A Worm's Mind In a Lego Body
mikejuk writes The nematode worm Caenorhabditis elegans (C. elegans) is tiny and only has 302 neurons. These have been completely mapped, and one of the founders of the OpenWorm project, Timothy Busbice, has taken the connectome and implemented an object oriented neuron program. The neurons communicate by sending UDP packets across the network. The software works with sensors and effectors provided by a simple LEGO robot. The sensors are sampled every 100ms. For example, the sonar sensor on the robot is wired as the worm's nose. If anything comes within 20cm of the 'nose' then UDP packets are sent to the sensory neurons in the network. The motor neurons are wired up to the left and right motors of the robot. It is claimed that the robot behaved in ways that are similar to observed C. elegans. Stimulation of the nose stopped forward motion. Touching the anterior and posterior touch sensors made the robot move forward and back accordingly. Stimulating the food sensor made the robot move forward. The key point is that there was no programming or learning involved to create the behaviors. The connectome of the worm was mapped and implemented as a software system and the behaviors emerge. Is the robot a C. elegans in a different body or is it something quite new? Is it alive? These are questions for philosophers, but it does suggest that the ghost in the machine is just the machine. The important question is does it scale?
Emulating the connectivity and functionality of neurons is pretty awesome, but it would seem the next logical step would be to map and interpret how memories are stored and processed, as well as organ feedback (skin, smell, glands). What's really interesting about this is that it shows, at least to some degree, that a simple brain can be reproduced using mathematical relationships (programming) and "run" with a I/O feedback loop. As far as the philosophical stuff, I think eventually we'll be forced to accept that life is a type of machine and that the "ghost" is an illusion emerging from its complexity. Other than better neuroscience, the main thing holding us back is pride.
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As the article mentions, this isn't too interesting to AI developers. We already know how neural networks work and some are turning complete so they can do anything. What we aren't good at is designing them. Add a connection here or there, set the weight to .000803 or .0040075, switching to pulsating, or whatever. We don't know. Instead we run thousands upon thousands of simulations that use other AI algorithms to make the networks for us.
We haven't scaled up to human levels because there's so much more to complex brains. There's some sort of cross talk with chemicals, other chemicals coating neurons to make them fire differently, neurons growing together or apart, cells dying, new cells emerging, etc... Now maybe all that's not needed, good enough is fine for evolution, but were not at that level yet.
There are human-level brain simulations being worked on, but I haven't been following them closely. I don't think they're implementing everything. Actually, I know they aren't because we keep discovering new things. Are they working off and standard model of the human brain or a specific person's brain?
It would be more ground breaking if someone did the reverse. Engineer a neural network then grow it into another animal. That would be new, but due to the nature of neural networks, we also already know it would work.
it's about moral ones. If we make a perfectly simulated animal brain and it works just like the real thing does that mean we've made an animal? Do we consider that animal to be alive? Does it have less "worth" than a flesh and blood creature? Better that we answer these questions now than when we have robots asking us if they have a soul.
A bullet may have your name on it but splash damage is addressed "To whom it may concern."