Examples with Task nars.Task used on opensource projects

Example 1 with Task

use of nars.Task in project narchy by automenta.

the class DynamicTruthBeliefTable method taskDynamic.

@Override
protected Task taskDynamic(long start, long end, final Term _template, NAR nar) {
    Term template = template(start, end, _template, nar);
    if (template == null || (template != _template && template.op() != _template.op()))
        return null;
    DynTruth yy = truth(start, end, template, nar);
    if (yy != null) {
        Task generated = yy.task(template, model, beliefOrGoal, nar);
        return generated;
    } else {
        return null;
    }
}

Example 2 with Task

use of nars.Task in project narchy by automenta.

the class ScalarBeliefTable method sample.

@Override
public Task sample(long start, long end, Term template, NAR nar) {
    Task x = super.sample(start, end, template, nar);
    if (start != ETERNAL) {
        FasterList<Task> batch = series.toList(start, end, SAMPLE_BATCH_SIZE);
        // TODO fair roulette select according to task value
        Task seriesTask = !batch.isEmpty() ? batch.get(nar.random()) : null;
        if (SERIES_OVERRIDES && seriesTask != null) {
            return seriesTask;
        }
        return Task.eviMax(seriesTask, x, start, end);
    } else {
        return x;
    }
}

Example 3 with Task

use of nars.Task 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 4 with Task

use of nars.Task in project narchy by automenta.

the class ConjClustering method conjoinCentroid.

// /**
// * produces a parallel conjunction term consisting of all the task's terms
// */
// public Stream<List<Task>> chunk(Stream<Task> input, int maxComponentsPerTerm, int maxVolume) {
// final int[] group = {0};
// final int[] subterms = {0};
// final int[] currentVolume = {0};
// final float[] currentConf = {1};
// return input.filter(x -> !x.isDeleted())
// .collect(Collectors.groupingBy(x -> {
// 
// int v = x.volume();
// float c = x.conf();
// 
// if ((subterms[0] >= maxComponentsPerTerm) || (currentVolume[0] + v >= maxVolume) || (currentConf[0] * c < confMin)) {
// //next group
// group[0]++;
// subterms[0] = 1;
// currentVolume[0] = v;
// currentConf[0] = c;
// } else {
// subterms[0]++;
// currentVolume[0] += v;
// currentConf[0] *= c;
// }
// 
// return group[0];
// }))
// .entrySet().stream()
// .map(c -> {
// List<Task> v = c.getValue();
// return c.getKey() >= 0 && //only batches of >1
// v.size() > 1 ? v : null;  //ignore the -1 discard group
// })
// .filter(Objects::nonNull);
// 
// }
// static final BiFunction<Task, Task, Task> termPointMerger = (prevZ, newZ) -> ((prevZ == null) || (newZ.conf() >= prevZ.conf())) ?
// newZ : prevZ;
private List<Task> conjoinCentroid(Stream<VLink<Task>> group, Pair<NAR, List<Task>> narAndTarget) {
    NAR nar = narAndTarget.getOne();
    // get only the maximum confidence task for each term at its given starting time
    // in.input(
    // chunk(group.filter(Objects::nonNull).takeWhile(kontinue)
    // .map(x -> x.id), maxConjSize, volMax).takeWhile(kontinue).map(tasks -> {
    Iterator<VLink<Task>> gg = group.filter(x -> x != null && !x.isDeleted()).iterator();
    // Iterators.peekingIterator();
    Map<LongObjectPair<Term>, Task> vv = new HashMap<>();
    FasterList<Task> actualTasks = new FasterList();
    int centroidGen = 0;
    List<Task> gen = narAndTarget.getTwo();
    main: while (gg.hasNext() && centroidGen < taskLimitPerCentroid) {
        vv.clear();
        actualTasks.clear();
        long end = Long.MIN_VALUE;
        long start = Long.MAX_VALUE;
        int dur = nar.dur();
        float freq = 1f;
        float conf = 1f;
        float priMax = Float.NEGATIVE_INFINITY, priMin = Float.POSITIVE_INFINITY;
        int vol = 0;
        int maxVolume = 0;
        do {
            if (!gg.hasNext())
                break;
            Task t = gg.next().id;
            // gg.peek().id;
            Term xt = t.term();
            long zs = Tense.dither(t.start(), ditherTime);
            long ze = Tense.dither(t.end(), ditherTime);
            // assert (end >= start);
            Truth tx = t.truth();
            Term xtn = xt.neg();
            if (tx.isNegative()) {
                xt = xtn;
            }
            int xtv = xt.volume();
            maxVolume = Math.max(maxVolume, xt.volume());
            if (vol + xtv + 1 >= volMax || conf * tx.conf() < confMin) {
                // cant go any further with this task
                continue;
            }
            boolean involved = false;
            LongObjectPair<Term> ps = pair(zs, xt);
            Term xtNeg = xt.neg();
            if (!vv.containsKey(pair(zs, xtNeg)) && null == vv.putIfAbsent(ps, t)) {
                vol += xtv;
                if (start > zs)
                    start = zs;
                if (end < zs)
                    end = zs;
                involved = true;
            }
            if (ze - zs >= dur) {
                // endpoint
                if (vol + xtv + 1 < volMax) {
                    LongObjectPair<Term> pe = pair(ze, xt);
                    if (!vv.containsKey(pair(ze, xtNeg)) && null == vv.putIfAbsent(pe, t)) {
                        // end point, if different from start
                        vol += xtv;
                        if (end < ze)
                            end = ze;
                        involved = true;
                    }
                }
            }
            if (involved) {
                actualTasks.add(t);
                conf *= tx.conf();
                float tf = tx.freq();
                // since it will appear as a negated subterm
                freq *= tx.isNegative() ? (1f - tf) : tf;
                float p = t.priElseZero();
                if (p < priMin)
                    priMin = p;
                if (p > priMax)
                    priMax = p;
            }
        } while (vol < volMax - 1 && conf > confMin);
        int vs = actualTasks.size();
        if (vs < 2)
            continue;
        // the tasks which are actually involved
        Task[] uu = actualTasks.toArrayRecycled(Task[]::new);
        // TODO discount based on evidential overlap? needs N-way overlapFraction function
        ObjectFloatPair<long[]> evidence = Stamp.zip(actualTasks, Param.STAMP_CAPACITY);
        float overlap = evidence.getTwo();
        float e = c2w(conf) * Param.overlapFactor(overlap);
        if (e > 0) {
            final Truth t = Truth.theDithered(freq, e, nar);
            if (t != null) {
                Term cj = Conj.conj(vv.keySet());
                if (cj != null) {
                    cj = cj.normalize();
                    if (Math.abs(cj.dtRange() - (end - start)) < ditherTime) {
                        // test if merge collapse occurred and occurrence time needs recalculated
                        ObjectBooleanPair<Term> cp = Task.tryContent(cj, punc, true);
                        if (cp != null) {
                            // TODO use a truth calculated specific to this fixed-size batch, not all the tasks combined
                            NALTask m = new STMClusterTask(cp, t, start, start, evidence.getOne(), punc, now);
                            // if (evidence.getTwo() > 0) m.setCyclic(true);
                            m.cause = Cause.sample(Param.causeCapacity.intValue(), uu);
                            float p = // priMax;
                            priMin;
                            // (priMin + priMax) / 2f;
                            // complexity deduction
                            // how much more complex the conjunction is than the most complex of its ingredients
                            int v = cp.getOne().volume();
                            float cmplFactor = ((float) v) / (v + maxVolume);
                            m.priSet(Priority.fund(p * cmplFactor, true, uu));
                            gen.add(m);
                            centroidGen++;
                        }
                    } else {
                    // System.out.println("merge collapse, recalcu");
                    }
                }
            }
        }
    }
    return gen.isEmpty() ? null : gen;
}

Example 5 with Task

use of nars.Task in project narchy by automenta.

the class RLBooster method accept.

@Override
public void accept(NAR ignored) {
    // TODO provide actual action vector, not what it thinks it enacted by itself
    // NAgent's happiness value, normalized to -1..+1
    float reward = (env.happy.asFloat() - 0.5f) * 2f;
    int O = rl.act(reward, input());
    // System.out.println(now + " "  + o + " " + a.o.floatValue() + " " + " " + a.rewardValue);
    float OFFfreq = 0f;
    // = Float.NaN;
    NAR nar = env.nar();
    long start = env.last;
    long end = env.now;
    // int dur = nar.dur();
    List<Task> e = new FasterList(actions.length);
    for (int o = 0; o < actions.length; o++) {
        Truth off = OFFfreq == OFFfreq ? $.t(OFFfreq, conf.floatValue()) : null;
        // float value = actionDiscretization==1 ? 1f /* full */ :
        // ((float)(j)) / (actionDiscretization-1);
        float value = 1f;
        Truth tK;
        if (o == O) {
            tK = $.t(value, conf.floatValue());
        } else {
            // cancel all other concept goal signals
            tK = off;
        }
        Task tt = new SignalTask(actions[o].term(), GOAL, tK, start, start, end, nar.time.nextStamp());
        if (tt != null)
            e.add(tt);
    }
    in.input(e);
}