Others behaviors come to mind, like the agent that requires or expects fully 
contextualized unambiguous linear arguments.   This could be due to long term 
memory limitations, due to a desire to teach (supervisory learning), or an 
agent that defaults to priors in absence of systematic communication.   
Premature registration could be a sign of a simple hardware failure or 
inequitable / entitled expectations of the correspondent.   In organizations, 
some roles might well be encouraged even if they aren't adaptive in general, 
e.g. the boss vs. the nuanced facilitator.

-----Original Message-----
From: Friam [mailto:friam-boun...@redfish.com] On Behalf Of glen ?
Sent: Wednesday, June 14, 2017 4:32 PM
To: The Friday Morning Applied Complexity Coffee Group <friam@redfish.com>
Subject: Re: [FRIAM] sometimes an onion is just an onion...


Beautiful!  Surely we don't need much imagination ...  Surely (!) there exist 
modal pattern recognizers we could (almost) drop into a simulation to at least 
implement your 4 agent types.  All we need is the right combination of search 
keywords to find them.  I wonder if Edelman's "neural darwinism" simulation 
system, which supposedly allowed an objective function to select amongst 
various multi-neuron clusters, would work.  Of course, I tried a few years ago 
to find code for the simulation(s) he claimed to have, and failed.

On 06/14/2017 03:13 PM, Marcus Daniels wrote:
> One can imagine a neural net with similar inputs and outputs but different 
> depths of hidden layers inhibiting & exciting internal neurons of the 
> network.  These would represent relevant contrastable features tied to 
> previous similar experiences.  Together they'd compete to activate one or 
> several neurons that correspond to one or several registrations.   
> 
> A lack of experience with ambiguity in inputs would be one explanation why 
> premature registration would occur.  [Naïve agents]   Another might be no 
> particular pressure to distinguish similar categories -- no cost for bad 
> predictions -- so no reinforcement of connections to other neurons.  
> [Unengaged agent]  Another might be that training had occurred on similar but 
> distinct data and re-training wasn't believed to be needed -- the learner had 
> been educated in a curriculum-based (programmed) way and believed that the 
> features in the environment were easier to contrast than they really were.  
> [Smug agent] 
> Finally, there's the no neurons available possibility... [Disabled 
> agent]
> 
> -----Original Message-----
> From: Friam [mailto:friam-boun...@redfish.com] On Behalf Of glen ?
> Sent: Wednesday, June 14, 2017 2:43 PM
> To: The Friday Morning Applied Complexity Coffee Group 
> <friam@redfish.com>
> Subject: Re: [FRIAM] sometimes an onion is just an onion...
> 
> 
> On 06/14/2017 01:29 PM, Marcus Daniels wrote:
>> The meaning is clear, but is this a term that is used in particular 
>> communities?   The reason I ask is that I deal with people all that time 
>> that do this, and I'd like to be able to whack a book over their head, since 
>>  they like to do that to others.
> 
> On 06/12/2017 10:39 AM, glen ☣ wrote:
>> Cf Brian Cantwell Smith in: 
>> https://global.oup.com/academic/product/philosophy-of-mental-represen
>> t
>> ation-9780198250524?cc=us&lang=en&
> 
> It's not clear to me how common the usage is.  In B.C. Smith's "On the Origin 
> of Objects", he calls it "inscription error" instead.  In the book cited 
> above, he states that he prefers "premature registration", mainly because it 
> applies not only to programming/inscribing, but to things like what happened 
> in this discussion (where Nick and Steve prematurely clamped on an onion 
> metaphor I didn't intend).  I still prefer inscription error when I use it in 
> a simulation context because the meaning is more clear.  In logic or 
> rhetorical contexts, the standard "petitio principii" still works.


--
☣ glen

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