This paper investigates a hybrid methodology that combines fuzzy logic and neural networks, Fuzzy Cognitive Map (FCM), for modeling and controlling Supervisory Control Systems. A mathematical description of Fuzzy Cognitive Maps (FCM) will be presented and new construction methods will be extensively examined. A Fuzzy Cognitive Map will be developed to model and control a process example and the...

The goal of cognitive modeling is to build faithful simulations of human cognition. One of the challenges is that multiple models can often explain the same phenomena. Another challenge is that models are often very hard to understand, explore, and reuse by others. We discuss some of the solutions that were discussed during the 2015 International Conference on Cognitive Modeling.

Fuzzy cognitive map is a powerful modeling tool. It has several desirable properties on control. In this paper, we utilize the feature and the inference mechanism of fuzzy cognitive map, and present a control method, which study combines control theory with fuzzy cognitive map theory. The causal relationship of variables is constructed by online learning or offline learning, the values of contr...

A recent trend in cognitive modeling is to couple cognitive architectures with computer models or simulations of dynamic environments to study interactive behavior and embedded cognition. Progress in this area is made difficult by the fact that cognitive architectures traditionally have been motivated by data from discrete experimental trials using static, noninteractive tasks. As a result, add...

Cognitive modeling is a promising research area combining the fields of psychology and artificial intelligence. Cognitive models have been successfully applied to different topics like theory generation in psychology, usability testing in humancomputer interface research, and cognitive tutoring in algebra teaching. This paper is focused on two major problems concerning the evaluation of cogniti...

Air Force Research Lab (AFRL) research efforts to transition cognitive modeling from the laboratory to operational environments are finding that available architectures and tools are difficult to extend, lack support for interoperability standards, and struggle to scale. This paper describes a component-based modeling and simulation framework that exploits the Discrete Event System Specificatio...

Air Force Research Lab (AFRL) research efforts to transition cognitive modeling from the laboratory to operational environments are finding that available architectures and tools are difficult to extend, lack support for interoperability standards, and struggle to scale. This paper describes a component-based modeling and simulation framework that exploits the Discrete Event System Specificatio...

AKIRA is an open-source framework for agent-based cognitive and socio-cognitive modeling and simulation. In this introductory paper we explain the underlying theoretical assumptions that lead to its central features, e.g. hybridism of the components, access to a common pool of resources, homeostasis of the system. In order to show the potentiality of AKIRA for cognitive modeling, we provide and...

with regard to competitive advantage complexity and specific characteristics of high tech industries, in this research by a cognitive mapping methodology we develop a qualitative model for interpreting the competitive advantage in company level for high tech industries. in first, after describing the research problem, we present a comparative review of four recent theories of firm and competiti...