package aima.core.environment.vacuum;
import aima.core.agent.Action;
import aima.core.agent.AgentProgram;
import aima.core.agent.Percept;
import aima.core.agent.impl.AbstractAgent;
import aima.core.agent.impl.NoOpAction;
/**
* Artificial Intelligence A Modern Approach (3rd Edition): Figure 2.8, page 48.<br>
* <br>
*
* <pre>
* function REFLEX-VACUUM-AGENT([location, status]) returns an action
*
* if status = Dirty then return Suck
* else if location = A then return Right
* else if location = B then return Left
* </pre>
*
* Figure 2.8 The agent program for a simple reflex agent in the two-state
* vacuum environment. This program implements the action function tabulated in
* Figure 2.3.
*
* @author Ciaran O'Reilly
*
*/
public class ReflexVacuumAgent extends AbstractAgent {
public ReflexVacuumAgent() {
super(new AgentProgram() {
// function REFLEX-VACUUM-AGENT([location, status]) returns an
// action
public Action execute(Percept percept) {
LocalVacuumEnvironmentPercept vep = (LocalVacuumEnvironmentPercept) percept;
// if status = Dirty then return Suck
if (VacuumEnvironment.LocationState.Dirty == vep
.getLocationState()) {
return VacuumEnvironment.ACTION_SUCK;
// else if location = A then return Right
} else if (VacuumEnvironment.LOCATION_A == vep
.getAgentLocation()) {
return VacuumEnvironment.ACTION_MOVE_RIGHT;
} else if (VacuumEnvironment.LOCATION_B == vep
.getAgentLocation()) {
// else if location = B then return Left
return VacuumEnvironment.ACTION_MOVE_LEFT;
}
// Note: This should not be returned if the
// environment is correct
return NoOpAction.NO_OP;
}
});
}
}