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

Example 6 with Sentence

use of nars.entity.Sentence 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 Sentence

use of nars.entity.Sentence 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 8 with Sentence

use of nars.entity.Sentence 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));
}

Example 9 with Sentence

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

the class Wonder method execute.

/**
 * To create a question 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];
    Sentence sentence = new Sentence(content, Symbols.QUESTION_MARK, null, new Stamp(memory));
    BudgetValue budget = new BudgetValue(Parameters.DEFAULT_QUESTION_PRIORITY, Parameters.DEFAULT_QUESTION_DURABILITY, 1);
    return Lists.newArrayList(new Task(sentence, budget, true));
}

Example 10 with Sentence

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

the class Emotions method adjustBusy.

public void adjustBusy(float newValue, float weight, DerivationContext nal) {
    busy += newValue * weight;
    busy /= (1.0f + weight);
    if (!enabled) {
        return;
    }
    float frequency = -1;
    if (Math.abs(busy - lastbusy) > CHANGE_THRESHOLD && nal.memory.time() - last_busy_time > change_steps_demanded) {
        if (busy > Parameters.BUSY_EVENT_HIGHER_THRESHOLD && lastbusy <= Parameters.BUSY_EVENT_HIGHER_THRESHOLD) {
            frequency = 1.0f;
        }
        if (busy < Parameters.BUSY_EVENT_LOWER_THRESHOLD && lastbusy >= Parameters.BUSY_EVENT_LOWER_THRESHOLD) {
            frequency = 0.0f;
        }
        lastbusy = busy;
        last_busy_time = nal.memory.time();
    }
    if (frequency != -1) {
        // ok lets add an event now
        Term predicate = SetInt.make(new Term("busy"));
        Term subject = new Term("SELF");
        Inheritance inh = Inheritance.make(subject, predicate);
        TruthValue truth = new TruthValue(busy, Parameters.DEFAULT_JUDGMENT_CONFIDENCE);
        Sentence s = new Sentence(inh, Symbols.JUDGMENT_MARK, truth, new Stamp(nal.memory));
        s.stamp.setOccurrenceTime(nal.memory.time());
        Task t = new Task(s, new BudgetValue(Parameters.DEFAULT_JUDGMENT_PRIORITY, Parameters.DEFAULT_JUDGMENT_DURABILITY, BudgetFunctions.truthToQuality(truth)), true);
        nal.addTask(t, "emotion");
    }
}