示例#1
0
def forward_chaining(kb, theorem, verbose=True):
    # Salvăm baza de date originală, lucrăm cu o copie
    local_kb = deepcopy(kb)
    # Două variabile care descriu starea căutării
    got_new_facts = True  # s-au găsit fapte noi la ultima căutare
    is_proved = False  # a fost demostrată teorema
    # Verificăm dacă teorema este deja demonstrată
    for fact in filter(is_fact, local_kb):
        if unify(fact, theorem):
            if verbose:
                print("This already in KB: " + print_formula(fact, True))
            is_proved = True
            break
    while (not is_proved) and got_new_facts:
        got_new_facts = False
        for rule in filter(is_rule, local_kb):
            # Pentru fiecare regulă
            new_facts = apply_rule(rule, list(filter(is_fact, local_kb)))
            new_facts = list(
                filter(
                    lambda fact: not any(
                        list(
                            filter(lambda orig: is_equal_to(fact, orig),
                                   local_kb))), new_facts))
            if new_facts:
                if verbose:
                    print("Applied rule: " + print_formula(rule, True) +
                          ", obtained " + str(len(new_facts)) + " new facts.")
                if any(filter(lambda t: is_variable(t), get_args(get_conclusion(rule)))) and \
                        any(filter(lambda fact: is_equal_to(fact, get_conclusion(rule)), new_facts)):
                    print(
                        "Demonstration is too general, the conclusion is not instantiated (facts obtained:",
                        ",".join([print_formula(f, True)
                                  for f in new_facts]), ").")
                    return False
                got_new_facts = True
                for fact in new_facts:
                    #if verbose: print("New fact: " + print_formula(fact, True))
                    if unify(fact, theorem) != False:
                        is_proved = True
                        add_statement(local_kb, fact)
                        if verbose:
                            print("Now in KB: " + print_formula(fact, True))
                        break
                    add_statement(local_kb, fact)
            if is_proved:
                break
    if verbose:
        if is_proved:
            print("The theorem is TRUE!")
        else:
            print("The theorem is FALSE!")
    return is_proved
示例#2
0
def findAllSubstitutions(action, atoms, subst):
    if not atoms:
        print(subst)
        applyLE(action, subst)
        applyLA(action, subst)
        return

    atom = atoms[0]
    name = get_head(atom)
    if name in env:
        facts = env[name]
    elif name in math_predicates:
        return findAllSubstitutions(action, atoms[1:], subst)
    else:
        facts = state

    for fact in facts:
        newSubst = unify(atom, fact)
        if newSubst != False and newSubst != None:
            copySubst = deepcopy(subst)
            copySubst.update(newSubst)

            remaining = deepcopy(atoms[1:])
            for i in range(len(remaining)):
                remaining[i] = substitute(remaining[i], newSubst)
            findAllSubstitutions(action, remaining, copySubst)
示例#3
0
def apply_rule(rule, facts):
    print(facts)

    resulting_facts = []
    premises = list(map(lambda x: get_args(x)[0], get_premises(rule)))
    print premises
    substitutions = []

    for premise in premises:
        print('*** premise ***')
        print(premise)
        print('*** end premise ***')

        new_substitutions = []
        for fact in facts:
            print('*** premise ***')
            print(fact)
            print('*** end premise ***')

            res = unify(premise, fact)
            if res:
                substitutions.append(res)
            for substitution in substitutions:
                res = unify(premise, fact, substitution)
                if res:
                    new_substitutions.append(res)

        for new_subst in new_substitutions:
            substitutions.append(new_subst)
        print(substitutions)

    for subst in substitutions:
        res = substitute(get_conclusion(rule), subst)
        if res and res not in resulting_facts:
            resulting_facts.append(res)

    return resulting_facts
示例#4
0
def preconditionsSatisfied(atoms):
    atom = atoms[0]
    #print("checking " + str(atom))
    name = get_head(atom)
    if name in env:
        #print("NAME IN ENV")
        facts = env[name]
    elif name in math_predicates:
        res = checkMathPredicates(name, atom)
        if res == True and len(atoms) == 1:
            return True
        elif res == True:
            return preconditionsSatisfied(atoms[1:])
        else:
            return False
    else:
        facts = state

    #print(facts)
    hasUnified = False

    for fact in facts:
        s = unify(atom, fact)
        #print("with " + str(fact) + " unify is " + str(s))
        if s != False and s != None:
            hasUnified = True
            #print("unify " + str(atom) + " with " + str(fact) + " under ")
            #print(s)
            if len(atoms) == 1:
                return True

            remaining = deepcopy(atoms[1:])
            for i in range(len(remaining)):
                remaining[i] = substitute(remaining[i], s)
            #print("remaining " + str(remaining))
            res = preconditionsSatisfied(remaining)
            if res == False:
                return False

    if hasUnified:
        return True
    return False
def findSubstitutions(action, atoms, subst, allSubst, state):
    if not atoms:
        #print("found subst " + str(subst))
        if len(subst) != 0:
            allSubst.append(subst)
        return True

    atom = atoms[0]
    name = get_head(atom)
    if name in env:
        facts = env[name]
    elif name in math_predicates:
        newSubst = {}
        res = checkMathPredicates(name, atom, newSubst)
        if res == False:
            return False
        else:
            if newSubst != {}:
                #TODO update the remaining with the newSubst?
                subst.update(newSubst)
            return findSubstitutions(action, atoms[1:], subst, allSubst, state)
    else:
        facts = state

    hasUnifiedWithAll = True

    for fact in facts:
        #TODO pot sa aplic newSubst in unify si sa nu mai fac remaining?
        newSubst = unify(atom, fact)
        if newSubst != False and newSubst != None:
            copySubst = deepcopy(subst)
            copySubst.update(newSubst)

            remaining = deepcopy(atoms[1:])
            for i in range(len(remaining)):
                remaining[i] = substitute(remaining[i], newSubst)
            res = findSubstitutions(action, remaining, copySubst, allSubst,
                                    state)
            if not res:
                hasUnifiedWithAll = False

    return hasUnifiedWithAll
示例#6
0
def apply_rule(rule, facts):
    # TODO
    subst = {}
    prem = {}
    ans = []
    values = {}
    fact_values = {}
    
    for fact in facts:
        vals = []
        for arg in get_args(fact):
            vals.append(get_value(arg))
        if get_head(fact) not in values:
            values[get_head(fact)] = [tuple(vals)]
        else:
            values[get_head(fact)].append(tuple(vals))
            
        if get_head(fact) not in fact_values:
            fact_values[get_head(fact)] = [fact]
        else:
            fact_values[get_head(fact)].append(fact)
    
    for r in get_premises(rule):
        if isinstance(r, Sentence):
            var = get_name(get_args(get_args(r)[0])[0])
            prm = get_head(get_args(r)[0])
            prem[(prm, var)] = get_args(r)[0]
            continue
        var = get_name(get_args(r)[0])
        prem[(get_head(r), var)] = [r]

    index_h = {}
    max_index_h = {}
    for (pred, var) in prem:
        index_h[(pred, var)] = 0
        max_index_h[(pred, var)] = 0
        if pred in values:
            max_index_h[(pred, var)] = len(values[pred])
    
    
    pred = []
    for x in prem:
        pred.append(x)
    current_p = 0
    subst = {}
    while 1:
        p = pred[current_p]
        prd = p[0]
        val = p[1]
        p_index = index_h[p]
            
        if p_index == max_index_h[p]:
            index_h[p] = 0
            
            if current_p == 0:
                break
                
            current_p = current_p - 1
            p = pred[current_p]
            
            for x in get_args(prem[p]):
                name = get_name(x)
                if name in subst:
                    del subst[name]
            index_h[p] = index_h[p] + 1
            continue
        
        b_subst = deepcopy(subst)
        
        aux_subst = unify(prem[p], fact_values[prd][p_index], subst)
        if aux_subst!=False:
            subst = aux_subst
            if current_p == len(pred) - 1:
                ans.append(substitute(get_conclusion(rule),subst))
                subst = {}
                current_p = 0
                
                next_index = index_h[p] + 1
                    
                index_h[p] = next_index
                p = pred[current_p]

                continue
        else:
            subst = b_subst
            index_h[p] = index_h[p] + 1
            if index_h[p] == max_index_h[p]:
                index_h[p] = 0
                current_p = current_p - 1
                index_h[pred[current_p]] = index_h[pred[current_p]] + 1
                p = pred[current_p]
                for x in get_args(prem[p]):
                    name = get_name(x)
                    if name in subst:
                        del subst[name]
            continue
            
        
        if current_p < len(pred) - 1:
            current_p = current_p + 1
            continue
        index_h[p] = index_h[p] + 1

    return ans