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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. Gary Marcus‏ @GaryMarcus 29 Nov 2019
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      Gary Marcus Retweeted Gary Marcus

      *nobody* knows the #AI and #ML answers, but here is my proposal for research direction, per @kchonyc’s query, and per The Algebraic Mind; more consistent w @pmdomingos and @egrefen and Josh Tenenbaum etc than pure deep learning. (also perhaps in line with @mpshanahan?)https://twitter.com/GaryMarcus/status/1200636202744868864 …

      Gary Marcus added,

      Gary Marcus @GaryMarcus
      Replying to @kchonyc
      - look at relationships between variables, a la ILP and MLNs and some recent work in differentiable programming - include a type-token distinction - don’t waste your time with bags of features; only consider architectures with structured representations - learn a common sense db
      5 replies 4 retweets 35 likes
    2. Joscha Bach‏ @Plinz 29 Nov 2019
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      Replying to @GaryMarcus @kchonyc and

      I don't buy the common sense db idea. I think that common sense is a living thing, generated on the fly, not knowledge stored in a data base. (Then again, even Minsky told me it's a good idea, and who am I to disagree with Minsky. I also admit that I have little common sense.)

      2 replies 1 retweet 10 likes
    3. Gary Marcus‏ @GaryMarcus 29 Nov 2019
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      Replying to @Plinz @kchonyc and

      it’s got to be some of both. we can’t generate it all on the fly, and we have to generate some of it on the fly kudos to you by the way in taking the high road here & actually engaging in the substance of the proposed changed in direction; that’s exactly what the field needs.

      1 reply 0 retweets 5 likes
    4. connectedregions‏ @connectedregio1 29 Nov 2019
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      Replying to @GaryMarcus @Plinz and

      Wait what would be common sense that you can generate on the fly and the common sense that you can't? I agree with Tenenbaum and Minsky in that its all stored db and new common sense is generated from the existing base

      1 reply 0 retweets 0 likes
    5. Joscha Bach‏ @Plinz 30 Nov 2019
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      Replying to @connectedregio1 @GaryMarcus and

      Common sense is incredibly rich and contains many highly improbable inferences. While one in every handful of concepts tends to be grounded in some kind of experience, the relational tapestry seems to grow like a fetid forest from multitudes of real-time inferential explorations.

      1 reply 0 retweets 4 likes
    6. Gary Marcus‏ @GaryMarcus 30 Nov 2019
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      Replying to @Plinz @connectedregio1 and

      Why so much emphasis on real-time? I bet my 5 and 6-year olds already have 1/3 or so of the common sense they need, eg they are quite fluent in manipulating objects, avoiding obstacles, negotiating with people. If we get machines to even that subset it would be a HUGE advance.

      1 reply 0 retweets 2 likes
    7. Joscha Bach‏ @Plinz 30 Nov 2019
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      Replying to @GaryMarcus @connectedregio1 and

      Common sense knowledge is a type of knowledge (= second order model), i.e. it is secondary to the tacit models that we use to navigate the world. But much of this knowledge is generated from tacit models on the fly ("will a dog hurt itself if it jumps from an 8 feet high ledge?")

      1 reply 0 retweets 4 likes
      Joscha Bach‏ @Plinz 30 Nov 2019
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      Replying to @Plinz @GaryMarcus and

      Trying to build an exhaustive database of factoids about small mammals, their biomechanics and crash tolerance is probably a pointless exercise. You want to run mental simulations and generate inferences on that, which can be instantly updated upon observation or new facts.

      2:56 PM - 30 Nov 2019
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      • Jeroen Vlek
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