There are 'representations', but we use the word too casually. Often what we really mean are 'signs'.
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Replying to @TJRyan_77 @WiringTheBrain and
No, we don’t. “Representations” is a great concept because it denotes both the process (hierarchical abstraction) and the result (symbol). “Signs” I don’t think captures the same meaning.
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Replying to @punkstrategy @TJRyan_77 and
Signs or symbols have the same issue though - they *mean* something. How is that meaning communicated?
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Replying to @WiringTheBrain @TJRyan_77 and
Contextually. Think of a graph data structure (entities and relationships) where each node is a graph itself (meaning each entity is a graph of entities) as well as one node in a higher level graph. That’s what a hypergraph is (universal data structure)
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Replying to @punkstrategy @TJRyan_77 and
I'm not getting what you're driving at here, sorry. Can you explain a bit more?
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Replying to @WiringTheBrain @TJRyan_77 and
My takeaway from this conversation is that computer scientists need to think more about gene expression in the brain as an architecture of innateness, and neuroscientists have to think more about data structures in the real world
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Replying to @punkstrategy @TJRyan_77 and
Okay, but everyone needs to think about the neural architecture that can implement all these abstract computations (the genes only build the circuits, they don't run 'em)
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Replying to @WiringTheBrain @punkstrategy and
And I think we should be prepared for the possibility that brains do these operations in very different ways from computers
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Replying to @WiringTheBrain @punkstrategy and
everybody is prepared for that; most people don’t seem prepared for the possibility that there might actual be some important points of similarity...
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Replying to @GaryMarcus @WiringTheBrain and
aw, that viewpoint dominated classical AI, cogsci, philosophy, linguistics and more for decades. Library shelves are heaving with the stuff, so let’s skip the plucky underdog thing
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i was speaking in the present tense
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