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| Picture from HITXP blog |
My “biological
computer” model of the evolution of human intelligence involves information
flowing between “decision making nodes” in a infinite recursive network. Every
node can receive, process, and transmit messages and may consist of clusters of
simpler nodes. The simplest nodes represent individual neurons, with groups of
interlinked neurons up to complete brains, individual animals, and extending to
social groups of animals or humans exchanging information (including large
organizations) and tools made by humans – such as the Internet. “Animal” nodes
have a limited lifespan and (if the brain makes good decisions) can pass
genetic information to new, initially ignorant, “animal” nodes.
The driving
mechanism is based on CODIL, a computer language that mimics human working
memory. It suggests how information can be used to make decisions within
brains, and how it can be passed between brains so that it is not lost on
death. It identifies limits on animal intelligence, predicts failings of the
human mind, and identifies key tipping points in the development of tools and language,
and brain size changes. Human intelligence results from recycling cultural
information through the network over many thousands of generations.
Of course such a short text only scratches the surface, and further information on my research, and supporting details will be appearing on this blog, if it is not already here.
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