private String checkAskedDiscreteDomain(Attribute askedAttribute, String value) {
List askedValues = askedAttribute.getDiscreteDomain();
for (int i = 0; i < askedValues.size(); i++) {
if (askedValues.get(i).equals(value)) {
return value;
}
}
return String.valueOf(askedValues.get((int) (askedValues.size() * Math.random())));
}
protected void startNode()
throws IMTPException, ProfileException, ServiceException, JADESecurityException,
NotFoundException {
// Initialize all services (without activating them)
List services = new ArrayList();
initMandatoryServices(services);
List l = myProfile.getSpecifiers(Profile.SERVICES);
myProfile.setSpecifiers(Profile.SERVICES, l); // Avoid parsing services twice
initAdditionalServices(l.iterator(), services);
// Register with the platform
ServiceDescriptor[] descriptors = new ServiceDescriptor[services.size()];
for (int i = 0; i < descriptors.length; ++i) {
descriptors[i] = (ServiceDescriptor) services.get(i);
}
if (theBEManager != null) {
myNodeDescriptor.setParentNode(theBEManager.getNode());
}
// Actually join the platform (this call can modify the name of this container)
getServiceManager().addNode(myNodeDescriptor, descriptors);
if (theBEManager != null) {
theBEManager.register(myNodeDescriptor);
}
// Once we are connected, boot all services
bootAllServices(services);
}
public weka.core.Instances toWekaInstances() {
// attributes
FastVector wattrs = new FastVector();
Iterator itr = attributes.iterator();
while (itr.hasNext()) {
Attribute attr = (Attribute) itr.next();
wattrs.addElement(attr.toWekaAttribute());
}
// data instances
weka.core.Instances winsts = new weka.core.Instances(name, wattrs, instances.size());
itr = instances.iterator();
while (itr.hasNext()) {
Instance inst = (Instance) itr.next();
Iterator itrval = inst.getValues().iterator();
Iterator itrmis = inst.getMissing().iterator();
double[] vals = new double[wattrs.size()];
for (int i = 0; i < wattrs.size(); i++) {
double val = (Double) itrval.next();
if ((Boolean) itrmis.next()) {
vals[i] = weka.core.Instance.missingValue();
} else {
vals[i] = val;
}
}
weka.core.Instance winst = new weka.core.Instance(1, vals);
winst.setDataset(winsts);
winsts.add(winst);
}
winsts.setClassIndex(this.class_index);
return winsts;
}
/**
* Get the current child
*
* @see CompositeBehaviour#getCurrent
*/
protected Behaviour getCurrent() {
Behaviour b = null;
if (subBehaviours.size() > current) {
b = (Behaviour) subBehaviours.get(current);
}
return b;
}
public List removePendingMessages(MessageTemplate template, boolean notifyFailure) {
List pendingMsg = ((jade.imtp.leap.FrontEndStub) myFrontEnd).removePendingMessages(template);
if (pendingMsg.size() > 0) {
myLogger.log(
Logger.INFO, "Removed " + pendingMsg.size() + " pending messages from BackEnd queue.");
}
if (notifyFailure) {
Iterator it = pendingMsg.iterator();
while (it.hasNext()) {
try {
Object[] removed = (Object[]) it.next();
ACLMessage msg = (ACLMessage) removed[0];
AID receiver = new AID((String) removed[1], AID.ISLOCALNAME);
ServiceFinder myFinder = getServiceFinder();
MessagingService msgSvc = (MessagingService) myFinder.findService(MessagingSlice.NAME);
msgSvc.notifyFailureToSender(
new GenericMessage(msg), receiver, new InternalError("Agent dead"));
} catch (Exception e) {
myLogger.log(Logger.WARNING, "Cannot send AMS FAILURE. " + e);
}
}
}
return pendingMsg;
}
/**
* Creates a counterproposal, based on qualitative feedback on the previous proposal. According
* to the feedback received (on each AttributeValue of the Proposal), the enterpriseAgent
* generates a new value for each proposal's attribute. Calculating a new value for an attribute
* depends on the classification ("excellent", "sufficient", "bad", "very bad") and direction
* ("up", "down") feedback elements at an AttributeValue. In this implementation:
*
* <ul>
* <li>For discrete attributes, a new random value is selected within the domain of values for
* this attribute.
* <li>For continuous attributes:
* <ul>
* <li>If classification = "very bad", the value is changed in 10% towards the indicated
* direction.
* <li>If classification = "bad", the value is changed in 5% towards the indicated
* direction.
* <li>If classification = "sufficient", the value is changed in 0.5% towards the
* indicated direction.
* <li>If classification = "excellent", the value is not changed.
* </ul>
* </ul>
*/
public Proposal createCounterProposal(
ProposalEvaluation feedback, Need need, Competence competence) {
// final float DELTA_EXCELLENT = 0.0f;
// final float DELTA_SUFFICIENT = 0.005f;
// final float DELTA_BAD = 0.5f;
// final float DELTA_VERYBAD = 3f;
final float DELTA_EXCELLENT = 0.0f;
final float DELTA_SUFFICIENT = 0.5f;
final float DELTA_BAD = 0.7f;
final float DELTA_VERYBAD = 1.2f;
// final float DELTA_SUFFICIENT = 0.05f;
// final float DELTA_BAD = 0.5f;
// final float DELTA_VERYBAD = 1.5f;
Proposal proposal = new Proposal(myAgent.getAID());
proposal.setNeedType(feedback.getNeedType());
for (int i = 0; i < feedback.getAttributeValueEvaluations().size(); i++) {
AttributeValueEvaluation attributeValueEvaluation =
(AttributeValueEvaluation) feedback.getAttributeValueEvaluations().get(i);
Attribute askedAttribute = need.getAttribute(attributeValueEvaluation.getName());
Attribute ownAttribute = competence.getAttribute(attributeValueEvaluation.getName());
AttributeValue valueToPropose = new AttributeValue();
valueToPropose.setName(attributeValueEvaluation.getName());
valueToPropose.setType(attributeValueEvaluation.getType());
if (attributeValueEvaluation.isDiscrete()) { // discrete attribute
if (attributeValueEvaluation.getClassif()
== AttributeValueEvaluation.AttributeClassification.BAD
|| attributeValueEvaluation.getClassif()
== AttributeValueEvaluation.AttributeClassification.VERY_BAD) {
// propose a new random value for this attribute
List domain = ownAttribute.getDiscreteDomain();
String proposedValue =
(String)
domain.get(
(int)
(domain.size()
* Math
.random())); // FIXME: may get the same value or a previously
// proposed one!
valueToPropose.setValue(proposedValue);
} else {
// maintain previous value
valueToPropose.setValue(attributeValueEvaluation.getValue());
}
} else { // continuous attribute
float floatValue =
Float.parseFloat(attributeValueEvaluation.getValue()); // treat as float
float difToMaxEdge =
Float.parseFloat((String) askedAttribute.getContinuousDomainMax()) - floatValue;
float difToMinEdge =
floatValue - Float.parseFloat((String) askedAttribute.getContinuousDomainMin());
switch (attributeValueEvaluation.getClassif()) {
case EXCELLENT:
floatValue += DELTA_EXCELLENT * floatValue;
break;
case SUFFICIENT:
if (attributeValueEvaluation.getDirection()
== AttributeValueEvaluation.AttributeDirection.UP) {
floatValue += DELTA_SUFFICIENT * difToMaxEdge;
} else {
floatValue -= DELTA_SUFFICIENT * difToMinEdge;
}
break;
case BAD:
if (attributeValueEvaluation.getDirection()
== AttributeValueEvaluation.AttributeDirection.UP) {
floatValue += DELTA_BAD * difToMaxEdge;
} else if (attributeValueEvaluation.getDirection()
== AttributeValueEvaluation.AttributeDirection.DOWN) {
floatValue -= DELTA_BAD * difToMinEdge;
}
break;
case VERY_BAD:
if (attributeValueEvaluation.getDirection()
== AttributeValueEvaluation.AttributeDirection.UP) {
floatValue += DELTA_VERYBAD * difToMaxEdge;
} else if (attributeValueEvaluation.getDirection()
== AttributeValueEvaluation.AttributeDirection.DOWN) {
floatValue -= DELTA_VERYBAD * difToMinEdge;
}
break;
}
floatValue = checkOwnContinuousDomain(ownAttribute, floatValue);
floatValue = checkAskedContinuousDomain(askedAttribute, floatValue);
if (attributeValueEvaluation
.getType()
.equals("float")) { // check if this is really of type float, or integer
valueToPropose.setValue(String.valueOf(floatValue));
} else {
valueToPropose.setValue(String.valueOf(Math.round(floatValue)));
}
}
proposal.getAttributeValues().add(valueToPropose);
}
return proposal;
}
/**
* Check whether this <code>SequentialBehaviour</code> must terminate.
*
* @return true when the last child has terminated. false otherwise
* @see CompositeBehaviour#checkTermination
*/
protected boolean checkTermination(boolean currentDone, int currentResult) {
return (currentDone && current >= (subBehaviours.size() - 1));
}
public void skipNext() {
current = subBehaviours.size();
}
