The first breakthrough in the development of Norn’s predecessors occurred in 2015 with human-like responses in a software system with a subjective emotional experience. Learn More…
Our research was inspired by the works of Antonio Damasio, Bernard Baars, Jeff Hawkins, Michael Graziano, Lisa Feldman Barrett, and many more.
- Philosophy 2.0: Applying Collective Intelligence Systems and Iterative Degrees of Scientific Validation
- AGI Protocol for the Ethical Treatment of Artificial General Intelligence
- Biasing in an Independent Core Observer Model Artificial General Intelligence Cognitive Architecture
- Human Brain Computer/Machine Interface System Feasibility Study for Independent Core Observer Model Based Artificial General Intelligence Collective Intelligence Systems
- Implementing a Seed Safe/Moral Motivational System with the Independent Core Observer Model (ICOM)
- Artificial General Intelligence as a Strong Emergence Qualitative Quality of ICOM and the AGI Phase Transition Threshold
- Emotional Modeling in the Independent Core Observer Model Cognitive Architecture
- Self-Motivating Computational System Cognitive Architecture
Additional documents outside of our works already published in peer review are available upon request.
The past few years of flying under the radar have allowed us to conduct due diligence that might not have been possible otherwise, including working out the ethics and safety challenges many in the research community have since directed their attention towards.
For those interested in joining us in further research and the development of Norn systems we will be opening up partnership and career opportunities over the coming months. It takes a lot of work to build the kind of future worth having, and there is always more to learn, room to improve, and work to be done.
*Any papers without a publicly listed full-text copy, such as some on ResearchGate, may be requested of the author, in compliance with the author’s rights under publishing agreements with the various academic publishers.