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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. Mike Solana‏ @micsolana 23 Jan 2019
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      Replying to @Plinz @michael_nielsen

      hard to get excited about an effort of wittgentstein's to build a language after philosophical investigations

      1 reply 0 retweets 2 likes
    2. raymond shpeley‏ @raymondshpeley 23 Jan 2019
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      Replying to @micsolana @Plinz @michael_nielsen

      i think the juxtaposition of the two tomes is instructional. one captures russell's logic and the other refutes it with social. we see this progression in computing science. from object based structures to social. does a word define an object or does its use bring about the word?

      1 reply 0 retweets 0 likes
    3. Joscha Bach‏ @Plinz 23 Jan 2019
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      Replying to @raymondshpeley @micsolana @michael_nielsen

      I might just be caught in an immature stage, but I don’t think social can be foundational in any way. The problem is dealing with domains that don’t readily yield to low dimensional, discrete operators.

      1 reply 0 retweets 0 likes
    4. raymond shpeley‏ @raymondshpeley 23 Jan 2019
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      Replying to @Plinz @micsolana @michael_nielsen

      define discrete

      1 reply 0 retweets 0 likes
    5. Joscha Bach‏ @Plinz 24 Jan 2019
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      Replying to @raymondshpeley @micsolana @michael_nielsen

      Grammatical language requires discretization, and not by sampling into large integers, but by decomposition into groups of very few items (chunks).

      1 reply 0 retweets 2 likes
    6. raymond shpeley‏ @raymondshpeley 24 Jan 2019
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      Replying to @Plinz @micsolana @michael_nielsen

      ok, lets go with that definition for now. next question is, what are you discretising?

      1 reply 0 retweets 0 likes
    7. Joscha Bach‏ @Plinz 24 Jan 2019
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      Replying to @raymondshpeley @micsolana @michael_nielsen

      Arbitrary domains, but it fails most obviously for visual perception.

      1 reply 0 retweets 0 likes
    8. raymond shpeley‏ @raymondshpeley 24 Jan 2019
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      Replying to @Plinz @micsolana @michael_nielsen

      so arbitrary perceptual domains. i presume conversations may be one? if not, can you give an example?

      1 reply 0 retweets 0 likes
    9. Joscha Bach‏ @Plinz 25 Jan 2019
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      Replying to @raymondshpeley @micsolana @michael_nielsen

      Natural language has continuous emphasis but is otherwise discrete. Comprehending it requires a model of what is being talked about, which may well be the whole of our experience.

      1 reply 1 retweet 1 like
    10. raymond shpeley‏ @raymondshpeley 26 Jan 2019
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      Replying to @Plinz @micsolana @michael_nielsen

      and this model is composed of discrete parts much like a continuous real number line which contains integers?

      1 reply 0 retweets 0 likes
      Joscha Bach‏ @Plinz 26 Jan 2019
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      Replying to @raymondshpeley @micsolana @michael_nielsen

      An infinite precision real number is not composed by adding integers (which gives integers) or averaging them (which gives rational numbers), but by a generator function that yields a suitable operation over an infinite series.

      12:58 PM - 26 Jan 2019 from San Francisco, CA
      1 reply 0 retweets 0 likes
        1. raymond shpeley‏ @raymondshpeley 26 Jan 2019
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          Replying to @Plinz @micsolana @michael_nielsen

          ok, but that's not what i was saying. you said that natural language has continuous emphasis but is otherwise discrete. i asked if the model for natural language was composed of discrete parts. the set of integers in a real number set is an example of discrete and continuous.

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