Conscious Intelligent Systems - Part 1 : I X I
U. Gayathree

TL;DR
This paper explores the evolutionary origins of consciousness and intelligence through a learning system perspective, linking natural factors to the development of self-awareness and complex behaviors.
Contribution
It introduces a novel evolutionary and learning system framework to explain consciousness and intelligent behavior in natural environments.
Findings
Natural factors influence the design of conscious systems
Evolutionary scenarios for human self-consciousness are proposed
A learning perspective unifies various natural phenomena related to consciousness
Abstract
Did natural consciousness and intelligent systems arise out of a path that was co-evolutionary to evolution? Can we explain human self-consciousness as having risen out of such an evolutionary path? If so how could it have been? In this first part of a two-part paper (titled IXI), we take a learning system perspective to the problem of consciousness and intelligent systems, an approach that may look unseasonable in this age of fMRI's and high tech neuroscience. We posit conscious intelligent systems in natural environments and wonder how natural factors influence their design paths. Such a perspective allows us to explain seamlessly a variety of natural factors, factors ranging from the rise and presence of the human mind, man's sense of I, his self-consciousness and his looping thought processes to factors like reproduction, incubation, extinction, sleep, the richness of natural…
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Taxonomy
TopicsNeural Networks and Applications
