The purpose of this paper is, to describe a work-in process for application of distributed agency methodology to multi-dimensional preference model into a complex social system. This paper shows a study case focused on a modeling system for decision-making on cognitive structure religious affiliation preference. A type-2 neurofuzzy approach is used to configure cognitive rules into an agent to ...

A neurofuzzy system is proposed for short-term electric load forecasting. The fuzzy rule base of ReNFuzz-LF consists rules with dynamic consequent parts that are small-scale recurrent neural networks one hidden layer, whose neurons have local output feedback. particular representation maintains the learning nature typical static model, since can be considered as subsystems operating at subspace...

In this paper, a new PI observer of flux of induction motor is proposed. In the conventional PI observer, the PI correctors make the correction of estimation errors of stator currents of induction motor. In the proposed PI observer, we replace the two PI correctors of the structure of the PI observer by two adaptive neuro-fuzzy correctors. The aim is to enhance the robustness of correction of e...

It is traditional to initialise Kalman filters and extended Kalman filters with estimates of the states calculated directly from the observed (raw) noisy inputs7, 9, 10 but unfortunately their performance is extremely sensitive to state initialisation accuracy (Figure 1). Good initial state estimates ensure fast convergence whereas poor estimates may give rise to slow convergence or even filter...

Phenomenological theory of mind based on simple concepts related to human cognition is introduced. Basic concepts of this theory are directly related to neurophysiological events in the brain and may also be extended to explain higher cognitive functions realized by the mind. This theory on the one hand solves fundamental problems in cognitive sciences, explaining puzzling behavior of human con...

In this paper, a new adaptive fuzzy reasoning method using compensatory fuzzy operators is proposed to make a fuzzy logic system more adaptive and more effective. Such a compensatory fuzzy logic system is proved to be a universal approximator. The compensatory neural fuzzy networks built by both control-oriented fuzzy neurons and decision-oriented fuzzy neurons cannot only adaptively adjust fuz...