Examples with nars nars used on opensource projects

Example 1 with nars

use of nars in project narchy by automenta.

the class NAgentX method runRT.

public static NAR runRT(Function<NAR, NAgent> init, float narFPS, float agentFPS) {
    // The.Subterms.the =
    // The.Subterms.CaffeineSubtermBuilder.get();
    // The.Subterms.HijackSubtermBuilder.get();
    // The.Subterms.SoftSubtermBuilder.get();
    // The.Compound.the =
    // The.Compound.
    // //SoftCompoundBuilder.get();
    // CaffeineCompoundBuilder.get();
    float clockFPS = // agentFPS;
    narFPS;
    RealTime clock = clockFPS >= 10 / 2f ? /* nyquist threshold between decisecond (0.1) and centisecond (0.01) clock resolution */
    new RealTime.CS(true) : new RealTime.DSHalf(true);
    clock.durFPS(clockFPS);
    // Function<NAR, PrediTerm<Derivation>> deriver = Deriver.deriver(8
    // , "motivation.nal"
    // //., "relation_introduction.nal"
    // );
    // int THREADS = Math.max(1, Runtime.getRuntime().availableProcessors() - 1);
    // Predicate<Activate> randomBool = (a) -> ThreadLocalRandom.current().nextBoolean();
    // exe.add(new FocusExec(), (x) -> true);
    // exe.add(new FocusExec() {
    // {
    // concepts.setCapacity(32);
    // }
    // },
    // (x) -> true);
    NAR n = new NARS().exe(new WorkerMultiExec(// new Focus.DefaultRevaluator(),
    new Focus.AERevaluator(new XoRoShiRo128PlusRandom(1)), 256, 8192) {

        {
            Util.setExecutor(this);
        }
    }).time(clock).deriverAdd(1, 1).deriverAdd(2, 2).deriverAdd(3, 3).deriverAdd(5, 5).deriverAdd(6, 8).deriverAdd("motivation.nal").index(new CaffeineIndex(// 800 * 1024,
    2500 * 1024, // Integer.MAX_VALUE,
    c -> {
        return (int) Math.ceil(c.voluplexity());
    // return Math.round(
    // ((float)c.voluplexity())
    // / (1 + 100 * (c.termlinks().priSum() + c.tasklinks().priSum()))
    // //(c.beliefs().size() + c.goals().size()))
    // );
    })).get();
    // n.defaultWants();
    n.dtMergeOrChoose.set(true);
    // 0.5f //nyquist
    n.dtDither.set(1f);
    // n.timeFocus.set(4);
    n.confMin.set(0.01f);
    n.freqResolution.set(0.01f);
    n.termVolumeMax.set(40);
    n.beliefConfDefault.set(0.9f);
    n.goalConfDefault.set(0.9f);
    float priFactor = 0.2f;
    n.beliefPriDefault.set(1f * priFactor);
    n.goalPriDefault.set(1f * priFactor);
    n.questionPriDefault.set(1f * priFactor);
    n.questPriDefault.set(1f * priFactor);
    n.activationRate.set(0.5f);
    NAgent a = init.apply(n);
    // new RLBooster(a, HaiQAgent::new, 1);
    // //            @Override
    // //            protected long matchTime(Task task) {
    // //
    // //                //future lookahead to catalyze prediction
    // //                return n.time() +
    // //                        Util.sqr(n.random().nextInt(3)) * n.dur();
    // //
    // //            }
    // };
    // {
    // AgentBuilder b = MetaGoal.newController(a);
    // //                .in(a::dexterity)
    // //                .in(new FloatNormalized(()->a.reward).decay(0.9f))
    // //                .in(new FloatNormalized(
    // //                        ((Emotivation) n.emotion).cycleDTRealMean::getValue)
    // //                            .decay(0.9f)
    // //                )
    // b.in(new FloatNormalized(
    // //TODO use a Long-specific impl of this:
    // new FloatFirstOrderDifference(n::time, () -> n.emotion.deriveTask.getValue().longValue())
    // ).relax(0.99f))
    // //                .in(new FloatNormalized(
    // //                        //TODO use a Long-specific impl of this:
    // //                        new FirstOrderDifferenceFloat(n::time, () -> n.emotion.conceptFirePremises.getValue().longValue())
    // //                    ).decay(0.9f)
    // .in(new FloatNormalized(
    // () -> n.emotion.busyVol.getSum()
    // ).relax(0.99f))
    // .out(2, (onOff)->{
    // switch(onOff) {
    // case 0:
    // a.enabled.set(false); //pause
    // break;
    // case 1:
    // a.enabled.set(true); //un-pause
    // break;
    // }
    // })
    // //                ).out(
    // //                        new StepController((x) -> n.time.dur(Math.round(x)), 1, n.dur(), n.dur()*2)
    // //                .out(
    // //                        StepController.harmonic(n.confMin::set, 0.01f, 0.5f)
    // //                )//.out(
    // //                        StepController.harmonic(n.truthResolution::setValue, 0.01f, 0.08f)
    // //                ).out(
    // //                        StepController.harmonic(a.curiosity::setValue, 0.01f, 0.16f)
    // //                ).get(n);
    // 
    // ;
    // new AgentService(new MutableFloat(1), n, b.get());
    // }
    // n.dtMergeOrChoose.setValue(true);
    // STMLinkage stmLink = new STMLinkage(n, 1, false);
    // LinkClustering linkClusterPri = new LinkClustering(n, Prioritized::priElseZero /* anything temporal */,
    // 32, 128);
    // LinkClustering linkClusterConf = new LinkClustering(n, (t) -> t.isBeliefOrGoal() ? t.conf() : Float.NaN,
    // 4, 16);
    // SpaceGraph.window(col(
    // new STMView.BagClusterVis(n, linkClusterPri.bag),
    // new STMView.BagClusterVis(n, linkClusterConf.bag)
    // ), 800, 600);
    // ConjClustering conjClusterBinput = new ConjClustering(n, BELIEF, (Task::isInput), 8, 32);
    ConjClustering conjClusterBany = new ConjClustering(n, BELIEF, (t -> true), 8, 64);
    // ConjClustering conjClusterG = new ConjClustering(n, GOAL, (t -> true), 4, 16);
    // ArithmeticIntroduction arith = new ArithmeticIntroduction(4, n);
    // RelationClustering relCluster = new RelationClustering(n,
    // (t)->t.isBelief() && !t.isEternal() && !t.term().isTemporal() ? t.conf() : Float.NaN,
    // 8, 32);
    // ConjClustering conjClusterG = new ConjClustering(n, GOAL, (t->true),8, 32);
    // n.runLater(() -> {
    // //            AudioContext ac = new AudioContext();
    // //            ac.start();
    // //            Clock aclock = new Clock(ac, 1000f / (agentFPS * 0.5f));
    // //            new Metronome(aclock, n);
    // new VocalCommentary(null, a);
    // //ac.out.dependsOn(aclock);
    // });
    // /needs tryContent before its safe
    Inperience inp = new Inperience(n, 12);
    // 
    // Abbreviation abb = new Abbreviation(n, "z", 3, 6, 10f, 32);
    // reflect.ReflectSimilarToTaskTerm refSim = new reflect.ReflectSimilarToTaskTerm(16, n);
    // reflect.ReflectClonedTask refTask = new reflect.ReflectClonedTask(16, n);
    // a.trace = true;
    // n.onTask(t -> {
    // if (t instanceof DerivedTask)
    // System.out.println(t);
    // });
    // NInner nin = new NInner(n);
    // nin.start();
    // AgentService mc = MetaGoal.newController(a);
    // init();
    // n.onCycle(nn -> {
    // float lag = narLoop.lagSumThenClear() + a.running().lagSumThenClear();
    // //n.emotion.happy(-lag);
    // //n.emotion.happy(n.emotion.busyPri.getSum()/50000f);
    // });
    // new Anoncepts(8, n);
    // new Implier(2f, a,
    // 1
    // //0,1,4
    // );
    // 
    // window(new MatrixView(p.in, (x, gl) -> {
    // Draw.colorBipolar(gl, x);
    // return 0;
    // }), 100, 100);
    // get ready
    System.gc();
    n.runLater(() -> {
        chart(a);
        SpaceGraph.window(Vis.top(a.nar()), 800, 800);
        // window(new ConceptView(a.happy,n), 800, 600);
        n.on(a);
        // START AGENT
        Loop aLoop = a.runFPS(agentFPS);
    // n.runLater(() -> {
    // new Deriver(a.fire(), Derivers.deriver(6, 8,
    // "motivation.nal"
    // //, "goal_analogy.nal"
    // ).apply(n).deriver, n); //{
    // });
    });
    Loop loop = n.startFPS(narFPS);
    return n;
}

Example 2 with nars

use of nars in project narchy by automenta.

the class ExeCharts method metaGoalChart.

private static Surface metaGoalChart(NAgent a) {
    return new TreeChart<Cause>() {

        final DurService on;

        final FasterList<ItemVis<Cause>> cache = new FasterList();

        final Function<Cause, TreeChart.ItemVis<Cause>> builder = ((i) -> {
            short id = i.id;
            ItemVis<Cause> item;
            if (cache.capacity() - 1 < id)
                cache.ensureCapacity(id + 16);
            else {
                item = cache.get(id);
                if (item != null)
                    return item;
            }
            String str = i.toString();
            if (str.startsWith("class nars."))
                // skip default toString
                str = str.substring("class nars.".length());
            if (str.startsWith("class "))
                // skip default toString
                str = str.substring(5);
            item = new CauseVis(i, str);
            cache.set(id, item);
            return item;
        });

        {
            on = a.onFrame(() -> {
                update(a.nar().causes, (c, i) -> {
                    float v = c.value();
                    float r, g, b;
                    if (v < 0) {
                        r = 0.75f * Math.max(0.1f, Math.min(1f, -v));
                        g = 0;
                    } else {
                        g = 0.75f * Math.max(0.1f, Math.min(1f, +v));
                        r = 0;
                    }
                    float t = Util.sum(((FloatFunction<Traffic>) (p -> Math.abs(p.last))), c.goal);
                    b = Math.max(r, g) / 2f * Util.unitize(t);
                    i.update(v, r, g, b);
                // i.updateMomentum(
                // //0.01f + Util.sqr(Util.tanhFast(v)+1),
                // //Math.signum(v) *(1+Math.abs(v))*(t),
                // //Math.signum(v) * t,
                // v,
                // 0.25f,
                // r, g, b);
                }, builder);
            });
        }

        @Override
        public void stop() {
            super.stop();
            on.off();
        }
    };
}

Example 3 with nars

use of nars in project narchy by automenta.

the class ThermostatTest method main.

// @Test
// @Disabled
public static void main(String[] args) {
    // void test1() {
    // Param.DEBUG = true;
    final int DUR = 1;
    final int subTrainings = 2;
    // pause between episodes
    final int thinkDurs = 4;
    NAR n = NARS.tmp();
    n.time.dur(DUR);
    n.timeFocus.set(2);
    n.termVolumeMax.set(34);
    // n.freqResolution.set(0.05f);
    // n.confResolution.set(0.01f);
    n.activationRate.set(0.5f);
    n.goalPriDefault.set(1f);
    // n.forgetRate.set(2f);
    // n.deep.set(0.8);
    // n.emotion.want(MetaGoal.Desire, 0.2f);
    // n.want(MetaGoal.Believe, 0.1f);
    // n.want(MetaGoal.Perceive, -0.01f);
    float exeThresh = 0.51f;
    // new ArithmeticIntroduction(8, n);
    new ConjClustering(n, BELIEF, (t) -> true, 8, 32);
    // n.priDefault(BELIEF, 0.3f);
    // n.logPriMin(System.out, 0.5f);
    // n.logWhen(System.out, false, true, true);
    // n.log();
    boolean[] training = new boolean[] { true };
    Opjects op = new Opjects(n) {

        // {
        // pretend = true;
        // }
        @Override
        @Nullable
        protected synchronized Object invoked(Object obj, Method wrapped, Object[] args, Object result) {
            if (training[0]) {
                n.synch();
            // n.runLater(nn -> nn.run(DUR)); //queue some thinking cycles
            }
            Object y = super.invoked(obj, wrapped, args, result);
            if (training[0])
                n.run(DUR * thinkDurs);
            return y;
        }
    };
    Teacher<Thermostat> env = new Teacher<>(op, Thermostat.class);
    Consumer<Thermostat> hotToCold = Thermostat.change(true, false), coldToCold = Thermostat.change(false, false), coldToHot = Thermostat.change(false, true), hotToHot = Thermostat.change(true, true);
    Predicate<Thermostat> isCold = x -> x.is() == Thermostat.cold;
    Predicate<Thermostat> isHot = x -> x.is() == Thermostat.hot;
    n.logWhen(System.out, true, true, true);
    boolean stupid = true;
    training: do {
        training[0] = true;
        op.exeThresh.set(1f);
        for (int i = 0; i < subTrainings; i++) {
            for (Consumer<Thermostat> condition : new Consumer[] { hotToCold, coldToCold }) {
                System.out.println("EPISODE START");
                n.clear();
                env.teach("down", condition, (Thermostat x) -> {
                    // x.up(); //demonstrate no change
                    // x.report();
                    n.run(1);
                    while (x.is() > Thermostat.cold) {
                        x.down();
                        n.run(1);
                    }
                    x.report();
                    n.run(1);
                // x.down(); //demonstrate no change
                // x.report();
                }, isCold);
                System.out.println("EPISODE END");
                n.run(thinkDurs * n.dur());
            // n.concept("do(down)").print();
            }
            for (Consumer<Thermostat> condition : new Consumer[] { coldToHot, hotToHot }) {
                System.out.println("EPISODE START");
                n.clear();
                env.teach("up", condition, x -> {
                    // x.down(); //demonstrate no change
                    // x.report();
                    n.run(1);
                    while (!isHot.test(x)) {
                        x.up();
                        n.run(1);
                    }
                    x.report();
                    n.run(1);
                // x.up(); //demonstrate no change
                // x.report();
                }, isHot);
                System.out.println("EPISODE END");
                n.run(thinkDurs * n.dur());
            }
        }
        System.out.println("VALIDATING");
        System.out.println();
        training[0] = false;
        op.exeThresh.set(exeThresh);
        // n.log();
        // n.run(100);
        // new Implier(n, new float[] { 1f },
        // $.$("a_Thermostat(down,())"),
        // $.$("a_Thermostat(up,())")
        // //$.$("a_Thermostat(is,(),#x)")
        // );
        // try {
        // make cold
        // n.input(new NALTask($.$("a_Thermostat(should,(),0)"),
        // BELIEF, $.t(1f, 0.99f),
        // n.time(), n.time(), n.time()+1000,
        // n.time.nextInputStamp()).pri(1f));
        Thermostat t = env.x;
        {
            // n.clear();
            t.is(3);
            t.should(0);
            n.run(thinkDurs * n.dur());
            Term cold = $.$$("is(a_Thermostat,0)");
            // Term cold = $.$safe("(a_Thermostat(is,(),0) &| --a_Thermostat(is,(),3))");
            Term hot = $.$$("is(a_Thermostat,3)");
            Truth goalTruth = $.t(1f, 0.9f);
            DurService xPos = n.wantWhile(cold, goalTruth, new TaskConceptLogger(n, (w) -> (t.current != t.target)));
            DurService xNeg = n.wantWhile(hot, goalTruth.neg(), new TaskConceptLogger(n, (w) -> t.current != t.target));
            n.run(1);
            for (int i = 0; i < 16 && xPos.isOn(); i++) {
                int period = 100;
                // t.report();
                // n.run(period, pause);
                n.run(period);
            }
            xPos.off();
            xNeg.off();
            t.report();
            if (t.is() == t.should()) {
                System.out.println("good job nars!");
                n.believe($.$$("(learn(up) && learn(down))"), Tense.Present);
                stupid = false;
            } else {
                System.out.println("bad job nars! try again");
                n.believe($.$$("(--learn(up) && --learn(down))"), Tense.Present);
            }
        // n.input(new NALTask($.$safe("a_Thermostat(is,(),0)"),
        // GOAL, $.t(1f, 0.95f),
        // n.time(), n.time(), n.time() + periods,
        // n.time.nextInputStamp()).pri(1f));
        // n.input(new NALTask($.$safe("a_Thermostat(is,(),3)"),
        // GOAL, $.t(0f, 0.95f),
        // n.time(), n.time(), n.time() + periods,
        // n.time.nextInputStamp()).pri(1f));
        }
    } while (false);
    // n.run(thinkDurs * n.dur());
    {
    // n.input(new NALTask($.$safe("a_Thermostat(is,(),3)"),
    // GOAL, $.t(0f, 0.99f),
    // n.time(), n.time(), n.time()+1000,
    // n.time.nextInputStamp()).pri(1f));
    }
    // while (t.is() != t.should()) {
    // int period = 1000;
    // t.report();
    // n.run(period);
    // }
    n.tasks().forEach(t -> {
        if (!t.isInput())
            System.out.println(t);
    });
}