Examples with BeliefTable nars.table.BeliefTable used on opensource projects

Example 1 with BeliefTable

use of nars.table.BeliefTable in project narchy by automenta.

the class Premise method match.

/**
 * resolve the most relevant belief of a given term/concept
 * <p>
 * patham9 project-eternalize
 * patham9 depending on 4 cases
 * patham9 https://github.com/opennars/opennars2/blob/a143162a559e55c456381a95530d00fee57037c4/src/nal/deriver/projection_eternalization.clj
 * sseehh__ ok ill add that in a bit
 * patham9 you need  project-eternalize-to
 * sseehh__ btw i disabled immediate eternalization entirely
 * patham9 so https://github.com/opennars/opennars2/blob/a143162a559e55c456381a95530d00fee57037c4/src/nal/deriver/projection_eternalization.clj#L31
 * patham9 especially try to understand the "temporal temporal" case
 * patham9 its using the result of higher confidence
 * <p>
 * returns ttl used, -1 if failed before starting
 *
 * @param matchTime - temporal focus control: determines when a matching belief or answer should be projected to
 */
@Nullable
public Derivation match(Derivation d, long[] focus, int matchTTL) {
    NAR n = d.nar;
    if (task == null || task.isDeleted()) {
        // }
        return null;
    }
    // n.conceptualize(task.term(), (c)->{});
    int dur = d.dur;
    Term beliefTerm = term();
    Term taskTerm = task.term();
    Term taskConcept = task.term().concept();
    final boolean[] beliefConceptCanAnswerTaskConcept = { false };
    boolean unifiedBelief = false;
    Op to = taskTerm.op();
    Op bo = beliefTerm.op();
    if (to == bo) {
        if (taskConcept.equals(beliefTerm.concept())) {
            beliefConceptCanAnswerTaskConcept[0] = true;
        } else {
            if ((bo.conceptualizable) && (beliefTerm.hasAny(var) || taskTerm.hasAny(var))) {
                Term _beliefTerm = beliefTerm;
                final Term[] unifiedBeliefTerm = new Term[] { null };
                UnifySubst u = new UnifySubst(/*null*/
                VAR_QUERY, n, (y) -> {
                    if (y.op().conceptualizable) {
                        y = y.normalize();
                        beliefConceptCanAnswerTaskConcept[0] = true;
                        if (!y.equals(_beliefTerm)) {
                            unifiedBeliefTerm[0] = y;
                            // stop
                            return false;
                        }
                    }
                    // keep going
                    return true;
                }, matchTTL);
                u.varSymmetric = true;
                u.varCommonalize = true;
                u.unify(taskTerm, beliefTerm, true);
                if (unifiedBeliefTerm[0] != null) {
                    beliefTerm = unifiedBeliefTerm[0];
                    unifiedBelief = true;
                }
            }
        }
    }
    // HACK ?? assert(beliefTerm.op()!=NEG);
    beliefTerm = beliefTerm.unneg();
    // QUESTION ANSWERING and TERMLINK -> TEMPORALIZED BELIEF TERM projection
    Task belief = null;
    // float timeFocus = n.timeFocus.floatValue();
    // int fRad = Math.round(Math.max(1,dur * timeFocus));
    final Concept beliefConcept = beliefTerm.op().conceptualizable ? // conceptualize in case of dynamic concepts
    n.conceptualize(beliefTerm) : null;
    if (beliefConcept != null) {
        if (!beliefTerm.hasVarQuery()) {
            // doesnt make sense to look for a belief in a term with query var, it will have none
            final BeliefTable bb = beliefConcept.beliefs();
            if (task.isQuestOrQuestion()) {
                if (beliefConceptCanAnswerTaskConcept[0]) {
                    final BeliefTable answerTable = (task.isGoal() || task.isQuest()) ? beliefConcept.goals() : bb;
                    // //see if belief unifies with task (in reverse of previous unify)
                    // if (questionTerm.varQuery() == 0 || (unify((Compound)beliefConcept.term(), questionTerm, nar) == null)) {
                    // 
                    // } else {
                    // 
                    // }
                    Task match = answerTable.answer(task.start(), task.end(), dur, task, beliefTerm, n, d::add);
                    if (match != null) {
                        assert (task.isQuest() || match.punc() == BELIEF) : "quest answered with a belief but should be a goal";
                        @Nullable Task answered = task.onAnswered(match, n);
                        if (answered != null) {
                            n.emotion.onAnswer(task, answered);
                        }
                        if (match.isBelief()) {
                            belief = match;
                        }
                    }
                }
            }
            if ((belief == null) && !bb.isEmpty()) {
                belief = bb.match(focus[0], focus[1], beliefTerm, n, taskConcept.equals(beliefConcept.term()) ? x -> !x.equals(task) : null);
            }
        }
        if (unifiedBelief) {
            Concept originalBeliefConcept = n.conceptualize(term());
            if (originalBeliefConcept != null)
                linkVariable(originalBeliefConcept, beliefConcept);
        }
    }
    if (belief != null) {
        // use the belief's actual possibly-temporalized term
        beliefTerm = belief.term().unneg();
    // if (belief.equals(task)) { //do not repeat the same task for belief
    // belief = null; //force structural transform; also prevents potential inductive feedback loop
    // }
    }
    if (beliefTerm instanceof Bool) {
        // logger.warn("{} produced Bool beliefTerm", this);
        return null;
    }
    if (!d.reset().proto(task, belief, beliefTerm))
        return null;
    return d;
}

Example 2 with BeliefTable

use of nars.table.BeliefTable in project narchy by automenta.

the class AutoConceptualizer method update.

protected void update(NAR n) {
    long now = n.time();
    float[] x = this.x;
    int inputs = in.size();
    for (int i = 0, inSize = inputs; i < inSize; i++) {
        Concept xx = in.get(i);
        Truth t = ((BeliefTable) xx.table(beliefOrGoal ? BELIEF : GOAL)).truth(now, n);
        float f;
        if (t == null) {
            f = 0.5f;
        // 0.5f + (learningRate * 2) * n.random().nextFloat() - learningRate;
        // n.random()
        } else {
            f = t.freq();
        }
        x[i] = f;
    }
    // System.out.println(n4(x));
    float err = ae.put(x, learningRate, noiseLevel, 0, true);
    // System.out.println("err=" + n4(err/inputs) + ": \t" + n4(ae.y));
    // decompile/unfactor the outputs
    // if err < thresh
    int outputs = ae.outputs();
    float[] b = new float[outputs];
    float thresh = n.freqResolution.floatValue();
    int[] order = new int[inputs];
    for (int i = 0; i < outputs; i++) {
        // basis vector for each output
        b[i] = 1;
        float[] a = ae.decode(b, true);
        // System.out.println("\tfeature " + i + "=" + n4(a));
        Term feature = conj(order, a, /* threshold, etc */
        5, /*a.length/2*/
        thresh);
        if (feature != null) {
            // System.out.println("\t  " + feature);
            onFeature(feature);
        }
        // clear
        b[i] = 0;
    }
}

Example 3 with BeliefTable

use of nars.table.BeliefTable in project narchy by automenta.

the class BeliefAnalysis method print.

public void print(boolean beliefOrGoal) {
    BeliefTable table = table(beliefOrGoal);
    System.out.println((beliefOrGoal ? "Beliefs" : "Goals") + "[@" + nar.time() + "] " + table.size() + '/' + table.capacity());
    table.print(System.out);
// System.out.println();
}

Example 4 with BeliefTable

use of nars.table.BeliefTable in project narchy by automenta.

the class ImplicationNetworkTest method testEternal_A_PosBelief_ToBC.

@Test
public void testEternal_A_PosBelief_ToBC() {
    NAR n = NARS.tmp();
    Param.DEBUG = true;
    n.believe(IMPL.the(a, b));
    n.believe(IMPL.the(b, c));
    n.believe(a);
    n.run(100);
    BeliefTable aBeliefs = n.concept(a).beliefs();
    Truth aBelief = aBeliefs.truth(ETERNAL, n);
    // n.concept(a).print();
    // a belief state should not exceed the input (default confidence) and freq remain stable
    // additional beliefs are not helpful
    // assertEquals(1, aBeliefs.size());
    BeliefTable bBeliefs = n.concept(b).beliefs();
    Truth bBelief = bBeliefs.truth(ETERNAL, n);
    // n.concept(b).print();
    // assertEquals(1, bBeliefs.size());
    // b should have less conf than a but higher than c
    // same freq among all
    Truth cBelief = n.concept(c).beliefs().truth(ETERNAL, n);
    // n.concept(c).print();
    System.out.println("a: " + aBelief);
    System.out.println("b: " + bBelief);
    System.out.println("c: " + cBelief);
    assertEquals(aBelief.freq(), bBelief.freq(), n.freqResolution.floatValue());
    assertEquals(bBelief.freq(), cBelief.freq(), n.freqResolution.floatValue());
    assertTrue(aBelief.conf() - bBelief.conf() > n.confResolution.floatValue() * 2);
    assertTrue(bBelief.conf() - cBelief.conf() > n.confResolution.floatValue() * 2);
}

Example 5 with BeliefTable

use of nars.table.BeliefTable in project narchy by automenta.

the class ImplicationNetworkTest method testEternal_A_NegBelief_NegToBC.

@Test
public void testEternal_A_NegBelief_NegToBC() {
    NAR n = NARS.tmp(6);
    n.termVolumeMax.set(16);
    Param.DEBUG = true;
    n.believe(IMPL.the(a.neg(), b));
    n.believe(IMPL.the(b, c));
    n.believe(a.neg());
    n.run(800);
    BeliefTable aa = n.concept(a).beliefs();
    BeliefTable bb = n.concept(b).beliefs();
    BeliefTable cc = n.concept(c).beliefs();
    aa.print();
    bb.print();
    // cc.print();
    cc.forEachTask(x -> System.out.println(x.proof()));
    // assertEquals(1, aBeliefs.size());
    Truth bBelief = bb.truth(ETERNAL, n);
    Truth cBelief = cc.truth(ETERNAL, n);
    assertEquals("%1.0;.81%", bBelief.toString());
    assertEquals("%1.0;.73%", cBelief.toString());
}