Look, guys and Ben. This is all fun and cute, but I'm wondering if we can't
think even bigger?

For example, is it possible to construct an irrational lambda calculus that
can be paired with our current lambda calculus and modal logic to create
agents that will evolve more towards what I call "emergent silicon
organisms" or ESO's?

If I'm all wet, *go ahead and say so*, I don't bruise easily.

-GJS

On Sun, May 10, 2015 at 5:25 PM, Boris Kazachenko <[email protected]>
wrote:

> OK, but in general terms, that's what DL is doing anyway. You want to the
> same thing without its flaws, but how?
> You know what I think, these flaws are produced by coarse statistical
> operations of ANN, & the solution is to start with fine-grain one-to-one
> cross-comparison.
>
> On Sun, May 10, 2015 at 12:33 PM, Ben Goertzel <[email protected]> wrote:
>
>>
>>
>> On Sat, May 9, 2015 at 9:45 PM, Boris Kazachenko <[email protected]>
>> wrote:
>>
>>> Ben,
>>>
>>> a) Episodic memory requires transition from hierarchical to sequential
>>> processing, which is problematic for ANN. Conventional solution is to model
>>> dendrites: they do all the heavy sequential processing, while neuron itself
>>> is more like networking node. Jeff Hawkins does that.
>>> In my model, this dilemma does not exist: every level of a hierarchy is
>>> already a sequence: www.cognitivealgorithm.info
>>>
>>> b) Your solution to pathologies is basically supervision, by some image
>>> grammar. It's a hack, general intelligence must be able to learn without
>>> supervision. I think real solution is in proper node design.
>>>
>>
>>
>> No, my suggested solution is NOT supervision by an image grammar.
>> Rather, my preferred approach involves creation of unsupervised learning
>> algorithms that implicitly form image grammar type structures within their
>> networks.  Sorry if my write-up was not clear on that point.  I agree that
>> most learning in an AGI must occur without supervision, though supervision
>> can also play a supporting role
>>
>> -- Ben
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