY() * forwardMotion) + (normLateral.getY() * lateralMotion));
        nextPos.setZ(currentPos.getZ() + (normHeading.getZ() * forwardMotion) + (normLateral.getZ() * lateralMotion));

        if(!nextPos.equals(currentPos))
            stimuli.add(new MoveStimulus(getState().getID(), nextPos.x, nextPos.y, nextPos.z));

        // calculate new heading (rotate about y axis)
        float rotation = -agentDriver.grabRotationDelta() * FastMath.PI / 180.0f;

        float x = currentHeading.getX();
        float z = currentHeading.getZ();

        nextHeading.setX(x * FastMath.cos(rotation) + z * FastMath.sin(rotation));
        nextHeading.setY(0);
        nextHeading.setZ(z * FastMath.cos(rotation) - x * FastMath.sin(rotation));
        nextHeading.normalizeLocal();

        if(!nextHeading.equals(currentHeading))
            stimuli.add(new ChangeHeadingStimulus(getState().getID(), nextHeading.x, nextHeading.y, nextHeading.z));

        return stimuli;
    }

    public EnvObjectKnowledgeStorageObject getFloorAgentIsOn()
    {
        Vector3f position = getState().getPosition();
        for(EnvObjectKnowledgeStorageObject envObjModel : knowledgeModule.getEnvObjects())
        {
            if(envObjModel.getType().compareTo("floor") == 0)
            {

                float xlowlim = envObjModel.getPosition().getX() - envObjModel.getScale().getX();
                float xhighlim = envObjModel.getPosition().getX() + envObjModel.getScale().getX();
                float zlowlim = envObjModel.getPosition().getZ() - envObjModel.getScale().getZ();
                float zhighlim = envObjModel.getPosition().getZ() + envObjModel.getScale().getZ();
                if((position.getX() >= xlowlim) && (position.getX() <= xhighlim) && (position.getZ() >= zlowlim) && (position.getZ() <= zhighlim))
                {
                    return envObjModel;
                }
            }
        }
        return null;
    }

    @Override
    protected EvacuationHumanKnowledgeModule createKnowledgeModule(EHumanAgentState state)
    {
        return new EvacuationHumanKnowledgeModule(state);
    }

    @Override
    protected HumanInteractionModule createInteractionModule(EvacuationHumanKnowledgeModule knowledgeModule)
    {
        return new HumanInteractionModule(new HumanPerceptionModule(knowledgeModule), new SimpleAgentCommunicationModule(getId()));
    }

    @Override
    protected EvacuationHumanPlanningModule createPlanningModule(EvacuationHumanKnowledgeModule knowledgeModule, HumanTaskModule taskModule, HumanInteractionModule humanInteractionModule)
    {
        EvacuationHumanPathFinding pathFinding = new EvacuationHumanPathFinding(knowledgeModule, taskModule);
        EvacuationHumanPlanGenerator planGenerator = new EvacuationHumanPlanGenerator(knowledgeModule, taskModule, humanInteractionModule, pathFinding);
        EvacuationHumanPlanExecutor planExecutor = new EvacuationHumanPlanExecutor(knowledgeModule);
        EvacuationHumanReactionModule reactionModule = new EvacuationHumanReactionModule(knowledgeModule, taskModule, humanInteractionModule, pathFinding);
        return new EvacuationHumanPlanningModule(planGenerator, planExecutor, knowledgeModule, reactionModule);
    }

    @Override
    protected HumanTaskModule createTaskModule(EvacuationHumanKnowledgeModule knowledgeModule)
    {
        return new HumanTaskModule(knowledgeModule);
    }
}