Did you know Buddhism describes a “layer stack” of the mind, complete with a loss/reward function—much like AI and machine learning?
Back in 2015, my friend Brian Fenton and I published an AI article (https://link.springer.com/chapter/10.1007/978-3-319-21365-1_...) at AGI Berlin conference on a cognitive architecture with self-models at multiple levels—allowing AI to reflect on its own states and capabilities. But since we wrote it in highly technical language for an AI audience, it flew under the radar.
Today, I have published an article on the same topic—this time from a Buddhist perspective (https://medium.com/@frankber/buddhas-layer-stack-software-ar...). This approach lets me explore introspection and consciousness, ideas that don’t always fit within the constraints of scientific papers.
Back in 2015, my friend Brian Fenton and I published an AI article (https://link.springer.com/chapter/10.1007/978-3-319-21365-1_...) at AGI Berlin conference on a cognitive architecture with self-models at multiple levels—allowing AI to reflect on its own states and capabilities. But since we wrote it in highly technical language for an AI audience, it flew under the radar.
Today, I have published an article on the same topic—this time from a Buddhist perspective (https://medium.com/@frankber/buddhas-layer-stack-software-ar...). This approach lets me explore introspection and consciousness, ideas that don’t always fit within the constraints of scientific papers.