本文整理汇总了Java中nars.entity.Stamp类的典型用法代码示例。如果您正苦于以下问题：Java Stamp类的具体用法？Java Stamp怎么用？Java Stamp使用的例子？那么, 这里精选的类代码示例或许可以为您提供帮助。
Stamp类属于nars.entity包，在下文中一共展示了Stamp类的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: reset
import nars.entity.Stamp; //导入依赖的package包/类
/**
* Reset the system with an empty memory and reset clock. Called locally and from MainWindow.
*/
public void reset() {
running = false;
walkingSteps = 0;
clock = 0;
memory.init();
Stamp.init();
}
示例2: reset
import nars.entity.Stamp; //导入依赖的package包/类
/**
* Reset the system with an empty memory and reset clock. Called locally and
* from {@link NARControls}.
*/
public void reset() {
walkingSteps = 0;
clock = 0;
memory.init();
Stamp.init();
output(OUT.class, "reset");
}
示例3: reset
import nars.entity.Stamp; //导入依赖的package包/类
/**
* Reset the system with an empty memory and reset clock. Called locally and
* from {@link NARWindow}.
*/
public void reset() {
walkingSteps = 0;
clock = 0;
memory.init();
Stamp.init();
output(OUT.class, "reset");
}
示例4: derivedTask
import nars.entity.Stamp; //导入依赖的package包/类
/**
* Derived task comes from the inference rules.
*
* @param task the derived task
*/
private void derivedTask(Task task, boolean revised, boolean single) {
if (task.getBudget().aboveThreshold()) {
if (task.getSentence() != null && task.getSentence().getTruth() != null) {
float conf = task.getSentence().getTruth().getConfidence();
if (conf == 0) { //no confidence - we can delete the wrongs out that way.
if (recorder.isActive()) {
recorder.append("!!! Ignored (confidence): " + task + "\n");
}
return;
}
}
Stamp stamp = task.getSentence().getStamp();
List<Term> chain = stamp.getChain();
if (currentBelief != null) {
if(chain.contains(currentBelief.getContent())) {
chain.remove(currentBelief.getContent());
}
stamp.addToChain(currentBelief.getContent());
}
if (currentTask != null && !single) {
if(chain.contains(currentTask.getContent())) {
chain.remove(currentTask.getContent());
}
stamp.addToChain(currentTask.getContent());
}
if (!revised) { //its a inference rule, we have to do the derivation chain check to hamper cycles
for (final Term chain1 : chain) {
if (task.getContent() == chain1) {
if (recorder.isActive()) {
recorder.append("!!! Cyclic Reasoning detected: " + task + "\n");
}
return;
}
}
} else { //its revision, of course its cyclic, apply evidental base policy
for (int i = 0; i < stamp.length(); i++) {
for (int j = 0; j < stamp.length(); j++) {
if (i != j && stamp.getBase()[i] == stamp.getBase()[j]) {
if (recorder.isActive()) {
recorder.append("!!! Overlapping Evidence on Revision detected: " + task + "\n");
}
return;
}
}
}
}
if (recorder.isActive()) {
recorder.append("!!! Derived: " + task + "\n");
}
float budget = task.getBudget().summary();
// float minSilent = reasoner.getMainWindow().silentW.value() / 100.0f;
float minSilent = reasoner.param.getSilenceLevel() / 100.0f;
if (budget > minSilent) { // only report significant derived Tasks
reasoner.output(OUT.class, task.getSentence());
}
newTasks.add(task);
} else {
if (recorder.isActive()) {
recorder.append("!!! Ignored: " + task + "\n");
}
}
}
示例5: derivedTask
import nars.entity.Stamp; //导入依赖的package包/类
/**
* Derived task comes from the inference rules.
*
* @param task the derived task
*/
private void derivedTask(Task task, boolean revised, boolean single) {
if (task.getBudget().aboveThreshold()) {
if (task.getSentence() != null && task.getSentence().getTruth() != null) {
float conf = task.getSentence().getTruth().getConfidence();
if (conf == 0) { //no confidence - we can delete the wrongs out that way.
if (recorder.isActive()) {
recorder.append("!!! Ignored (confidence): " + task + "\n");
}
return;
}
}
Stamp stamp = task.getSentence().getStamp();
List<Term> chain = stamp.getChain();
if (currentBelief != null) {
if(chain.contains(currentBelief.content)) {
chain.remove(currentBelief.content);
}
stamp.addToChain(currentBelief.content);
}
if (currentTask != null && !single) {
if(chain.contains(currentTask.getContent())) {
chain.remove(currentTask.getContent());
}
stamp.addToChain(currentTask.getContent());
}
if (!revised) { //its a inference rule, we have to do the derivation chain check to hamper cycles
for (final Term chain1 : chain) {
if (task.getContent() == chain1) {
if (recorder.isActive()) {
recorder.append("!!! Cyclic Reasoning detected: " + task + "\n");
}
return;
}
}
} else { //its revision, of course its cyclic, apply evidental base policy
for (int i = 0; i < stamp.length(); i++) {
for (int j = 0; j < stamp.length(); j++) {
if (i != j && stamp.getBase()[i] == stamp.getBase()[j]) {
if (recorder.isActive()) {
recorder.append("!!! Overlapping Evidence on Revision detected: " + task + "\n");
}
return;
}
}
}
}
if (recorder.isActive()) {
recorder.append("!!! Derived: " + task + "\n");
}
float budget = task.getBudget().summary();
// float minSilent = reasoner.getMainWindow().silentW.value() / 100.0f;
float minSilent = reasoner.param.getSilenceLevel() / 100.0f;
if (budget > minSilent) { // only report significant derived Tasks
reasoner.output(OUT.class, task.getSentence());
}
newTasks.add(task);
} else {
if (recorder.isActive()) {
recorder.append("!!! Ignored: " + task + "\n");
}
}
}