Abstract: This paper is primarily designed to help address the feasibility of building optimized mediation clients for the Independent Core Observer Model (ICOM) cognitive architecture for Artificial General Intelligence (AGI) mediated Artificial Super Intelligence (mASI) research program where this client is focused on collecting contextual information and the feasibility of various hardware methods for building that client on, including Brain-Computer Interface (BCI), Augmented Reality (AR), Mobile and related technologies. The key criteria looked at is designing for the most optimized process for mediation services in the client as a key factor in overall mASI system performance with human mediation services is the flow of contextual information via various interfaces.
The Case for the Offspring of the Humanity
Recently, I was in a debate about this question organized by the USTP,
“Is artificial general intelligence likely to be benevolent and beneficial to human well-being without special safeguards or restrictions on its development?”
That really went to my position on AGI and Existential Risk.
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Brief: Theoretical and hypothetical pathways to real-time neuromorphic AGI/post-AGI ecosystems
Post proceedings of the 10th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2019 (Tenth Annual Meeting of the BICA Society)
Abstract: While Homo sapiens is without a doubt our planet’s most advanced species capable of imagining, creating and implementing tools, one of the many observable trends in evolution is the accelerating merger of biology and technology at increasing levels of scale. This is not surprising, given that our technology can be seen from a perspective in which the sensorimotor and, subsequently, prefrontal areas of our brain increasingly extending its motor (as did our evolutionary predecessors), perceptual, and—with computational advances, cognitive and memory capacities—into the exogenous environment. As such, this trajectory has taken us to a point in the above-mentioned merger at which the brain itself is beginning to meld with its physically expressed hardware and software counterparts—functionally at first, but increasingly structurally as well, initially by way of neural prostheses and brain-machine interfaces. Envisioning the extension of this trend, I propose theoretical technological pathways to a point at which humans and non-biological human counterparts may have the option to have identical neural substrates that—when integrated with Artificial General Intelligence (AGI), counterfactual quantum communications and computation, and AGI ecosystems—provide a global advance in shared knowledge and cognitive function while ameliorating current concerns associated with advanced AGI, as well as suggesting (and, if realized, accelerating) the far-future emergence of Transentity Universal Intelligence (TUI).
(Preview) Approaching the Psychology of Artificial Intelligence
Prerelease selections from the upcoming paper (Peer Reviewed and Published as Part of BICA*AI Conference Proceedings 2020):
Abstract: The field of human psychology is relatively well known. It is a broad field; however, when we start creating sapient and sentient computer systems, we may not know how an AI’s psychology may or may not be. While the idea of ‘Artificial Psychology’ started in 1963 by Dan Curtis (Crowder), it has made little progress.
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(Paper) Independent Core Observer Model Research Program Assumption Codex
Abstract: This document contains taxonomical assumptions, as well as the assumption theories and models used as the basis for all ICOM related research as well as key references to be used as the basis for and foundation of continued research as well as supporting anyone that might attempt to find fault with our fundamentals in the hope that they do find a flaw in or otherwise better inform the ICOM research program.
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Volunteer To Help With The Uplift E-Governance Study
The AGI Laboratory is looking for volunteers to help with our E-governance study. Here is the summary from the experimental framework for the research program:
This paper outlines the experimental framework for an e-governance study by the AGI Laboratory. The goal of this research study is to identify indications of the relative performance of e-governance methodologies and how those methods might be improved by applying advanced agent and collective based AI software. The agent in this study will be based on the Independent Core Observer Model Cognitive Architecture modified with mASI (mediated Artificial Superintelligence) collective system architecture. The study will apply different groups and methods to a static set of questions analyzing the quality of those results. We hope to identify the best application model for e-governance using this kind of technology and help us identify additional paths for research with the mASI research program and systems as applied to e-governance.
You can read more on the study page here or volunteer here:
(Paper) Preliminary Results and Analysis of an Independent Core Observer Model (ICOM) Cognitive Architecture in a Mediated Artificial Super Intelligence (mASI) System
Abstract: This paper is focused on preliminary cognitive and consciousness test results from using an Independent Core Observer Model Cognitive Architecture (ICOM) in a Mediated Artificial Super Intelligence (mASI) System. These 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 perform 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.
(Paper) Independent Core Observer Model (ICOM) Theory of Consciousness as Implemented in the ICOM Cognitive Architecture and the Associated Consciousness Measures
Abstract. This paper articulates the fundamental theory of consciousness used in the Independent Core Observer Model (ICOM) research program and the consciousness measures as applied to ICOM systems and their uses in context including defining of the basic assumptions for the ICOM Theory of Consciousness (ICOMTC) and associated related consciousness theories (CTM, IIT, GWT etc.) that the ICOMTC is built upon. The paper defines the contextual experience of ICOM based systems in terms of given instances subjective experience as objectively measured and the qualitative measure of Qualia in ICOM based systems.
(Paper) The Independent Core Observer Model Computational Theory of Consciousness and the Mathematical model for Subjective Experience
Abstract. This paper outlines the Independent Core Observer Model (ICOM) Theory of Consciousness defined as a computational model of consciousness that is objectively measurable and an abstraction produced by a mathematical model where the subjective experience of the system is only subjective from the point of view of the abstracted logical core or conscious part of the system where it is modeled in the core of the system objectively. Given the lack of agreed-upon definitions around consciousness theory, this paper sets precise definitions designed to act as a foundation or baseline for additional theoretical and real-world research in ICOM based AGI (Artificial General Intelligence) systems that can have qualia measured objectively.