Examples with DerivationContext nars.control.DerivationContext used on opensource projects

Example 1 with DerivationContext

use of nars.control.DerivationContext in project opennars by opennars.

the class GlobalAnticipation method event.

@Override
public void event(Class event, Object[] args) {
    if (event == Events.TaskDerive.class) {
        Task derivedTask = (Task) args[0];
        if (derivedTask.sentence.term instanceof Implication && (((Implication) derivedTask.sentence.term).getTemporalOrder() == TemporalRules.ORDER_FORWARD || ((Implication) derivedTask.sentence.term).getTemporalOrder() == TemporalRules.ORDER_CONCURRENT)) {
            if (!current_tasks.contains(derivedTask)) {
                current_tasks.add(derivedTask);
            }
        }
    } else if (event == Events.ConceptBeliefRemove.class) {
        // task is 3nd
        Task removedTask = (Task) args[2];
        if (current_tasks.contains(removedTask)) {
            current_tasks.remove(removedTask);
        }
    } else if (event == Events.InduceSucceedingEvent.class) {
        Task newEvent = (Task) args[0];
        DerivationContext nal = (DerivationContext) args[1];
        if (newEvent.sentence.truth != null) {
            stm.add(newEvent);
            while (stm.size() > MatchUpTo) {
                stm.removeFirst();
            }
        }
        temporalPredictionsAdapt(nal);
    }
}

Example 2 with DerivationContext

use of nars.control.DerivationContext in project opennars by opennars.

the class ConcatVisionChannel method step_start.

@Override
public void step_start() {
    Position samplePos = sampling.get(0);
    Task current = inputs[samplePos.Y][samplePos.X];
    int k = 0;
    for (int i = 1; i < sampling.size(); i++) {
        Position samplePos2 = sampling.get(i);
        Task prem2 = inputs[samplePos2.Y][samplePos2.X];
        List<Task> seq = proceedWithTemporalInduction(current.sentence, prem2.sentence, prem2, new DerivationContext(nar.memory), true, false, true);
        if (seq != null) {
            for (Task t : seq) {
                if (!t.sentence.isEternal()) {
                    // TODO improve API, this check should not be necessary
                    current = t;
                    break;
                }
            }
        }
        k++;
    }
    System.out.println(k);
    System.out.println(current);
    // feeds results into "upper" sensory channels:
    this.results.add(current);
    this.step_finished();
}

Example 3 with DerivationContext

use of nars.control.DerivationContext in project opennars by opennars.

the class Consider method execute.

/**
 * To activate a concept as if a question has been asked about it
 *
 * @param args Arguments, a Statement followed by an optional tense
 * @param memory The memory in which the operation is executed
 * @return Immediate results as Tasks
 */
@Override
protected ArrayList<Task> execute(Operation operation, Term[] args, Memory memory) {
    Term term = args[1];
    Concept concept = memory.conceptualize(Consider.budgetMentalConcept(operation), term);
    DerivationContext cont = new DerivationContext(memory);
    cont.setCurrentConcept(concept);
    GeneralInferenceControl.fireConcept(cont, 1);
    return null;
}

Example 4 with DerivationContext

use of nars.control.DerivationContext in project opennars by opennars.

the class Memory method localInference.

public void localInference(Task task) {
    DerivationContext cont = new DerivationContext(this);
    cont.setCurrentTask(task);
    cont.setCurrentTerm(task.getTerm());
    cont.setCurrentConcept(conceptualize(task.budget, cont.getCurrentTerm()));
    if (cont.getCurrentConcept() != null) {
        boolean processed = ConceptProcessing.processTask(cont.getCurrentConcept(), cont, task);
        if (processed) {
            event.emit(Events.ConceptDirectProcessedTask.class, task);
        }
    }
    if (!task.sentence.isEternal() && !(task.sentence.term instanceof Operation)) {
        TemporalInferenceControl.eventInference(task, cont);
    }
    // memory.logic.TASK_IMMEDIATE_PROCESS.commit();
    emit(Events.TaskImmediateProcess.class, task, cont);
}

Example 5 with DerivationContext

use of nars.control.DerivationContext in project opennars by opennars.

the class SpatialSamplingVisionChannel method step_start.

@Override
public void step_start() {
    int ind = nar.memory.randomNumber.nextInt(sampling.size());
    Position samplePos = sampling.get(ind);
    Task sampled = spatialbag[samplePos.Y][samplePos.X].takeNext();
    // Todo improve API, channel should not need to know where in the array x and y size is
    // spatial biased random sampling:
    int ind2 = nar.memory.randomNumber.nextInt(sampling.size());
    int s2posY = sampling.get(ind2).Y;
    int s2posX = sampling.get(ind2).X;
    if (spatialbag[s2posY][s2posX] != null) {
        Task sampled2 = spatialbag[s2posY][s2posX].takeNext();
        if (sampled2 != null) {
            // improve API, carrying out temporal inference should be easier..
            List<Task> seq = proceedWithTemporalInduction(sampled.sentence, sampled2.sentence, sampled2, new DerivationContext(nar.memory), true, false, true);
            if (seq != null) {
                for (Task t : seq) {
                    if (!t.sentence.isEternal()) {
                        // TODO improve API, this check should not be necessary
                        AddToSpatialBag(t);
                        this.results.add(t);
                    }
                }
            }
            // todo improve API, putting an element bag should be easy
            spatialbag[s2posY][s2posX].putBack(sampled2, nar.memory.cycles(nar.memory.param.conceptForgetDurations), nar.memory);
        }
    }
    spatialbag[samplePos.Y][samplePos.X].putBack(sampled, nar.memory.cycles(nar.memory.param.conceptForgetDurations), nar.memory);
    // feeds results into "upper" sensory channels:
    this.step_finished();
}