Title :
Decision validation and emotional layers on Fuzzy Boolean Networks
Author :
Tomé, José A B ; Carvalho, João P.
Author_Institution :
INESC-ID, Inst. Superior Tecnico, Lisboa, Portugal
Abstract :
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.
Keywords :
fuzzy neural nets; inference mechanisms; learning (artificial intelligence); contradictory rules; decision validation; emotional layers; fuzzy boolean networks; learning; reasoning; Artificial neural networks; Automobiles; Drives; Education; Fuzzy neural networks; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Neural networks; Neurons;
Conference_Titel :
Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the
Print_ISBN :
0-7803-8376-1
DOI :
10.1109/NAFIPS.2004.1336265
