In his PhD dissertation he developed a robot an autonomous agent that emulated the way a snail brain works. So it's completely different from standard AI you know it's basically pattern recognition. The neural network I built was based on trying to emulate real neurons and not just these you know quick and dirty grounds. And so in that process I really did apply a great deal of systems theory to figuring out how we were going to do this.
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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