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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. Joscha Bach‏ @Plinz 29 Jun 2018
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      Joscha Bach Retweeted Data Science Fact

      Data do not understand cause and effect; functions do.https://twitter.com/DataSciFact/status/1012713607963009024 …

      Joscha Bach added,

      Data Science Fact @DataSciFact
      “You are smarter than your data. Data do not understand causes and effects; humans do.” — Judea Pearl
      1 reply 1 retweet 21 likes
    2. Matt Guttman‏ @RealtimeAI 29 Jun 2018
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      Replying to @Plinz

      Do you think it’s meaningful to distinguish between the function that is instantiated in a given system and the system itself? That is, *the person* (as a brain/body instantiating a function) understands. This might be pedantic.

      1 reply 0 retweets 0 likes
    3. Joscha Bach‏ @Plinz 29 Jun 2018
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      Replying to @RealtimeAI

      It is the other way around: while the brain implements the model function (and the modeling functions), the person that understands is instantiated by the functions.

      2 replies 0 retweets 3 likes
    4. Robert Janda‏ @RJsnda 29 Jun 2018
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      Replying to @Plinz

      Too many functions...

      1 reply 0 retweets 0 likes
    5. Robert Janda‏ @RJsnda 29 Jun 2018
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      Replying to @RJsnda @Plinz

      Am I wrong when I think brains ( their particular and unique functions) understand the world each by its own way, i.e. differently? Or do you mean some universal function - principle of understanding?

      1 reply 0 retweets 1 like
    6. Robert Janda‏ @RJsnda 29 Jun 2018
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      Replying to @RJsnda @Plinz

      ...i.e. the ability to understand symbols and abstracts?

      1 reply 0 retweets 0 likes
    7. Joscha Bach‏ @Plinz 29 Jun 2018
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      Replying to @RJsnda

      To really understand means to map a domain on something you already know how to compute. Models are functions that explain how information relates to change in other information. The thing that thinks it understands is itself a model though.

      2 replies 0 retweets 2 likes
    8. Bion at bitpharma.com‏ @bitpharma 29 Jun 2018
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      Replying to @Plinz @RJsnda

      That last comment was good. More of that please, less vague Jedi tweets please

      1 reply 0 retweets 1 like
      Joscha Bach‏ @Plinz 29 Jun 2018
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      Replying to @bitpharma @RJsnda

      One person's vague Jedi tweet another's boringly logical conclusion is. (Which ones do you find too vague? I realize that I often don't supply enough context.)

      10:22 PM - 29 Jun 2018
      • 2 Likes
      • Matt Guttman Bion at bitpharma.com
      2 replies 0 retweets 2 likes
        1. New conversation
        2. Joscha Bach‏ @Plinz 29 Jun 2018
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          Replying to @Plinz @bitpharma @RJsnda

          Eg, the beginning of this thread was fueled by my annoyance about Pearl's implicit human innateness claim, supported by the wrong intuitive argument. Of course data are inert! but transitions are not, and causality is just a particular kind of transition model, not human magic.

          2 replies 0 retweets 2 likes
        3. Joscha Bach‏ @Plinz 29 Jun 2018
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          Replying to @Plinz @bitpharma @RJsnda

          Spelling this out in detail for someone who is still puzzled by the concept of causality and has not read any Pearl might require a full page, but then again, is it really so complicated that it demands all that verbosity?

          0 replies 0 retweets 0 likes
        4. End of conversation
        1. Robert Janda‏ @RJsnda 29 Jun 2018
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          Replying to @Plinz @bitpharma

          Of course, it is not possible here. To me the reason and meaning of this and similar communications lies in their openness. I appreciate it very much.

          0 replies 0 retweets 0 likes
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