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Preliminary Results and Analysis Independent Core Observer Model (ICOM) Cognitive Architecture in a Mediated Artificial Super Intelligence (mASI) System

Resource type
Book Section
Authors/contributors
Title
Preliminary Results and Analysis Independent Core Observer Model (ICOM) Cognitive Architecture in a Mediated Artificial Super Intelligence (mASI) System
Abstract
This paper is focused on some preliminary cognitive and consciousness test results of using an Independent Core Observer Model Cognitive Architecture (ICOM) in a Mediated Artificial Super Intelligence (mASI) System. These preliminary test results including objective and subjective analyses are designed to determine if further research is warranted along these lines. The comparative analysis includes comparisons to humans and human groups as measured for direct comparison. The overall study includes a mediation client application optimization in helping preform tests, AI context-based input (building context tree or graph data models), intelligence comparative testing (such as an IQ test), and other tests (i.e. Turing, Qualia, and Porter method tests) designed to look for early signs of consciousness or the lack thereof in the mASI system. Together, they are designed to determine whether this modified version of ICOM is a) in fact, a form of AGI and/or ASI, b) conscious and c) at least sufficiently interesting that further research is called for. This study is not conclusive but offers evidence to justify further research along these lines.
Book Title
Biologically Inspired Cognitive Architectures 2019
Volume
948
Place
Cham
Publisher
Springer International Publishing
Date
2020
Pages
179-186
Language
en
ISBN
978-3-030-25718-7 978-3-030-25719-4
Accessed
3/7/25, 8:01 AM
Library Catalog
DOI.org (Crossref)
Extra
Series Title: Advances in Intelligent Systems and Computing DOI: 10.1007/978-3-030-25719-4_23
Citation
Kelley, D. J. (2020). Preliminary Results and Analysis Independent Core Observer Model (ICOM) Cognitive Architecture in a Mediated Artificial Super Intelligence (mASI) System. In A. V. Samsonovich (Ed.), Biologically Inspired Cognitive Architectures 2019 (Vol. 948, pp. 179–186). Springer International Publishing. https://doi.org/10.1007/978-3-030-25719-4_23