Rough cognitive ensembles

Cognitive and Behavioral Model Ensembles for Autonomous Virtual Characters

Cognitive and behavioral models have become popular methods for creating autonomous self-animating characters. Creating these models presents the following challenges: (1) Creating a cognitive or behavioral model is a time intensive and complex process that must be done by an expert programmer, (2) The models are created to solve a specific problem in a given environment and because of their sp...

Ensembles of Fuzzy Cognitive Map Classifiers Based on Quantum Computation

Fuzzy cognitive maps (FCMs) have been widely employed in the dynamic simulation and analysis in the complex systems. While a novel classifier model based on FCMs (FCMCM)was proposed in our former work, the obvious bottleneck of the genetic leaning algorithm used in FCMCM is its irksome efficiency, in particular, low speed in cross over and mutation delay in global convergence. Moreover the lack...

Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods

This paper describes problem of prediction that is based on direct marketing data coming from Nationwide Products and Services Questionnaire (NPSQ) prepared by Polish division of Acxiom Corporation. The problem that we analyze is stated as prediction of accessibility to Internet. Unit of the analysis corresponds to a group of individuals in certain age category living in a certain building loca...

The Neurophysiological Bases of Cognitive Computation Using Rough Set Theory

A popular view is that the brain works in a similar way to a digital computer or a Universal Turing Machine by processing symbols. Psychophysical experiments and our amazing capability to recognize complex objects (like faces) in different light and context conditions argue against symbolic representation and suggest that concept representation related to similarities may be a more appropriate ...

Rough Sets, Rough Relations and Rough Functions