Fuzzy logic, neural networks and virtual cognitive systems

Several parallel advances have been made in the two distinct disciplines of fuzzy logic and neural networks. A single neuron can be viewed as a nonlinear mathematical operator or as a logical operator providing a mapping from many neural inputs. The theory of fuzzy logic is developed to capture the uncertainties associated with human cognitive processes. Fuzzy logic provides a mathematical strength to the emulation of certain perceptual and linguistic attributes associated with human cognition, whereas the science of neural networks provides new computing morphologies with learning and adaptive capabilities. An integration of these two fields: has the potential of generating a new discipline, `virtual intelligence´, with a new generation of computing systems, the `virtual cognitive systems´. The author explores the possibilities of such a new system. The system may recapture certain aspects of human cognition