I was trying to follow the animal pattern way of doing this and getting some additional capabilities so pattern recognition does not involve reasoning for example. So people for years have been trying to combine more traditional AI which involves reasoning with the pattern recognition of artificial neural networks. I don't think there's been a whole lot of success doing that. In the meantime another group of people have realized that probably if you're going to get brainlike behavior you are going to have to emulate the brain. So they're doing research on actually doing essentially what I did but for a human brain and I look for that to produce some interesting results.
George Mobus is Professor Emeritus at University of Washington, Tacoma. His broad academic background saw him conduct research on artificial intelligence, cybernetics and systems science.
George joins me to discuss how systems science is failing to grasp the polycrisis—that the field has been split into silos, leaving most systems scientists without the tools to model the complexity of the emergency we face.
He also explains the neurological limits of individual human wisdom, suggesting the agricultural revolution affected our capacity for abstract thinking, before revealing how humans can work past those limits—collectively.
Planet: Critical investigates why the world is in crisis—and what to do about it.
© Rachel Donald
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