To coincide with the introduction in the United States of the Sunshine Act, Genevieve Pham-Kanter discusses what we need to look for to fight hidden bias and deliberate or unconscious corruption. Please see later in the article for the Editors' Summary.

Copyright © 1997, American Association for Artificial Intelligence (www.aaai.org). All rights reserved. Although Zadeh defined the basic operations of fuzzy set theory over thirty years ago (Zadeh, 1965), fuzzy logicbased controllers have just recently become the technique of choice for many researchers in robotics. Fuzzy logic controllers allow for the integration of high-level, humandesigned ...

Since biologically-inspired intelligent systems with learning and decision-making capabilities vastly act upon comparison among inputs, the ability to select those inputs which satisfy certain conditions is of great significance in realization of such systems. Moreover intelligent systems need to operate with concurrency so as to reflect inherited capability of their biological counterparts lik...

As it is well aware, one of the major aspects of Ad Hoc networks is the randomized movement of nodes. In order for this to take place, the routing protocols in the Ad Hoc network have to quickly respond to the network topology change with the purpose of guaranteeing successful data packet delivery. This involves multiples routing pathways being established in order to improve on reliability and...

fuzzy order congruences play an important role in studying the categoricalproperties of fuzzy posets. in this paper, the correspondence between the fuzzyorder congruences and the fuzzy order-preserving maps is discussed. we focus onthe characterization of fuzzy order congruences on the fuzzy poset in terms ofthe fuzzy preorders containing the fuzzy partial order. at last, fuzzy completecongruen...

Interpretability in intelligent models becomes a challenge academic research and approaches that facilitate understanding the responses obtained based on artificial intelligence machine learning. This paper presents new logical fuzzy neuron concept of null-uninorm, thus called null-unineuron to compose architecture an evolving neuro-fuzzy model. structural can extract advanced rules allowing AN...