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On Possibility to Imitate Emotions and a “Sense of Humor” in an Artificial Cognitive System

Authors:
Olga Chernavskaya
Yaroslav Rozhylo

Keywords: neuroprocessor; noise; information generation; switching.

Abstract:
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.

Pages: 42 to 47

Copyright: Copyright (c) IARIA, 2016

Publication date: March 20, 2016

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-462-6

Location: Rome, Italy

Dates: from March 20, 2016 to March 24, 2016