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by alex_abt
476 days ago
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> magine trying to reverse-engineer the complex, often unexpected patterns and behaviors that emerge from simple rules. This challenge has inspired researchers and enthusiasts that work with cellular automata for decades. Can someone shed some light on what makes this a problem worth investigating for decades, if at all? |
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One example is that stephen wolfram argues, I think compellingly, that machine learning “hitches on to” chaotic systems defined by simple rules and rides them for a certain number of steps in order to produce complex behaviors. If this is true, easily going in the reverse direction could give us lots of insight into ML.