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Synthesis of Neonate Connectomes for Artificial Sentience and Common Sense

Authors:
Michael Bihn
Rory Lewis

Keywords: Sentience, Common Sense, AI

Abstract:
In the ongoing research effort of synthesizing sen- tience into artificial intelligence, we propose a modular network that emulates neurological synaptic evolution in the neonate brain. Our hypothesis is that if one were to successfully develop a synthesized emulation of human’s six-month hippocampus as it initializes adult-like glucose usage and synaptic density which is generally accepted in the domain of neuroscience as being the foundation of human sentience, then so can human sentience be injected into the synthesized replication of said six-month hip- pocampus. Accordingly, we present a theoretical proposition that facilitates a significant step towards overcoming the commonsense challenge that state-of-the-art artificial intelligence systems are still grappling with today; where even the most powerful artificial intelligence systems are void of the common sense of a three year old: That lemons are sour, that things fall towards the ground and that they, as children, can pretend to be somebody else. Herein, we present a methodology to efficiently promulgate the research goal of integrating sentience and common sense reasoning into artificial intelligence, taking a neurological rather than a psychological approach.

Pages: 11 to 16

Copyright: Copyright (c) IARIA, 2021

Publication date: July 18, 2021

Published in: conference

ISSN: 2519-8653

ISBN: 978-1-61208-885-3

Location: Nice, France

Dates: from July 18, 2021 to July 22, 2021