Hi, For a very long time I have been trying to articulate a fundamental issue in the conduct science of AI (AGI). The issue is the proper conduct of the science such that we can know, with empirical certainty, whether and under what circumstances, a general-purpose computed abstract model of nature (the brain) has functional equivalence with the nature (the brain).
It's taken 10 years of brutal grind, but I think I have found the mature/accurate shape of the argument, the proper nature of the problem, and the way forward. I have completed the paper to preprint stage before I go to a journal for the final peer review meat-grinder. So for a bit of a quiet read while the world self-immolates over the next couple of weeks: Hales, C.G. (2020). The Model-less Neuromimetic Chip and its Normalization of Neuroscience and Artificial Intelligence. https://doi.org/10.36227/techrxiv.13298750.v2 1 main article. 2 supplementary supporting articles. 4 videos from a computational EM study. Many of you will find previous discussions here remain part of it. It's been quite a job to get to the bottom of the matter. I hope it makes sense of a difficult issue. Take care out there, cheers, Colin ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Tf319c0e4c79c9397-M62ea1905ccf598858dda3808 Delivery options: https://agi.topicbox.com/groups/agi/subscription
