Support for the Evolution of AI
The replacement of the germline with neural networks as the conveyer of heritable information would provide a framework for incremental evolutions of an AI. This neural genome (ref2) would need to communicate information such as number of nodes (neurons), connectivity, and synapse weight. In order to reproduce long-term potentiation, successful circuits would need to be preserved with a relative reduced vulnerability to mutation from the background rate, set at 0.01 per bit (ref3). When transferring the respective genomes, the binary could be sent at an information rate just enough above the channel capacity to produce this desired mutation rate of error. This amounts to coevolution of neurons amongst environmentally-associated synapse selection. Complexity will be selected for as increased functionalities of successful competition/cooperation are evolved, however conciseness will be selected as the genome size will be directly proportional to power requirements. (This is what leads to...