Examples with Task nars.entity.Task used on opensource projects

Example 6 with Task

use of nars.entity.Task in project opennars by opennars.

the class OutputContainsCondition method cond.

public boolean cond(Class channel, Object signal) {
    if ((channel == OUT.class) || (channel == EXE.class)) {
        String o;
        if (signal instanceof Task) {
            // only compare for Sentence string, faster than TextOutput.getOutputString
            // which also does unescaping, etc..
            Task t = (Task) signal;
            Sentence s = t.sentence;
            o = s.toString(nar, false).toString();
            if (o.contains(containing)) {
                if (saveSimilar) {
                    exact.add(t);
                }
                return true;
            }
        } else {
            Task t = null;
            if (signal instanceof ExecutionResult)
                t = ((ExecutionResult) signal).getTask();
            o = TextOutputHandler.getOutputString(channel, signal, false, false, nar).toString();
            if (o.contains(containing)) {
                if ((saveSimilar) && (t != null)) {
                    exact.add(t);
                }
                return true;
            }
        }
        if (saveSimilar) {
            int dist = levenshteinDistance(o, containing);
            if (almost.size() >= maxSimilars) {
                SimilarOutput last = almost.last();
                if (dist < last.distance) {
                    almost.remove(last);
                    almost.add(new SimilarOutput(o, dist));
                }
            } else {
                almost.add(new SimilarOutput(o, dist));
            }
        }
    }
    /*if (channel == ERR.class) {
            Assert.assertTrue(signal.toString(), false);
        }*/
    return false;
}

Example 7 with Task

use of nars.entity.Task in project opennars by opennars.

the class ConcatVisionChannel method step_start.

@Override
public void step_start() {
    Position samplePos = sampling.get(0);
    Task current = inputs[samplePos.Y][samplePos.X];
    int k = 0;
    for (int i = 1; i < sampling.size(); i++) {
        Position samplePos2 = sampling.get(i);
        Task prem2 = inputs[samplePos2.Y][samplePos2.X];
        List<Task> seq = proceedWithTemporalInduction(current.sentence, prem2.sentence, prem2, new DerivationContext(nar.memory), true, false, true);
        if (seq != null) {
            for (Task t : seq) {
                if (!t.sentence.isEternal()) {
                    // TODO improve API, this check should not be necessary
                    current = t;
                    break;
                }
            }
        }
        k++;
    }
    System.out.println(k);
    System.out.println(current);
    // feeds results into "upper" sensory channels:
    this.results.add(current);
    this.step_finished();
}

Example 8 with Task

use of nars.entity.Task in project opennars by opennars.

the class Memory method inputTask.

/* There are several types of new tasks, all added into the
     newTasks list, to be processed in the next cycleMemory.
     Some of them are reported and/or logged. */
/**
 * Input task processing. Invoked by the outside or inside environment.
 * Outside: StringParser (addInput); Inside: InnateOperator (feedback). Input
 * tasks with low priority are ignored, and the others are put into task
 * buffer.
 *
 * @param t The addInput task
 */
public void inputTask(final Task t, boolean emitIn) {
    if (!checked) {
        checked = true;
        isjUnit = isJUnitTest();
    }
    if (t instanceof Task) {
        Task task = (Task) t;
        Stamp s = task.sentence.stamp;
        if (s.getCreationTime() == -1)
            s.setCreationTime(time(), Parameters.DURATION);
        if (emitIn) {
            emit(IN.class, task);
        }
        if (task.budget.aboveThreshold()) {
            addNewTask(task, "Perceived");
        } else {
            removeTask(task, "Neglected");
        }
    }
}

Example 9 with Task

use of nars.entity.Task in project opennars by opennars.

the class Memory method processNewTasks.

/**
 * Process the newTasks accumulated in the previous workCycle, accept input
 * ones and those that corresponding to existing concepts, plus one from the
 * buffer.
 */
public void processNewTasks() {
    Task task;
    // don't include new tasks produced in the current workCycle
    int counter = newTasks.size();
    while (counter-- > 0) {
        task = newTasks.removeFirst();
        boolean enterDirect = true;
        if (/*task.isElemOfSequenceBuffer() || task.isObservablePrediction() || */
        enterDirect || task.isInput() || task.sentence.isQuest() || task.sentence.isQuestion() || concept(task.sentence.term) != null) {
            // new input or existing concept
            localInference(task);
        } else {
            Sentence s = task.sentence;
            if (s.isJudgment() || s.isGoal()) {
                double d = s.getTruth().getExpectation();
                if (s.isJudgment() && d > Parameters.DEFAULT_CREATION_EXPECTATION) {
                    // new concept formation
                    novelTasks.putIn(task);
                } else if (s.isGoal() && d > Parameters.DEFAULT_CREATION_EXPECTATION_GOAL) {
                    // new concept formation
                    novelTasks.putIn(task);
                } else {
                    removeTask(task, "Neglected");
                }
            }
        }
    }
}

Example 10 with Task

use of nars.entity.Task in project opennars by opennars.

the class Want method execute.

/**
 * To create a goal with a given statement
 * @param args Arguments, a Statement followed by an optional tense
 * @param memory The memory in which the operation is executed
 * @return Immediate results as Tasks
 */
@Override
protected ArrayList<Task> execute(Operation operation, Term[] args, Memory memory) {
    Term content = args[1];
    TruthValue truth = new TruthValue(1, Parameters.DEFAULT_JUDGMENT_CONFIDENCE);
    Sentence sentence = new Sentence(content, Symbols.GOAL_MARK, truth, new Stamp(memory));
    BudgetValue budget = new BudgetValue(Parameters.DEFAULT_GOAL_PRIORITY, Parameters.DEFAULT_GOAL_DURABILITY, truth);
    return Lists.newArrayList(new Task(sentence, budget, true));
}