This paper investigates an information-theoretic design principle, intended to support an evolution of a memory structure fitting a specific selection pressure: potential information transfer through the structure. The proposed criteria measure how much does associativity in memory add to the information transfer in terms of precision, recall and effectiveness. Maximization of the latter result...

This paper proposes a novel information theoretic approach to self-organization called cooperative information control. The method aims to mediate between competition and cooperation among neurons by controlling information content in neurons. Competition is realized by maximizing information content in neurons. In the process of information maximization, only a small number of neurons win the ...

objective: the interest in cosmetic surgery has increased dramatically during recent years and psychologists have focused on the associations of this interest. the present study aimed to compare cosmetic surgery patients and normal individuals in terms of their early maladaptive schemas (emss), body image (bi), and self-esteem, as well as investigate the relationships of emss and self-esteem wi...

In this paper, we derive a new class of finite-dimensional filters for integrals and stochastic integrals of moments of the state for continuous-time linear Gaussian systems. Apart from being of significant mathematical interest, these new filters can be used with the expectation maximization (EM) algorithm to yield maximum likelihood estimates of the model parameters.

Online social networks are increasingly connecting people around the world. Influence maximization is a key area of research in online networks, which identifies influential users during information dissemination. Most existing influence methods only consider transmission single channel, but real-world mostly include multiple channels with competitive relationships. The problem an environment i...