Examples with TaskConcept nars.concept.TaskConcept used on opensource projects

Example 11 with TaskConcept

use of nars.concept.TaskConcept in project narchy by automenta.

the class RTreeBeliefTableTest method testProjection.

@Test
public void testProjection() throws Narsese.NarseseException {
    NAR n = NARS.shell();
    Term ab = nars.$.$("a:b");
    TaskConcept X = (TaskConcept) n.conceptualize(ab);
    RTreeBeliefTable r = RTreeBeliefTable.build(ab);
    r.setCapacity(4);
    add(r, X, 1f, 0.9f, 0, 1, n);
    add(r, X, 0f, 0.9f, 2, 3, n);
    assertEquals(1f, r.truth(0, 0, null, 1).freq());
    assertEquals("%.65;.93%", r.truth(0, 1, null, 1).toString());
    assertEquals("%.65;.93%", r.truth(1, 1, null, 1).toString());
    assertEquals("%.50;.95%", r.truth(1, 2, null, 1).toString());
    assertEquals("%.35;.93%", r.truth(2, 3, null, 1).toString());
    assertEquals(0f, r.truth(3, 3, null, 1).freq());
    assertEquals("%0.0;.83%", r.truth(4, 4, null, 1).toString());
    assertEquals("%0.0;.83%", r.truth(4, 5, null, 1).toString());
    assertEquals("%0.0;.78%", r.truth(5, 5, null, 1).toString());
}

Example 12 with TaskConcept

use of nars.concept.TaskConcept in project narchy by automenta.

the class RevisionTest method testRevision2EternalImpl.

@Test
public void testRevision2EternalImpl() throws Narsese.NarseseException {
    NAR n = newNAR(3).input("(x ==> y). %1.0;0.9%", "(x ==> y). %0.0;0.9%");
    n.run(1);
    TaskConcept c = (TaskConcept) n.conceptualize("(x ==> y)");
    c.print();
    Task t = n.match(c.term(), BELIEF, ETERNAL);
    assertEquals(0.5f, t.freq(), 0.01f);
    assertEquals(0.947f, t.conf(), 0.01f);
}

Example 13 with TaskConcept

use of nars.concept.TaskConcept in project narchy by automenta.

the class TemporalTermTest method testCommutiveTemporalityConcepts.

@Test
public void testCommutiveTemporalityConcepts() throws Narsese.NarseseException {
    NAR n = NARS.shell();
    n.log();
    n.input("(goto(#1) &&+5 ((SELF,#1)-->at)).");
    // n.step();
    n.input("(goto(#1) &&-5 ((SELF,#1)-->at)).");
    // n.step();
    n.input("(goto(#1) &&+0 ((SELF,#1)-->at)).");
    // n.step();
    n.input("(((SELF,#1)-->at) &&-3 goto(#1)).");
    // n.step();
    // n.input("(((SELF,#1)-->at) &&+3 goto(#1)).");
    // n.step();
    // n.input("(((SELF,#1)-->at) &&+0 goto(#1)).");
    n.run(2);
    TaskConcept a = (TaskConcept) n.conceptualize("(((SELF,#1)-->at) && goto(#1)).");
    Concept a0 = n.conceptualize("(goto(#1) && ((SELF,#1)-->at)).");
    assertNotNull(a);
    assertSame(a, a0);
    a.beliefs().print();
    assertTrue(a.beliefs().size() >= 4);
}

Example 14 with TaskConcept

use of nars.concept.TaskConcept in project narchy by automenta.

the class Recog2D method conceptTraining.

Surface conceptTraining(BeliefVector tv, NAR nar) {
    // LinkedHashMap<TaskConcept, BeliefVector.Neuron> out = tv.out;
    Plot2D p;
    int history = 256;
    Gridding g = new Gridding(p = new Plot2D(history, Plot2D.Line).add("Reward", () -> reward), new AspectAlign(new CameraSensorView(sp, this), AspectAlign.Align.Center, sp.width, sp.height), new Gridding(beliefTableCharts(nar, List.of(tv.concepts), 16)), new Gridding(IntStream.range(0, tv.concepts.length).mapToObj(i -> new spacegraph.space2d.widget.text.Label(String.valueOf(i)) {

        @Override
        protected void paintBelow(GL2 gl) {
            Concept c = tv.concepts[i];
            BeliefVector.Neuron nn = tv.neurons[i];
            float freq, conf;
            Truth t = nar.beliefTruth(c, nar.time());
            if (t != null) {
                conf = t.conf();
                freq = t.freq();
            } else {
                conf = nar.confMin.floatValue();
                float defaultFreq = // interpret no-belief as maybe
                0.5f;
                // Float.NaN  //use NaN to force learning of negation as separate from no-belief
                freq = defaultFreq;
            }
            Draw.colorBipolar(gl, 2f * (freq - 0.5f));
            float m = 0.5f * conf;
            Draw.rect(gl, bounds);
            if (tv.verify) {
                float error = nn.error;
                if (error != error) {
                // training phase
                // Draw.rect(gl, m / 2, m / 2, 1 - m, 1 - m);
                } else {
                // verification
                // draw backgroudn/border
                // gl.glColor3f(error, 1f - error, 0f);
                // 
                // float fontSize = 0.08f;
                // gl.glColor3f(1f, 1f, 1f);
                // Draw.text(gl, c.term().toString(), fontSize, m / 2, 1f - m / 2, 0);
                // Draw.text(gl, "err=" + n2(error), fontSize, m / 2, m / 2, 0);
                }
            }
        }
    }).toArray(Surface[]::new)));
    final int[] frames = { 0 };
    onFrame(() -> {
        if (frames[0]++ % imagePeriod == 0) {
            nextImage();
        }
        redraw();
        // if (neural.get()) {
        // if (nar.time() < trainFrames) {
        outs.expect(image);
        if (neural.get()) {
            train.update(mlpLearn, mlpSupport);
        }
        p.update();
    // s.update();
    });
    return g;
}

Example 15 with TaskConcept

use of nars.concept.TaskConcept in project narchy by automenta.

the class ConceptIndex method onRemove.

protected final void onRemove(Termed value) {
    if (value instanceof Concept) {
        if (value instanceof PermanentConcept) {
            // refuse deletion
            nar.runLater(() -> {
                set(value);
            });
        } else {
            Concept c = (Concept) value;
            if (c instanceof TaskConcept)
                forget((TaskConcept) c);
            c.delete(nar);
        }
    }
}