MENS is a bio-inspired model for higher level cognitive systems; it is an application of the Memory Evolutive Systems developed with J.-P. Vanbremeersch [12], to model complex multi-scale, multi-agent self-organized systems, such as biological or social systems. Its development resorts from an info-computationalism: first we characterize the properties of the human brain/mind at the origin of h...

this paper deals with the problem of optimizing two-stage structure decision making units (dmus) where the activity and the performance of two-stage dmu in one period effect on its efficiency in the next period. to evaluate such systems the effect of activities in one period on ones in the next term must be considered. to do so, we propose a dynamic dea approach to measure the performance of su...

Spectrum allocation in wireless communication and telemetry systems of the future may be performed in a dynamic and distributed manner, as opposed to static centralized regulations currently in place. This paper surveys a new area of research in the communications field known as cognitive radio which will allow dynamic sharing of spectral bands. An introduction to cognitive radio, a review of e...

this study investigated the effect of applying the dynamic system theory (dst) and cognitive linguistics (cl) insights into grammar instruction on efl learners’ learning of english prepositions and learner autonomy. sixty iranian efl learners at the lower-intermediate level of language proficiency were randomly assigned to 1 experimental and 1 control group. the 2 groups filled out an autonomy ...

This paper examines the contributions of dynamic systems theory to the field of cognitive development, focusing on modeling using dynamic neural fields. A brief overview highlights the contributions of dynamic systems theory and the central concepts of dynamic field theory (DFT). We then probe empirical predictions and findings generated by DFT around two examples-the DFT of infant perseverativ...

in this paper, the application of neural networks for simulation and optimization of the cogeneration systems has been presented. cgam problem, a benchmark in cogeneration systems, is chosen as a casestudy. thermodynamic model includes precise modeling of the whole plant. for simulation of the steadysate behavior, the static neural network is applied. then using dynamic neural network, plant is...

| Cognitive radio is an exciting emerging technology that has the potential of dealing with the stringent requirement and scarcity of the radio spectrum. Such revolutionary and transforming technology represents a paradigm shift in the design of wireless systems, as it will allow the agile and efficient utilization of the radio spectrum by offering distributed terminals or radio cells the abili...

Inverse problems for dynamical system models of cognitive processes comprise the determination of synaptic weight matrices or kernel functions for neural networks or neural/dynamic field models, respectively. We introduce dynamic cognitive modeling as a three tier top-down approach where cognitive processes are first described as algorithms that operate on complex symbolic data structures. Seco...

Cognitive Radio (CR) is the future of radio systems giving authorities and end users unprecedented capabilities, and completely new services expectations. This paper aims at introducing an evolutionary novel Cognitive Radio adaptation engine architecture inspired from theories developed in cognitive sciences. Adaptation is a fundamental feature of CR necessary for many applications and use case...