DocumentCode
420304
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
Volume
1
fYear
2004
fDate
27-30 June 2004
Firstpage
136
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the
Print_ISBN
0-7803-8376-1
Type
conf
DOI
10.1109/NAFIPS.2004.1336265
Filename
1336265
Link To Document