Examples with ActionConcept nars.concept.action.ActionConcept used on opensource projects

Example 1 with ActionConcept

use of nars.concept.action.ActionConcept in project narchy by automenta.

the class NAct method actionTriStatePWM.

@Nullable
default ActionConcept actionTriStatePWM(@NotNull Term s, @NotNull IntConsumer i) {
    ActionConcept m = new GoalActionConcept(s, this, (b, d) -> {
        int ii;
        if (d == null) {
            ii = 0;
        } else {
            float f = d.freq();
            if (f == 1f) {
                ii = +1;
            } else if (f == 0) {
                ii = -1;
            } else if (f > 0.5f) {
                ii = nar().random().nextFloat() <= ((f - 0.5f) * 2f) ? +1 : 0;
            } else if (f < 0.5f) {
                ii = nar().random().nextFloat() <= ((0.5f - f) * 2f) ? -1 : 0;
            } else
                ii = 0;
        }
        i.accept(ii);
        float f;
        switch(ii) {
            case 1:
                f = 1f;
                break;
            case 0:
                f = 0.5f;
                break;
            case -1:
                f = 0f;
                break;
            default:
                throw new RuntimeException();
        }
        return // d!=null ?
        $.t(f, // d.conf()
        nar().confDefault(BELIEF));
    });
    return addAction(m);
}

Example 2 with ActionConcept

use of nars.concept.action.ActionConcept in project narchy by automenta.

the class NAgent method run.

@Override
public void run() {
    if (!enabled.get())
        return;
    this.last = this.now;
    this.now = nar.time();
    if (now <= last)
        return;
    // stretched perceptual duration to the NAgent's effective framerate
    int dur = Math.max(nar.dur(), (int) (now - last));
    reward = act();
    happy.update(last, now, dur, nar);
    FloatFloatToObjectFunction<Truth> truther = (prev, next) -> $.t(next, nar.confDefault(BELIEF));
    sensors.forEach((key, value) -> value.input(key.update(last, now, truther, dur, nar)));
    always(motivation.floatValue());
    // HACK TODO compile this to re-used array on init like before
    Map.Entry<ActionConcept, CauseChannel<ITask>>[] aa = actions.entrySet().toArray(new Map.Entry[actions.size()]);
    // fair chance of ordering to all motors
    ArrayUtils.shuffle(aa, random());
    for (Map.Entry<ActionConcept, CauseChannel<ITask>> ac : aa) {
        Stream<ITask> s = ac.getKey().update(last, now, dur, NAgent.this.nar);
        if (s != null)
            ac.getValue().input(s);
    }
    Truth happynowT = nar.beliefTruth(happy, last, now);
    float happynow = happynowT != null ? (happynowT.freq() - 0.5f) * 2f : 0;
    nar.emotion.happy(motivation.floatValue() * dexterity(last, now) * happynow);
    if (trace)
        logger.info(summary());
}