Examples with NAR nars.NAR used on opensource projects

Example 96 with NAR

use of nars.NAR in project narchy by automenta.

the class TrieDeriverTest method test.

public TestNAR test(int tlMax, boolean debug, String... rules) {
    NAR n = new NARS().deriverAddRules(rules).get();
    TestNAR t = new TestNAR(n);
    tests.add(t);
    return t;
}

Example 97 with NAR

use of nars.NAR in project narchy by automenta.

the class PatrickTests method testConditioningWithoutAnticipation.

/**
 * TODO
 */
@Disabled
@Test
public void testConditioningWithoutAnticipation() throws Narsese.NarseseException {
    /*
        <a --> A>. :|: <b --> B>. :|: %0% <c --> C>. %0%
        8
        <b --> B>. :|: <a --> A>. :|: %0% <c --> C>. %0%
        8
        <c --> C>. :|: <a --> a>. :|: %0% <b --> B>. %0%
        8
        <a --> A>. :|: <b --> B>. :|: %0% <c --> C>. %0%
        100
        <b --> B>. :|: <a --> A>. :|: %0% <c --> C>. %0%
        100
        <?1 =/> <c --> C>>? //this line needs to be translated to NARchy syntax

        Expected result: (also in OpenNARS syntax)
        For appropriate Interval term "time", "time2",
        <(&/,<a --> A>,time) =/> <c --> C>>.
        and
        <(&/,<b --> B>,time) =/> <c --> C>>.
        needs to be reduced in frequency, making
        <(&/,<a --> A>,time,<b --> B>,time2) =/> <c --> C>>.
        the strongest hypothesis based on the last two inputs where neither a nor b "leaded to" c.
         */
    NAR n = NARS.tmp();
    n.beliefPriDefault.set(0.01f);
    n.termVolumeMax.set(16);
    // n.log();
    n.inputAt(0, "  A:a. :|:    --B:b. :|:    --C:c. :|:");
    n.inputAt(8, "  B:b. :|:    --A:a. :|:    --C:c. :|:");
    n.inputAt(16, "  C:c. :|:    --A:a. :|:    --B:b. :|:");
    n.inputAt(24, "  A:a. :|:    --B:b. :|:    --C:c. :|:");
    n.inputAt(124, "  B:b. :|:    --A:a. :|:    --C:c. :|:");
    n.run(224);
    n.clear();
    n.input("       $0.9 (?x ==>   C:c)?");
    // n.input("       $0.9;0.9$ (?x ==>+8 C:c)?");
    // n.input("       $0.9;0.9$ ((A:a && B:b) ==> C:c)?");
    // n.input("       $0.9;0.9$ ((A:a && B:b) ==> C:c)? :|:");
    n.run(2000);
/*
        Expected result: (also in OpenNARS syntax)
        For appropriate Interval term "time", "time2",
        <(&/,<a --> A>,time) =/> <c --> C>>.
        and
        <(&/,<b --> B>,time) =/> <c --> C>>.
        needs to be reduced in frequency, making
        <(&/,<a --> A>,time,<b --> B>,time2) =/> <c --> C>>.
        the strongest hypothesis based on the last two inputs where neither a nor b "leaded to" c.
         */
}

Example 98 with NAR

use of nars.NAR in project narchy by automenta.

the class PatrickTests method testPixelImage.

/**
 * TODO
 */
@Test
@Disabled
public void testPixelImage() throws Narsese.NarseseException {
    // this.activeTasks = activeTasks;
    NAR n = NARS.tmp();
    // n.log();
    // n.truthResolution.setValue(0.05f);
    n.termVolumeMax.set(60);
    n.beliefPriDefault.set(0.05f);
    n.questionPriDefault.set(0.9f);
    // assume that unless pixel isnt specified then it's black
    n.input("<#x --> P>. %0.0;0.25%");
    // to what extent was
    // |          |
    // |    ██    |
    // |  ██████  |
    // |    ██    |
    // |          |
    // observed in experience?
    // imperfectly observed pattern
    // |      ░░  |
    // |    ▓▓    |
    // |░░▓▓██    |
    // |    ▒▒  ░░|
    // |      ░░  |
    String image1 = "<p_1_1 --> P>. :|: %0.5;0.9%\n" + "<p_1_2 --> P>. :|: %0.5;0.9%\n" + "<p_1_3 --> P>. :|: %0.6;0.9%\n" + "<p_1_4 --> P>. :|: %0.6;0.9%\n" + "<p_1_5 --> P>. :|: %0.5;0.9%\n" + "<p_2_1 --> P>. :|: %0.5;0.9%\n" + "<p_2_2 --> P>. :|: %0.5;0.9%\n" + "<p_2_3 --> P>. :|: %0.8;0.9%\n" + "<p_2_4 --> P>. :|: %0.5;0.9%\n" + "<p_2_5 --> P>. :|: %0.5;0.9%\n" + "<p_3_1 --> P>. :|: %0.6;0.9%\n" + "<p_3_2 --> P>. :|: %0.8;0.9%\n" + "<p_3_3 --> P>. :|: %0.9;0.9%\n" + "<p_3_4 --> P>. :|: %0.5;0.9%\n" + "<p_3_5 --> P>. :|: %0.5;0.9%\n" + "<p_4_1 --> P>. :|: %0.5;0.9%\n" + "<p_4_2 --> P>. :|: %0.5;0.9%\n" + "<p_4_3 --> P>. :|: %0.7;0.9%\n" + "<p_5_4 --> P>. :|: %0.6;0.9%\n" + "<p_4_4 --> P>. :|: %0.5;0.9%\n" + "<p_4_5 --> P>. :|: %0.6;0.9%\n" + "<p_5_1 --> P>. :|: %0.5;0.9%\n" + "<p_5_2 --> P>. :|: %0.5;0.9%\n" + "<p_5_3 --> P>. :|: %0.5;0.9%\n" + "<p_5_5 --> P>. :|: %0.5;0.9%\n" + "<example1 --> name>. :|:";
    n.input(image1.split("\n"));
    // (&|,<p_2_3 --> pixel>,<p_3_2 --> pixel>,<p_3_3 --> pixel>,<p_3_4 --> pixel>,<p_4_3 --> pixel>,<example1 --> name>)?\n" +
    // for (int i = 0; i < 2; i++) {
    n.question($.parallel($("P:p_2_3"), $("P:p_3_2"), $("P:p_3_4"), $("P:p_4_3"), $("name:example1")));
    // }
    // Answer (&|,<example1 --> name>,<p_2_3 --> pixel>,<p_3_2 --> pixel>,<p_3_3 --> pixel>,<p_3_4 --> pixel>,<p_4_3 --> pixel>). :-1: %0.80;0.16%
    // ex: (&&,(example1-->name),(p_2_3-->pixel),(p_3_2-->pixel),(p_3_4-->pixel),(p_4_3-->pixel)). %.61;.06%"".
    n.run(6000);
    n.clear();
    // imperfectly observed pattern
    // |      ░░  |
    // |    ▓▓    |
    // |░░    ▓▓  |
    // |    ▒▒  ░░|
    // |      ░░  |
    String image2 = "<p_1_1 --> pixel>. :|: %0.5;0.9%\n" + "<p_1_2 --> pixel>. :|: %0.5;0.9%\n" + "<p_1_3 --> pixel>. :|: %0.6;0.9%\n" + "<p_1_4 --> pixel>. :|: %0.6;0.9%\n" + "<p_1_5 --> pixel>. :|: %0.5;0.9%\n" + "<p_2_1 --> pixel>. :|: %0.5;0.9%\n" + "<p_2_2 --> pixel>. :|: %0.5;0.9%\n" + "<p_2_3 --> pixel>. :|: %0.8;0.9%\n" + "<p_2_4 --> pixel>. :|: %0.5;0.9%\n" + "<p_2_5 --> pixel>. :|: %0.5;0.9%\n" + "<p_3_1 --> pixel>. :|: %0.6;0.9%\n" + "<p_3_2 --> pixel>. :|: %0.5;0.9%\n" + "<p_3_3 --> pixel>. :|: %0.5;0.9%\n" + "<p_3_4 --> pixel>. :|: %0.8;0.9%\n" + "<p_3_5 --> pixel>. :|: %0.5;0.9%\n" + "<p_4_1 --> pixel>. :|: %0.5;0.9%\n" + "<p_4_2 --> pixel>. :|: %0.5;0.9%\n" + "<p_4_3 --> pixel>. :|: %0.7;0.9%\n" + "<p_5_4 --> pixel>. :|: %0.6;0.9%\n" + "<p_4_4 --> pixel>. :|: %0.5;0.9%\n" + "<p_4_5 --> pixel>. :|: %0.6;0.9%\n" + "<p_5_1 --> pixel>. :|: %0.5;0.9%\n" + "<p_5_2 --> pixel>. :|: %0.5;0.9%\n" + "<p_5_3 --> pixel>. :|: %0.5;0.9%\n" + "<p_5_5 --> pixel>. :|: %0.5;0.9%\n" + "<example2 --> name>. :|:";
    n.input(image2.split("\n"));
    // (&|,<p_2_3 --> pixel>,<p_3_2 --> pixel>,<p_3_3 --> pixel>,<p_3_4 --> pixel>,<p_4_3 --> pixel>,<example2 --> name>)?
    // for (int i = 0; i < 8; i++) {
    n.question($.parallel($("P:p_2_3"), $("P:p_3_2"), $("P:p_3_3"), $("P:p_3_4"), $("P:p_4_3"), $("name:example2")));
    n.run(6000);
// }
// Answer (&|,<example2 --> name>,<p_2_3 --> pixel>,<p_3_2 --> pixel>,<p_3_3 --> pixel>,<p_3_4 --> pixel>,<p_4_3 --> pixel>). %0.50;0.40%
}

Example 99 with NAR

use of nars.NAR in project narchy by automenta.

the class NAL1MultistepTest method nar.

@Override
protected NAR nar() {
    NAR n = NARS.tmp(6);
    n.termVolumeMax.set(6);
    n.freqResolution.set(0.2f);
    n.confResolution.set(0.1f);
    return n;
}

Example 100 with NAR

use of nars.NAR in project narchy by automenta.

the class NARServiceTest method testRemoveDurServiceWhenOff.

@Test
public void testRemoveDurServiceWhenOff() {
    NAR n = NARS.shell();
    Set<Service<NAR>> before = n.services.stream().collect(toSet());
    DurService d = DurService.on(n, () -> {
    // nothing
    });
    n.synch();
    Set<Service<NAR>> during = n.services.stream().collect(toSet());
    d.off();
    n.synch();
    Set<Service<NAR>> after = n.services.stream().collect(toSet());
    assertEquals(before, after);
    assertEquals(before.size() + 1, during.size());
}