My answer to Roger's question is "both", FWIW.  But my concern seems slightly 
different from both Marcus' and Nick's answers.  I'm more concerned with the 
granularity of the updates/iota.  Nick's 70/30-clean/scramble is pretty fscking 
coarse.  As I said early on, my beliefs/skepticism is *never* that coarse.  
Marcus' set of equivalent solutions gets closer to what I care about... a kind 
of measure of how many options one has at any given *instant* in the action 
process.  And I also care about the boundary of that set.  Which course 
corrections can I make that still lead to a satisficing objective (like 
crashing my bike without brain damage), which lead to failure (brain damage), 
which lead to optimal outcome (dodging the left-turning old lady completely), 
etc.

I maintain that some of this complicated problem solving is conscious and some 
is subconscious (muscle memory as well as the lizard brain).  And I tend to 
believe that the spectrum between the two is fine-grained.  I.e. there is no 
disjoint, binary, distinction between "things I do with full belief" versus 
"things I (don't) do with full skepticism."


On 09/22/2017 08:26 AM, Nick Thompson wrote:
> So I leap across the chasm believing that I have a 70 percent chance of 
> making the jump but knowing that I have a 30 percent chance of not making it. 
>  I think James would argue that to the extent that one paid attention to the 
> 30 percent, it is actually increased.  I.E., if you jump ambivalently, you 
> are less likely to make the jump.  And that would be because an ambivalent 
> jump is functionally different from a confident one.  For instance, to the 
> extent that you prepare yourself to grab at the cliff as you miss,  you 
> ill-prepare yourself to make the jump cleanly.  


On 09/22/2017 08:31 AM, Marcus Daniels wrote:
> Underlying such a network is some generating process, and the belief is about 
> that ongoing process, as tabulated by joint and conditional probabilities.  
> Some of the imagined degrees of freedom may not be relevant in an applied 
> setting (e.g. pilot waves or a multiverse)  and are acceptable reasons for 
> having probabilities, but others can and should be explained by hidden or 
> external variables.   The more these variables are made explicit, the more 
> precise and falsifiable the predictions can be.   Ideally, one would have a 
> network of logical predicates that deterministically lead to one or a 
> degenerate set of equivalent solutions.  


-- 
☣ gⅼеɳ

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