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Plinz's profile
Joscha Bach
Joscha Bach
Joscha Bach
@Plinz

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Joscha Bach

@Plinz

FOLLOWS YOU. Artificial Intelligence, Cognitive Architectures, Computation. The goal is integrity, not conformity.

San Francisco, CA
bach.ai
Joined April 2009

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    1. deen-chan‏ @sir_deenicus 27 Dec 2018
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      Replying to @burrhannes @IntuitMachine and

      There's also the possibility that any function that can be learned (most cannot, too high kolmogorov complexity) can also be effectively coarse grained and presented composably. The AI would, like Euler, just write up its discoveries in dozen book series.

      2 replies 0 retweets 0 likes
    2. Joscha Bach‏ @Plinz 28 Dec 2018
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      Replying to @sir_deenicus @IntuitMachine @etzioni

      Consider that we may be living in a universe where the functions that govern its dynamics can be decomposed into simple ones (that still yield observables). Even if not, the remainder will have to be treated as noise.

      1 reply 0 retweets 0 likes
    3. Carlos E. Perez‏ @IntuitMachine 28 Dec 2018
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      Replying to @Plinz @sir_deenicus @etzioni

      That would imply a universe of non-Turing machines.

      1 reply 0 retweets 0 likes
    4. Joscha Bach‏ @Plinz 28 Dec 2018
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      Replying to @IntuitMachine @sir_deenicus @etzioni

      There are only finite state machines.

      2 replies 0 retweets 0 likes
    5. Ahmed Ghannam‏ @FieryPhoenix7 28 Dec 2018
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      Replying to @Plinz @IntuitMachine and

      I personally don't think of computers as Turing machines, although in practice it isn't a wrong statement. In a strict sense, we live in a universe of finite-state machines. It's the only model of computation that exists in the material world.

      1 reply 0 retweets 0 likes
    6. Carlos E. Perez‏ @IntuitMachine 28 Dec 2018
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      Replying to @FieryPhoenix7 @Plinz and

      So what's the argument for this conjecture?

      1 reply 0 retweets 0 likes
    7. Ahmed Ghannam‏ @FieryPhoenix7 28 Dec 2018
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      Replying to @IntuitMachine @Plinz and

      For all practical purposes, computers are equivalent to Turing machines. But this isn't technically accurate due to the limited amount of memory. E.g. No physical computer can recognize the language L = {a^nb^n | n >= 0} because n will, at some point, exceed its memory capacity.

      2 replies 0 retweets 0 likes
    8. Carlos E. Perez‏ @IntuitMachine 28 Dec 2018
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      Replying to @FieryPhoenix7 @Plinz and

      Well finite state machines are not equivalent to finite Turing machines. Furthermore, when people talk about Turing machines, they expect finite computation. So this is nitpicking at best.

      1 reply 0 retweets 0 likes
    9. Ahmed Ghannam‏ @FieryPhoenix7 28 Dec 2018
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      Replying to @IntuitMachine @Plinz and

      You are correct that they are not equivalent: that is the point I was making. Also, a Turing machine is guaranteed to halt for ALL regular and context-free languages, but it may or may not halt for an arbitrary recursively enumerable language.

      1 reply 0 retweets 0 likes
    10. Carlos E. Perez‏ @IntuitMachine 28 Dec 2018
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      Replying to @FieryPhoenix7 @Plinz and

      Finite state machine then be the wrong term you seek. What you mean is machines that have finite computation or Turing machines that halt. Even for FSM you can have non-halting behavior (i.e. a* ).

      2 replies 0 retweets 0 likes
      Joscha Bach‏ @Plinz 28 Dec 2018
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      Replying to @IntuitMachine @FieryPhoenix7 and

      The halting problem is only relevant wrt to a particular description. Some system behavior is not well compressible via deterministic algorithmization.

      11:44 AM - 28 Dec 2018
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      • Ahmed Ghannam Manushaqe Muco
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