[ExI] AI Agents with Multiple 'Selves' Learn faster

BillK pharos at gmail.com
Tue Jul 11 16:41:07 UTC 2023

AI Agents With ‘Multiple Selves’ Can Rapidly Adapt to a Changing World
By Shelly Fan     July 11, 2023


The idea is seemingly simple. Rather than a monolithic AI—a single
network that encompasses the entire “self”—the team constructed a
modular agent, each part with its own “motivation” and goals but
commanding a single “body.” Like a democratic society, the AI system
argues within itself to decide on the best response, where the action
most likely to yield the largest winning outcome guides its next step.

In several simulations, the modular AI outperformed its classic
monolithic peer. Its adaptability especially shined when the
researchers artificially increased the number of goals that it had to
simultaneously maintain. The Lego-esque AI rapidly adapted, whereas
its monolithic counterpart struggled to catch up.

This adaptability further shone when the team challenged both AI
agents in changing environments. In one test, the resource goal
positions moved to a random grid location at sporadic time scales. The
modular AI quickly picked up on the changes and adapted to them,
whereas the monolithic agent performed far worse.

“Do I contradict myself?
Very well then I contradict myself,
(I am large, I contain multitudes.)”

― Walt Whitman, Leaves of Grass


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