Decision validation and emotional layers on Fuzzy Boolean Networks

Fuzzy Boolean Networks are capable of learning and reasoning. However, the reasoning result must be validated by an emotional layer, which ensures the acting rules are meaningful and that no contradictory rules are giving a wrong, "averaged", defuzzified result. Here the problem is addressed and an emotional layer is developed to deal with it.