You may be interested in the slides I prepared for an upcoming workshop on swarm computing. This shows how chunks & rules can be applied to low-code control for the Internet of Things. The idea of low-code is to simplify and speed development of applications, making them easier to update as new requirements emerge.
My current research is on zero-code applications using smart neural agents with continual learning using continual prediction in place of back propagation, along with continuous reasoning and episodic memory. That work is at an early stage, but is very promising. Please get in touch if you want to know more.
https://github.com/w3c/cogai/blob/b012e5acb3b5c8aef3e368cff60b636a97d0ffbb/agents/low-code-with-chunks-and-rules.pdf
cogai/agents/low-code-with-chunks-and-rules.pdf at b012e5acb3b5c8aef3e368cff60b636a97d0ffbb · w3c/cogai
github.com
Dave Raggett <dsr@w3.org>
