def gen_match_set(pop: list, percept: list): """ Generate a list of Classifier thats match current perception :param pop: :type pop: list :param percept: :type percept: list :return: :rtype: list """ ma = [] if time == 0 or len(pop) == 0: for i in range(cons.nbAction): newcl = Classifier() newcl.condition = [cons.symbol] * cons.lenCondition newcl.action = i newcl.effect = [cons.symbol] * cons.lenCondition newcl.exp = 0 newcl.t = time newcl.q = 0.5 pop.append(newcl) for c in pop: if does_match(c, percept): ma.append(c) return ma
def cover_triple(percept_: list, action: int, percept: list, t: int) -> Classifier: child = Classifier() for i in range(len(percept)): if percept_[i] != percept[i]: child.condition[i] = percept_[i] child.effect[i] = percept[i] child.action = action child.exp = 0 child.r = 0 child.aav = 0 child.alp = t child.tga = t child.t = t child.q = 0.5 child.num = 1 return child