package aima.core.environment.vacuum;
import java.util.LinkedHashSet;
import java.util.Set;
import aima.core.agent.impl.AbstractAgent;
import aima.core.agent.impl.aprog.SimpleReflexAgentProgram;
import aima.core.agent.impl.aprog.simplerule.EQUALCondition;
import aima.core.agent.impl.aprog.simplerule.Rule;
/**
* @author Ciaran O'Reilly
*
*/
public class SimpleReflexVacuumAgent extends AbstractAgent {
public SimpleReflexVacuumAgent() {
super(new SimpleReflexAgentProgram(getRuleSet()));
}
//
// PRIVATE METHODS
//
private static Set<Rule> getRuleSet() {
// Note: Using a LinkedHashSet so that the iteration order (i.e. implied
// precedence) of rules can be guaranteed.
Set<Rule> rules = new LinkedHashSet<Rule>();
// Rules based on REFLEX-VACUUM-AGENT:
// Artificial Intelligence A Modern Approach (3rd Edition): Figure 2.8,
// page 48.
rules.add(new Rule(new EQUALCondition(LocalVacuumEnvironmentPercept.ATTRIBUTE_STATE,
VacuumEnvironment.LocationState.Dirty),
VacuumEnvironment.ACTION_SUCK));
rules.add(new Rule(new EQUALCondition(
LocalVacuumEnvironmentPercept.ATTRIBUTE_AGENT_LOCATION,
VacuumEnvironment.LOCATION_A),
VacuumEnvironment.ACTION_MOVE_RIGHT));
rules.add(new Rule(new EQUALCondition(
LocalVacuumEnvironmentPercept.ATTRIBUTE_AGENT_LOCATION,
VacuumEnvironment.LOCATION_B),
VacuumEnvironment.ACTION_MOVE_LEFT));
return rules;
}
}