Source Code Cross Referenced for ResolutionInferenceEngine4.java in  » Rule-Engine » Mandarax » org » mandarax » reference » Java Source Code / Java DocumentationJava Source Code and Java Documentation

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Java Source Code / Java Documentation » Rule Engine » Mandarax » org.mandarax.reference 
Source Cross Referenced  Class Diagram Java Document (Java Doc) 


001:        package org.mandarax.reference;
002:
003:        /*
004:         * Copyright (C) 1999-2004 <a href="mailto:jens.dietrich@unforgettable.com">Jens Dietrich</a>
005:         *
006:         * This library is free software; you can redistribute it and/or
007:         * modify it under the terms of the GNU Lesser General Public
008:         * License as published by the Free Software Foundation; either
009:         * version 2 of the License, or (at your option) any later version.
010:         *
011:         * This library is distributed in the hope that it will be useful,
012:         * but WITHOUT ANY WARRANTY; without even the implied warranty of
013:         * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
014:         * Lesser General Public License for more details.
015:         *
016:         * You should have received a copy of the GNU Lesser General Public
017:         * License along with this library; if not, write to the Free Software
018:         * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
019:         */
020:        import java.util.*;
021:        import org.mandarax.kernel.*;
022:        import org.mandarax.lib.Cut;
023:        import org.mandarax.util.ClauseIterator;
024:
025:        /**
026:         * Implementation of an inference engine returning many results.
027:         * Negation and cut are supported.
028:         * @author <A HREF="mailto:jens.dietrich@unforgettable.com">Jens Dietrich</A>, <A HREF="mailto:a.kozlenkov@city.ac.uk">Alexander Kozlenkov</A>
029:         * @version 3.4 <7 March 05>
030:         * @since 2.1
031:         * Prova re-integration modifications
032:         * @author <A HREF="mailto:a.kozlenkov@city.ac.uk">Alex Kozlenkov</A>
033:         * @version 3.4 <7 March 05>
034:         */
035:        public final class ResolutionInferenceEngine4 extends
036:                AbstractResolutionInferenceEngine {
037:
038:            /**
039:             * Constructor.
040:             */
041:            public ResolutionInferenceEngine4() {
042:                super ();
043:            }
044:
045:            /**
046:             * Get the feature descriptions.
047:             * @return the feature descriptions
048:             */
049:            public InferenceEngineFeatureDescriptions getFeatureDescriptions() {
050:                if (featureDescriptions == null) {
051:                    featureDescriptions = new InferenceEngineFeatureDescriptions() {
052:                        protected void initialize() {
053:                            super .initialize();
054:                            this .supported
055:                                    .add(InferenceEngineFeatureDescriptions.LOOP_CHECKS);
056:                            this .supported
057:                                    .add(InferenceEngineFeatureDescriptions.MULTIPLE_RESULTS);
058:                            this .supported
059:                                    .add(InferenceEngineFeatureDescriptions.NEGATION_AS_FAILURE);
060:                            this .supported
061:                                    .add(InferenceEngineFeatureDescriptions.CUT);
062:                            this .supported
063:                                    .add(InferenceEngineFeatureDescriptions.DERIVATION_EVENT_LISTENERS);
064:                        }
065:
066:                    };
067:                }
068:                return featureDescriptions;
069:            }
070:
071:            /**
072:             * Try to proof a goal.
073:             * @return a derivation node
074:             * @param goal - the goal that has to be proved
075:             * @param constraintPool - a vector of constraints
076:             * @param queryVariables - a list of query variables
077:             * @param kb - the knowledge base used
078:             * @param counter - the proof step counter
079:             * @param renameVariables  a variable renaming
080:             * @param logEnabled - indicates whether we must log this proof step
081:             * @param results - the list collecting the results
082:             * @param appliedClauses - a list of all clauses applied so far (used to detect loops)
083:             * @param exceptionHandlingStrategy - an integer decoding the exception handling strategy when fetching and resolving
084:             * 			ClauseSetExceptions
085:             * @param cardinalityConstraint - the cardinality constraint specifying the number of results we are looking for
086:             * @param listeners the derivation listeners
087:             * @param session a session object
088:             * @throws InferenceException
089:             */
090:            private DerivationNodeImpl proof(Clause goal, List constraintPool,
091:                    DerivationStepCounter counter,
092:                    VariableRenaming renameVariables, boolean logEnabled,
093:                    List appliedClauses, List results, SessionImpl session)
094:                    throws InferenceException {
095:
096:                int exceptionHandlingStrategy = session
097:                        .getExceptionHandlingStrategy();
098:                int cardinalityConstraint = session.getCardinalityContraint();
099:                org.mandarax.kernel.KnowledgeBase kb = session
100:                        .getKnowledgeBase();
101:
102:                // make sure that the session is uptodate
103:                session.update(renameVariables.getAllRenamings(),
104:                        constraintPool);
105:
106:                // for performance reasons we want to minimize checks whether log is
107:                // enabled. On the other hand, we would like to switch log on / off
108:                // during a proof (e.g., to analyse a long proof). This implementation
109:                // checks the respective log category every 10 steps
110:                boolean logOn = (counter.count % 10 == 0) ? LOG_IE_STEP
111:                        .isDebugEnabled() : logEnabled;
112:                DerivationNodeImpl node = new DerivationNodeImpl();
113:                node.setId(counter.next());
114:                // node.supportedSolution = results.size();
115:                DerivationNodeImpl nextNode = null;
116:
117:                if (logOn) {
118:                    LOG_IE_STEP.debug("PROOF STEP "
119:                            + String.valueOf(counter.count));
120:                    LOG_IE_STEP.debug("Goal       : " + goal.toString());
121:                }
122:
123:                // check for cut
124:                // System.out.println("Goal before: " + goal.toString());
125:                checkCut(node, goal);
126:                // System.out.println("Goal after : " + goal.toString());
127:
128:                // try to remove clauses using the object semantics
129:                goal = performSemanticalEvaluation(goal, session, logOn);
130:
131:                if (goal == null) {
132:                    node.setFailed(true);
133:                    return node;
134:                }
135:
136:                // check for negation (NAF)
137:                goal = proofNAFClauses(goal, kb, logOn,
138:                        exceptionHandlingStrategy, cardinalityConstraint);
139:                if (goal == null) {
140:                    node.setFailed(true);
141:                    return node;
142:                }
143:
144:                if (logOn) {
145:                    LOG_IE_STEP.debug("Goal (semantic,NAF,CUT check done): "
146:                            + goal.toString());
147:                }
148:
149:                // check whether the max proof length has been reached
150:                if (counter.count >= MAXSTEPS) {
151:                    if (logOn) {
152:                        LOG_IE_STEP
153:                                .debug("Maximum number of steps reached, stop here !");
154:                    }
155:                    return node;
156:                }
157:
158:                // if the goal is the empty clause, return success
159:                if (goal.isEmpty()) {
160:                    if (logOn) {
161:                        LOG_IE_STEP.debug("Derivation successful !");
162:                    }
163:                    results.add(node);
164:                    // new in 3.2: notify listener
165:                    notifyListenersOnResult(session, logOn);
166:
167:                    node.setResultNode(true);
168:                    node.setSupported(results.size() - 1);
169:                    node.setFailed(false);
170:                    // check whether we have enough results
171:                    if (cardinalityConstraint != ALL) {
172:                        node
173:                                .setLastNode((results.size() >= cardinalityConstraint));
174:                    }
175:                    return node;
176:                }
177:                String goalPredicateName = ((Fact) goal.getNegativeLiterals()
178:                        .get(0)).getPredicate().getName();
179:
180:                // check for the next clause to continue. Try resolution.
181:                try {
182:
183:                    ClauseIterator e = kb.clauses(goal, null);
184:                    boolean useClause = true;
185:                    while ((nextNode == null || !nextNode.isCut())
186:                            && e.hasMoreClauses()
187:                            && (cardinalityConstraint == ALL || results.size() < cardinalityConstraint)) {
188:                        useClause = true;
189:                        Resolution r = null;
190:                        Clause c = null;
191:                        Clause workCopy = null;
192:                        try {
193:                            c = e.nextClause();
194:                            workCopy = renameVariables.cloneAndRenameVars(c);
195:                            recordCut(node.getId(), workCopy);
196:                        } catch (ClauseSetException x) {
197:                            String msg = "Exception fetching clause from iterator for "
198:                                    + goal;
199:                            LOG_IE_STEP.error(msg, x);
200:                            // depending on the exception handling strategy we forward the exception or carry on
201:                            if (exceptionHandlingStrategy == BUBBLE_EXCEPTIONS)
202:                                throw new InferenceException(msg, x);
203:                            useClause = false;
204:                        }
205:                        if (useClause
206:                                && (r = Resolution.resolve(workCopy, goal,
207:                                        unificationAlgorithm, selectionPolicy,
208:                                        session)) != null) {
209:                            appliedClauses.add(c);
210:
211:                            if (loopCheckingAlgorithm
212:                                    .isInfiniteLoop(appliedClauses)) {
213:                                if (logOn) {
214:                                    LOG_IE_STEP
215:                                            .debug("LoopChecking Algorithm "
216:                                                    + loopCheckingAlgorithm
217:                                                    + " has detected a loop! Try to continue with next clause");
218:                                }
219:                            } else {
220:                                // log
221:                                if (logOn) {
222:                                    LOG_IE_STEP
223:                                            .debug("Can apply the following rule:");
224:                                    LOG_IE_STEP.debug("Clause     : "
225:                                            + c.toString());
226:                                    LOG_IE_STEP.debug("Clause (rn): "
227:                                            + workCopy.toString());
228:
229:                                    // log unification
230:                                    Replacement nextReplacement = null;
231:
232:                                    for (Iterator er = r.unification.replacements
233:                                            .iterator(); er.hasNext();) {
234:                                        nextReplacement = (Replacement) er
235:                                                .next();
236:                                        LOG_IE_STEP.debug("unify      : "
237:                                                + nextReplacement.original
238:                                                        .toString()
239:                                                + " -> "
240:                                                + nextReplacement.replacement
241:                                                        .toString());
242:                                    }
243:                                }
244:
245:                                // build a new subgoal
246:                                Clause nextGoal = getNextGoal(workCopy, goal, r);
247:
248:                                // build a new constraint pool for the next step
249:                                List nextConstraintPool = getNextConstraintPool(
250:                                        constraintPool, r);
251:
252:                                // apply constraints
253:                                nextGoal = nextGoal.apply(nextConstraintPool);
254:
255:                                // rename variables in the subgoal
256:                                nextGoal = renameVariables
257:                                        .cloneAndRenameVars(nextGoal);
258:
259:                                // keep the renamed var here, otherwise they get overridden in the recursion
260:                                Hashtable renamed = renameVariables
261:                                        .getRecentRenamings();
262:
263:                                // log renamings
264:                                if (logOn) {
265:                                    Object nextRenaming = null;
266:
267:                                    for (Enumeration er = renamed.keys(); er
268:                                            .hasMoreElements();) {
269:                                        nextRenaming = er.nextElement();
270:                                        LOG_IE_STEP.debug("rename     : "
271:                                                + nextRenaming.toString()
272:                                                + " -> "
273:                                                + renamed.get(nextRenaming)
274:                                                        .toString());
275:                                    }
276:                                }
277:
278:                                // proof the new subgoal
279:                                nextNode = proof(nextGoal, nextConstraintPool,
280:                                        counter, renameVariables, logOn,
281:                                        appliedClauses, results, session);
282:
283:                                nextNode.setQuery(goal);
284:                                nextNode.setAppliedClause(c);
285:
286:                                // register the subnode
287:                                node.addSubNode(nextNode);
288:
289:                                if (nextNode.isCut() && logOn) {
290:                                    LOG_IE_STEP
291:                                            .debug("Cut encountered - prune derivation tree here!");
292:                                }
293:
294:                                if (!nextNode.isFailed()) {
295:                                    // add renamings and unification
296:                                    nextNode.varRenamings = renamed;
297:                                    nextNode.setUnification(r.unification);
298:                                }
299:                            }
300:                        } else {
301:                            if (logOn) {
302:                                LOG_IE_STEP
303:                                        .debug("Cannot apply the following rule:");
304:                                LOG_IE_STEP.debug("Clause     : "
305:                                        + c.toString());
306:                                LOG_IE_STEP.debug("Clause (rn): "
307:                                        + workCopy.toString());
308:                            }
309:                        }
310:                    }
311:                    // release resources!
312:                    e.close();
313:                } catch (ClauseSetException x) {
314:                    String msg = "Exception getting clause iterator for "
315:                            + goal;
316:                    LOG_IE_STEP.error(msg, x);
317:                    if (exceptionHandlingStrategy == BUBBLE_EXCEPTIONS)
318:                        throw new InferenceException(msg, x);
319:                }
320:                if ((nextNode == null) || nextNode.isFailed()) {
321:                    List l = node.getSubNodes();
322:                    int n = l.size();
323:                    boolean result = true;
324:                    for (int i = 0; i < n; i++) {
325:                        result = result
326:                                && ((DerivationNodeImpl) l.get(i)).isFailed();
327:                        node.setFailed(result);
328:                    }
329:                    // new in 1.9.2
330:                    node.setFailed(result);
331:                }
332:                if (node != null) {
333:                    boolean nextCut = (nextNode != null)
334:                            && nextNode.isCut()
335:                            && !(nextNode.getCutPredicate()
336:                                    .equals(goalPredicateName));
337:                    node.setCut(node.isCut() || nextCut);
338:                    if (nextCut && node.isCut()) {
339:                        // The cut level that survived up to here from deeper calls takes precedence
340:                        node.setCutPredicate(nextNode.getCutPredicate());
341:                    }
342:                }
343:                return node;
344:            }
345:
346:            /**
347:             * Try to proof prereqs. If the proof succeeds, remove them from the goal.
348:             * If the proof fails, return null.
349:             * @param goal a goal
350:             * @param kb - the knowledge base used
351:             * @param logOn - indicates whether we must log this proof step
352:             * @param exceptionHandlingStrategy - an integer decoding the exception handling strategy when fetching and resolving
353:             * 			ClauseSetExceptions
354:             * @param cardinalityConstraint - the cardinality constraint specifying the number of results we are looking for
355:             * @return the new goal
356:             */
357:            private Clause proofNAFClauses(Clause goal,
358:                    org.mandarax.kernel.KnowledgeBase kb, boolean logOn,
359:                    int exceptionHandlingStrategy, int cardinalityConstraint)
360:                    throws InferenceException {
361:                Fact literal = null;
362:                for (Iterator it = goal.getNegativeLiterals().iterator(); it
363:                        .hasNext();) {
364:                    literal = (Fact) it.next();
365:                    if (literal.isNegatedAF() && !IEUtils.containsVars(literal)) {
366:                        if (logOn)
367:                            LOG_IE.debug("Evaluate NAF " + literal);
368:                        // build new query
369:                        Query query = LogicFactory.getDefaultFactory()
370:                                .createQuery(
371:                                        LogicFactory.getDefaultFactory()
372:                                                .createFact(
373:                                                        literal.getPredicate(),
374:                                                        literal.getTerms()),
375:                                        "Query to proof NAF in " + literal);
376:                        // issue query
377:                        boolean proved = false;
378:                        try {
379:                            ResultSet rs = this .query(query, kb,
380:                                    cardinalityConstraint,
381:                                    exceptionHandlingStrategy);
382:                            proved = !rs.next();
383:                        } catch (InferenceException x) {
384:                            LOG_IE_STEP.error("Error proofing NAF: " + literal,
385:                                    x);
386:                            if (exceptionHandlingStrategy == BUBBLE_EXCEPTIONS)
387:                                throw x;
388:                            else {
389:                                // assume failure proofs NAF !
390:                                LOG_IE_STEP
391:                                        .debug("Assume error means failure and verifies NAF "
392:                                                + literal);
393:                                proved = true;
394:                            }
395:                        }
396:                        // remove if proved
397:                        if (proved) {
398:                            LOG_IE_STEP.debug("Remove from list " + literal);
399:                            it.remove();
400:                        } else {
401:                            LOG_IE_STEP.debug("Cannot prove " + literal
402:                                    + " (unnegated fact is provable)");
403:                            return null;
404:                        }
405:                    }
406:                }
407:                return goal;
408:            }
409:
410:            /**
411:             * Answer a query, retrieve (multiple different) result.
412:             * The cardinality contraints describe how many results should be computed. It is either
413:             * <ol>
414:             * <li> <code>ONE</code> - indicating that only one answer is expected
415:             * <li> <code>ALL</code> - indicating that all answers should be computed
416:             * <li> <code>an integer value greater than 0 indicating that this number of results expected
417:             * </ol>
418:             * @see #ONE
419:             * @see #ALL
420:             * @return the result set of the query
421:             * @param query the query clause
422:             * @param kb the knowledge base used to answer the query
423:             * @param aCardinalityConstraint the number of results expected
424:             * @param exceptionHandlingPolicy one of the constants definied in this class (BUBBLE_EXCEPTIONS,TRY_NEXT)
425:             * @throws an InferenceException
426:             */
427:            public ResultSet query(Query query,
428:                    org.mandarax.kernel.KnowledgeBase kb,
429:                    int aCardinalityConstraint, int exceptionHandlingPolicy)
430:                    throws InferenceException {
431:                Clause firstGoal = getGoal(query);
432:                VariableRenaming renameVariables = new VariableRenaming();
433:                List resultNodes = new ArrayList();
434:                SessionImpl session = new SessionImpl(kb, this , query,
435:                        exceptionHandlingPolicy, aCardinalityConstraint);
436:                notifyListenersOnDerivationStart(session, LOG_IE_STEP
437:                        .isDebugEnabled());
438:
439:                // proof
440:                DerivationNodeImpl linResult = proof(firstGoal,
441:                        new ArrayList(), new DerivationStepCounter(),
442:                        renameVariables, LOG_IE_STEP.isDebugEnabled(),
443:                        new ArrayList(MAXSTEPS), resultNodes, session);
444:                for (int i = 0; i < resultNodes.size(); i++)
445:                    ((DerivationNodeImpl) resultNodes.get(i))
446:                            .propagateSupportedSolutions();
447:                linResult
448:                        .setSemanticEvaluationPolicy(getSemanticEvaluationPolicy());
449:                return new ResultSetImpl2(linResult, resultNodes, firstGoal);
450:            }
451:
452:            /**
453:             * Build the next goal, i.e., remove the unified terms, join the remaining clauses,
454:             * and apply the unifications.
455:             * @return the next goal
456:             * @param c1 the first unified clause
457:             * @param c2 the second unified clause
458:             * @param u a resolution
459:             */
460:            protected Clause getNextGoal(Clause c1, Clause c2, Resolution r) {
461:                TmpClause nextClause = new TmpClause();
462:                nextClause.positiveLiterals = merge(c2.getPositiveLiterals(),
463:                        c1.getPositiveLiterals(), r.position2);
464:                nextClause.negativeLiterals = merge2(c1.getNegativeLiterals(),
465:                        c2.getNegativeLiterals(), r.position1);
466:                return nextClause;
467:            }
468:
469:            /**
470:             * Merge lists (of facts), skip the element at the index "skip" in the second list.
471:             * This method moves negated facts to the right. This increases the chances that all
472:             * terms are "ground".
473:             * @return a new list
474:             * @param v1 the first list
475:             * @param v2 the second list
476:             * @param skip the index to be skipped in the second list
477:             */
478:            private List merge2(List v1, List v2, int skip) {
479:                List merged = new ArrayList(v1.size() + v2.size());
480:                int posCounter = 0;
481:                Fact f = null;
482:                for (int i = 0; i < v1.size(); i++) {
483:                    f = (Fact) v1.get(i);
484:                    if (!f.isNegatedAF()) {
485:                        merged.add(posCounter, f);
486:                        posCounter = posCounter + 1;
487:                    } else
488:                        merged.add(v1.get(i));
489:                }
490:                for (int i = 0; i < v2.size(); i++) {
491:                    if (skip != i) {
492:                        merged.add(v2.get(i));
493:                    }
494:                }
495:                return merged;
496:            }
497:
498:            /**
499:             * Indicates whether a clause set is a cut.
500:             * @param cs a clause set
501:             * @return a boolean
502:             */
503:            private boolean isCut(ClauseSet cs) {
504:                return cs.getKey() instanceof  Cut;
505:            }
506:
507:            /**
508:             * Check whether a goal has a cut.
509:             */
510:            private void checkCut(DerivationNodeImpl node, Clause goal) {
511:                // the assumption is that cuts are only occuring in instances of TmpClause
512:                // in the first proof step, goal is an instance of Fact (originating from the query),
513:                // but then the predicate cannot be a cut anyway
514:                // @todo check selection policies
515:                if (goal instanceof  TmpClause) {
516:                    List negLiterals = ((TmpClause) goal).getNegativeLiterals();
517:                    // There may be several cut(s) so use while below
518:                    while (negLiterals.size() > 0
519:                            && ((Clause) negLiterals.get(0)).getKey() instanceof  Cut) {
520:                        // Now the node knows where this cut came from
521:                        node
522:                                .setCutPredicate(((Prerequisite) negLiterals
523:                                        .get(0)).getExtra());
524:                        node.setCut(true);
525:                        negLiterals.remove(0);
526:                    }
527:                }
528:            }
529:
530:            /**
531:             * Check whether a goal generates a cut and record the node id
532:             * in the prerequisite corresponding to this cut.
533:             * @param id the id of the current node
534:             * @param workCopy the clause about to be resolved that is checked here
535:             * for the presence of cuts.
536:             */
537:            private boolean recordCut(int id, Clause workCopy) {
538:                // Further corrections 28/04/03
539:                boolean cut_found = false;
540:                List negLiterals = workCopy.getNegativeLiterals();
541:                for (ListIterator li = negLiterals.listIterator(); li.hasNext();) {
542:                    Fact clause = (Fact) li.next();
543:                    Object pred = clause.getKey();
544:                    if (pred instanceof  Cut) {
545:                        // Record in the cut predicate itself what LHS it was opened from.
546:                        // Used in checkOut() when the cut is finally reached
547:                        ((Prerequisite) clause).setExtra(new Integer(id));
548:                        cut_found = true;
549:                        // There may be more than one cut in one rule, so continue
550:                    }
551:                }
552:                return cut_found;
553:            }
554:
555:        }
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