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ThinkMind // International Journal On Advances in Life Sciences, volume 8, numbers 3 and 4, 2016 // View article lifsci_v8_n34_2016_2


The Natural-Constructive Approach to Representation of Emotions and a Sense of Humor in an Artificial Cognitive System

Authors:
Olga Chernavskaya
Yaroslav Rozhylo

Keywords: noise; emotions; explanatory gap; spike; surprise.

Abstract:
The Natural-Constructive Approach is proposed to describe and simulate the emotions and a sense of humor in an artificial cognitive system. The approach relates to the neuromorphic models and is based on the original concept of dynamical formal neuron. The main design feature of the cognitive architecture consists in decoupling the cognitive system into two linked subsystems: one responsible for the generation of information (with the required presence of random component usually called “noise”), the other one  for processing the well-known information. The whole system is represented by complex multi-level hierarchical composition of neural processors of two types that evolves according to certain principle of self-organization. Various levels are shown to correspond to the functional areas of the human-brain cortex. Human emotions are treated as a trigger for switching the subsystem activity that could be imitated and mathematically expressed as variation of the noise amplitude. Typical patterns of the noise-amplitude variation in the process of problem solving are presented. The sense of humor is treated as an ability of quick adaptation to unexpected information (incorrect and/or incomplete forecast, surprise) with getting positive emotions. Specific human humor response (the laughter) is displayed as an abrupt “spike” in the noise amplitude. Thus, it is shown that human emotional manifestations could be imitated by specific behavior of the noise amplitude.

Pages: 184 to 202

Copyright: Copyright (c) to authors, 2016. Used with permission.

Publication date: December 31, 2016

Published in: journal

ISSN: 1942-2660

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