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An Attempt to Build a Computer Model of Mental Trauma Using Consciousness Modules
Author(s) -
Keitarou Yoshida,
Junichi Takeno
Publication year - 2014
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2014.11.084
Subject(s) - consciousness , computer science , artificial consciousness , feeling , cognition , robot , cognitive science , human–computer interaction , artificial intelligence , cognitive psychology , psychology , social psychology , psychiatry , neuroscience
A discussion must be begun without delay about problems related to the “mentality of robots.” When attempting to be able to realize in a robot such human-like attributes as advanced cognitive functions, evolutional learning, thought, sense, will, emotion and feelings, and use of experience, then research on brain disease in humans should be considered a very important key area of focus for the healthy development of both humans and robots.The authors of this paper first discuss the well-known mental trauma illnesses of post-traumatic stress disorder (PTSD) and dissociation. While attempting to realize the state of a serious mental illness on a robot by means of a single program in order to study the more advanced aspects of robot mentality, they also attempt to uncover insights that can improve the diseases of the human brain. As stated, this approach seeks to “capture objectively the subjective phenomena of trauma” using consciousness modules and to describe those phenomena.The consciousness module was developed by the authors and is a recursive neural network named a MoNAD which is derived from their research in various fields such as brain science, philosophy and psychology. The MoNAD is based on the idea that special information processing, described as the “consistency of cognition and behavior,” is what gives rise to human consciousness

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