Examples with ConjClustering nars.op.stm.ConjClustering used on opensource projects

Example 1 with ConjClustering

use of nars.op.stm.ConjClustering in project narchy by automenta.

the class ConjClusteringTest method testSameTruthSameTime.

@Test
public void testSameTruthSameTime() throws Narsese.NarseseException {
    NAR n = NARS.shell();
    int ccap = 4;
    ConjClustering c = new ConjClustering(n, BELIEF, (t) -> t.isInput(), 4, ccap);
    n.log();
    for (int i = 0; i < ccap; i++) n.believe($.the("x" + i), Tense.Present);
    n.run(1);
    assertEquals(1, n.concept($.$("(&&,x0,x1,x2,x3)")).beliefs().size());
}

Example 2 with ConjClustering

use of nars.op.stm.ConjClustering in project narchy by automenta.

the class NARchy method ui.

public static NAR ui() {
    // u.forEach(System.out::println);
    // u.put("boot", new Date().toString());
    // Util.pause(100);
    // u.get("boot", (b)->{
    // System.out.println(b);
    // });
    NAR nar = new DefaultNAR(8, true).exe(new PoolMultiExec(/*WorkerMultiExec*/
    new Focus.AERevaluator(new XoRoShiRo128PlusRandom(1)), 512)).time(new RealTime.CS().durFPS(10f)).get();
    ConjClustering conjClusterB = new ConjClustering(nar, BELIEF, (Task::isInput), 16, 64);
    // ConjClustering conjClusterG = new ConjClustering(nar, GOAL, true, false, 16, 64);
    // auxiliary modules, load in background thread
    nar.runLater(() -> {
        User u = User.the();
        new NARAudio(nar);
        new NARVideo(nar);
        NARHear.readURL(nar);
        {
            NARSpeak s = new NARSpeak(nar);
            s.spoken.on(new NativeSpeechDispatcher()::speak);
        // new NativeSpeechDispatcher(s);
        }
    // //new NoteFS("/tmp/nal", nar);
    // InterNAR i = new InterNAR(nar, 8, 0);
    // i.recv.preAmp(0.1f);
    // i.runFPS(2);
    });
    return nar;
}

Example 3 with ConjClustering

use of nars.op.stm.ConjClustering in project narchy by automenta.

the class TrackXY method main.

public static void main(String[] args) {
    boolean nars = true;
    boolean rl = false;
    int dur = 1;
    NARS nb = new NARS().exe(new UniExec(64)).time(new CycleTime().dur(dur)).index(// new HijackConceptIndex(4 * 1024, 4)
    new CaffeineIndex(32 * 1024));
    NAR n = nb.get();
    n.termVolumeMax.set(20);
    // n.priDefault(BELIEF, 0.2f);
    // n.priDefault(GOAL, 0.5f);
    n.activationRate.set(0.2f);
    // n.forgetRate.set(0.9f);
    TrackXY t = new TrackXY(4, 4);
    n.on(t);
    int experimentTime = 8048;
    n.synch();
    if (rl) {
        new RLBooster(t, // HaiQ::new,
        HaiQae::new, // RandomAgent::new,
        1);
        t.curiosity.set(0);
    }
    if (nars) {
        // Param.DEBUG = true;
        // n.log();
        // for (String action : new String[]{"up", "down", "left", "right"}) {
        // //n.goal($.the(action), Tense.Present, 0f, 0.1f);
        // n.goal($.the(action), Tense.Present, 1f, 0.1f);
        // }
        Deriver d = new Deriver(Derivers.rules(// 1,
        1, 8, n, // "list.nal",
        "motivation.nal"), n);
        d.conceptsPerIteration.set(32);
        n.timeFocus.set(2);
        ConjClustering cjB = new ConjClustering(n, BELIEF, // (tt)->true,
        (tt) -> tt.isInput(), 4, 16);
        // ConjClustering cjG = new ConjClustering(n, GOAL,
        // (tt)->true,
        // //(tt) -> tt.isInput(),
        // 5, 16);
        // Implier ii = new Implier(t , 0, 1);
        // ArithmeticIntroduction ai = new ArithmeticIntroduction(4, n);
        window(new Gridding(new AutoSurface(d), new AutoSurface(cjB)), 400, 300);
        n.onTask(tt -> {
            if (tt instanceof DerivedTask && tt.isGoal()) {
                System.out.println(tt.proof());
            }
        });
    }
    // n.log();
    // n.startFPS(fps);
    // t.runFPS(fps);
    n.onCycle(t);
    final double[] rewardSum = { 0 };
    n.onCycle(() -> {
        rewardSum[0] += t.reward;
    });
    n.runLater(() -> {
        window(Vis.top(n), 800, 250);
        NAgentX.chart(t);
        window(new CameraSensorView(t.cam, n) {

            @Override
            protected void paint(GL2 gl, int dtMS) {
                super.paint(gl, dtMS);
                RectFloat2D at = cellRect(t.sx, t.sy, 0.5f, 0.5f);
                gl.glColor4f(1, 0, 0, 0.9f);
                Draw.rect(gl, at.move(x(), y(), 0.01f));
            }
        }.withControls(), 800, 800);
    });
    n.run(experimentTime);
// n.startFPS(10f);
// t.runFPS(10f);
// System.out.println(
// 
// n4(rewardSum[0] / n.time()) + " avg reward");
// System.exit(0);
}

Example 4 with ConjClustering

use of nars.op.stm.ConjClustering 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 5 with ConjClustering

use of nars.op.stm.ConjClustering in project narchy by automenta.

the class ConjClusteringTest method testNeg.

@Test
public void testNeg() throws Narsese.NarseseException {
    NAR n = NARS.shell();
    int ccap = 4;
    ConjClustering c = new ConjClustering(n, BELIEF, (t) -> t.isInput(), 4, ccap);
    n.log();
    for (int i = 0; i < ccap; i++) n.believe($.the("x" + i).neg(), Tense.Present);
    n.run(1);
    assertEquals(1, n.concept($.$("(&&,(--,x0),(--,x1),(--,x2),(--,x3))")).beliefs().size());
}