BICA Labs Publications

Core Publications

On the modelling an artificial cognitive system based on the human-brain architecture

Chernavskaya O., Chernavskii D., Rozhylo Y. (2017) On the Modelling an Artificial Cognitive System Based on the Human-Brain Architecture. In: Hale K., Stanney K. (eds) Advances in Neuroergonomics and Cognitive Engineering. Advances in Intelligent Systems and Computing, vol 488. Springer, Cham

The approach to modeling a cognitive system based on the human-brain architecture, called the Natural-Constructive Approach is presented. The key point of this approach is the following: an artificial cognitive system, being a complex multi-level combination of various-type neural processors, should be divided into two subsystems, by analogy with two cerebral hemispheres in a human brain. It is shown that one of them should necessarily contain a random element (noise) for generation of information (creativity); it is responsible for learning. The other one, being free of noise, is responsible for memorization and processing the well-known information. Emotions could be interpreted as the noise-amplitude variation and incorporated into the system by coupling the noise amplitude with the additional variable representing the aggregated value of neurotransmitter composition, which reflects the influence of subcortical brain structures. It is shown that the activity of both subsystems should be controlled by the noise-amplitude derivative.

Keywords: Generation of information; Neuroprocessor; Emotions; Learning; Noise amplitude; Hemisphere; Stimulant; Inhibitor

On possibility to imitate emotions and a “sense of humor” in an artificial cognitive system

Cernavskaya, O.D., Rozhylo, Y.A. On Possibility to imitate emotions and a “sense of humor” in an artificial cognitive system. In: Proceedings of the Eighth International Conference on Advanced Cognitive Technologies and Applications COGNITIVE 2016, 20–24 Mar 2016, Rome, Italy

The problem of modeling and simulation of emotions and a sense of humor in an artificial cognitive system is considered within Natural-Constructive Approach (NCA) to modeling the human thinking process. The main constructive feature of this approach consists in splitting up the cognitive system into two linked subsystems: one responsible for the generation of information (with required presence of an occasional component, “noise”), the other one − for reception of well-known information. It is shown that human emotions could be imitated and displayed by variation of the noise amplitude; this very variation does control the switching on the subsystems activity. The sense of humor is proposed to be treated as an ability of quick adaptation to unexpected information (incorrect and/or undone prognosis) with getting positive emotions. It is shown that specific human emotional response to the humor (the laugh) could be imitated by abrupt changing (“spike”) in the noise amplitude.

Keywords: neuroprocessor; noise; information generation; switching.

An architecture of the cognitive system with account for emotional component

Chernavskaya, O.D.; Chernavskii D.S.; Karp V.P.; Nikitin A.P.; Shchepetov D.S.; Rozhylo Ya.A. An architecture of the cognitive system with account for emotional component.- Biologically Inspired Cognitive Architectures, 2015.-
Vol. 12.- P.144–154

This article represents an extension of authors’ previous papers (Chernavskaya, Chernavskii, Karp, Nikitin, & Shchepetov, 2012, 2013) in modeling cognitive systems on the base of the Dynamical Theory of Information. The paper focuses on the problem of account for emotions in artificial system. The main hypothesis consists in the assumption that emotions inherent in a living system could be simulated by variation of amplitude of the occasional component (noise) inherently embedded into the architecture of artificial system. Within this concept, increasing noise amplitude should correspond to negative emotions (anxiety), while its decreasing provides positive emotions (relaxation, pleasure). A rapid up-and-down spike in the noise amplitude could imitate a laugh. This hypothesis is secured by incorporation of an additional dynamical variable that represents an analogy to the compound of neural mediators in human beings. The system of linked equations in terms of “noise amplitude – neurotransmitter compound” is proposed to describe mutual influence of the cognitive process and emotional component. The model permits to reproduce qualitatively certain prominent effects typical for human emotional reactions (like stress and shock).

Keywords: Information; Learning; Emotions; Noise amplitude; Unexpectedness; Humor

The concepts of intuition and logic within the frame of cognitive process modeling

Chernavskaya O.D., Nikitin A.P., Rozhilo J.A. (2013) The Concepts of Intuition and Logic within the Frame of Cognitive Process Modeling. In: Chella A., Pirrone R., Sorbello R., Jóhannsdóttir K. (eds) Biologically Inspired Cognitive Architectures 2012. Advances in Intelligent Systems and Computing, vol 196. Springer, Berlin, Heidelberg

Possible interpretation of intuition and logic is discussed in terms of neurocomputing, dynamic information theory, and pattern recognition. The thinking is treated as a self-organizing process of recording, storing, processing, generation, propagation of information under no external control. Information levels, being formed successively due to this process are described, with the transition between each level is shown to be accompanied with reduction of information. The hidden information could be interpreted as a basis for intuition, whereas verbalized abstract concepts and relations refer to the logical thinking.

Keywords: image; symbol; neural processor; connections; lamina

Other Publications

Image analysis systems for quantitative immunofluorescence measurement

Kolesnik, Y.M.; Orlovsky, M.A. Image analysis systems for quantitative immunofluorescence measurement. Microscopy & Analysis, 2002.

Immunofluorescence methods for hormone-containing cells exposure are widely used but the quantitative nature of the immunostaining is frequently ignored. In this study, quantitative measurements of fluorescent pancreatic beta-cells before and after glucose stimulation were used to determine parameters characterizing insulin synthesis and secretory activity. Beta-cells in Wistar rats pancreatic islets were stained using indirect immunohistochemistry, with subsequent processing on image analysis systems. The presence of three independent beta-cell classes with different insulin synthesis and secretion activity was shown by subsequent cluster analysis and confirmed by changes in insulin blood level.

Keywords: insulin; beta-cells; immunofluorescence; microscopy; image analysis