Dionysian Rationality (part I)

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Uploaded by on Feb 23, 2008

In which I try to answer UrbanElf's Challenge: Exhibit a game in which the optimal winning strategy necessitates the use of random behavior!

I give an example of solving the traveling salesman problem--a deterministic solution can be beaten by a randomized algorithm.

With this example I'm aiming to prove that "Randomness in the Brain" can be more than just randomness in the brain. I want to point out that there is an inherent random component to rational behavior, which I call "Dionysian Rationality"

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Uploader Comments (randyhelzerman)

  • randy i think you have convinced me!

  • :-) awesome smotviddy! Now that you know you have free will, please use your superpower for good, not evil! :-)

  • actually i can't agree with you. i have a few major problems. perhaps ill make a vid.

  • So what did I convince you of?

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  • i thought you made an excellent point that we are not simply stimulus response machines. however, i didn't see any evidence of random behaviour. i am opposed to treating the subject as if its floating in a bubble outside the greater system it is a part of. i think such a premise is responsible for your conclusion there's non-determinism in play.

  • Excellent!

  • I know I probably should, long time no video make. :)

  • Well naphra2, there's a good research project for you :-) why don't you investigate it and make a vid! :-)

  • Rather, I'd look for perhaps some sort of a vestigial use for neurons that would have benefited from neurons that are closer and closer to neurons that satisfy the conditions for nondeterminism, perhaps under a selective process not even selecting for better randomness. But there's still the problem that the nondeterminism itself would, I think, then emerge abrubtly and not gradually, and so it could ruin the achieved selective advantage, and the achieved nondeterminism would likely not survive.

  • Yes, that's true, I can see that. But I think I can see some problems, too: good pseudorandom-number generators are always more and more complex, the proposed nondeterministic generator is simple. In order to get a good deterministic generator, you need more and more neurons; in order to get a nondeterministic generator, you need just one neuron. So evolving a better deterministic generator wouldn't necessarily aid, or even relate to, evolving a nondeterministic generator.

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