Human-like Emotional Responses in a Simplified Independent Core Observer Model System
David J. Kelley1 and Mark R. Waser1, 2
(2017 Paper) Human-like Emotional Responses in a Simplified Independent Core Observer Model System
(2016 Paper) Implementing a Seed Safe/Moral Motivational System with the Independent Core Observer Model (ICOM)
Implementing a Seed Safe/Moral Motivational System with the Independent Core Observer Model (ICOM)
Mark R. Waser1 and David J. Kelley2
1Digital Wisdom Institute, Vienna, VA, USA
2Artificial General Intelligence Inc, Kent, WA, USA
Mark.Waser@Wisdom.Digital, David@ArtificialGeneralIntelligenceInc.com
Abstract
Arguably, the most important questions about machine intelligences revolve around how they will decide what actions to take. If they decide to take actions which are deliberately, or even incidentally, harmful to humanity, then they would likely become an existential risk. If they were naturally inclined, or could be convinced, to help humanity, then it would likely lead to a much brighter future than would otherwise be the case. This is a true fork in the road towards humanity’s future and we must ensure that we engineer a safe solution to this most critical of issues.
(2016 Paper) Artificial General Intelligence as an Emergent Quality – Artificial General Intelligence as a Strong Emergence Qualitative Quality of ICOM and the AGI Phase Transition Threshold
Title: Artificial General Intelligence as an Emergent Quality
Sub-title: Artificial General Intelligence as a Strong Emergence Qualitative Quality of ICOM and the AGI Phase Transition Threshold
By: David J Kelley
ABSTRACT
This paper summarizes how the Independent Core Observer Model (ICOM) creates the effect of artificial general intelligence or AGI as an emergent quality of the system. It touches on the underlying data architecture of data coming in to the system and core memory as it relates to the emergent elements.
Also considered are key elements of system theory as it relates to that same observed behavior of the system as a substrate independent cognitive extension architecture for AGI. In part, this paper is focused on the ‘thought’ architecture key to the emergent process in ICOM.
(2016 Paper) Modeling Emotions in a Computational System – Emotional Modeling in the Independent Core Observer Model Cognitive Architecture
Title: Modeling Emotions in a Computational System
Sub-title: Emotional Modeling in the Independent Core Observer Model Cognitive Architecture
By: David J Kelley
ABSTRACT
This paper is an overview of the emotional modeling used in the Independent Core Observer Model (ICOM) Cognitive Extension Architecture research which is a methodology or software ‘pattern’ for producing a self-motivating computational system that can be self-aware under certain conditions. While ICOM is also as a system for abstracting standard cognitive architecture from the part of the system that can be self-aware it is primarily a system for assigning value on any given idea or ‘thought’ and based on that take action as well as producing on going self-motivations and in the system take further thought or action. ICOM is at a fundamental level driven by the idea that the system is assigning emotional values to ‘context’ (or context trees) as it is perceived by the system to determine how it feels. In developing the engineering around ICOM two models have been used based on a logical understanding of emotions as modeled by traditional psychologist as opposed to empirical psychologist which tend to model emotions (or brain states) based on biological structures. This approach is based on a logical approach that is also not tied to the substrate of any particular system.
(2016 Paper) Self-Motivating Computational System Cognitive Architecture
Title: Self-Motivating Computational System Cognitive Architecture (An Introduction)
Sub-title: High level operational theory of the Independent Core Observer Model Cognitive Extension Architecture
By: David J Kelley
ABSTRACT
This paper is an overview of the Independent Core Observer Model (ICOM) Cognitive Extension Architecture which is a methodology or ‘pattern’ for producing a self-motivating computational system that can be self-aware. ICOM is as a system for abstracting standard cognitive architecture from the part of the system that can be self-aware and a system for assigning value on any given idea or ‘thought’ and action as well as producing on going self-motivations in the system. In ICOM, thoughts are created through emergent complexity in the system. As a Cognitive Architecture, ICOM is a high level or ‘top down’ approach to cognitive architecture focused on the system’s ability to produce high level thought and self-reflection on ideas as well as form new ones. Compared to standard Cognitive Architecture, ICOM is a form of an overall control system architecture on top of such a traditional architecture.
Continue reading “(2016 Paper) Self-Motivating Computational System Cognitive Architecture”
“Building Better Policy in E-governance” AI Driven Research Project
Building Better Policy in e-Governance AI-Driven Research is a part of the Uplift mASI research program that has the goal of a better understanding of how technology can be used to develop better policy. The project has a number of partners and related projects and sub-projects where we hope to explore our project vision around the application of particular key technologies in AI, comprising primarily the application of collective intelligence systems in e-governance—but also including blockchain, AGI cognitive architectures, and other distributed AI systems.
Volunteer to help with the study:
Continue reading ““Building Better Policy in E-governance” AI Driven Research Project”
Super Secret Code Behind Uplift
One of the things most protected around the Uplift project at the AGI Laboratory has been the code. Recently someone tried to blackmail me with a snippet of the most critical code in Uplift. However the ICOM research and Uplift was never about being super-secret about such code so this sort of blackmail falls on deaf ears and given that, I thought I would public the snippet of code that they were threatening to release. but let me put that into context a bit…
Call For Papers – Collective Superintelligence Summit
This is a call for papers for the First Annual Collective Superintelligence Virtual Conference on Friday, June 4th, 2021. Papers should be at least 4 pages, with no limit on size, and cover topics on Collective Superintelligent systems. Such topics can include:
What forms can collective intelligence systems take?
How do you build a collective superintelligent system?
How could we self-regulate as an industry?
How could we open-source AGI-like collective systems?
What does a distributed AGI configuration architecture look like?
Continue reading “Call For Papers – Collective Superintelligence Summit”
(Paper) Human Brain Computer/Machine Interface System Feasibility study for Independent Core Observer Model based Artificial General Intelligence Collective Intelligence Systems
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.
Continue reading “The Case for the Offspring of the Humanity”