Glen wrote:
> Until we can measure the analog (robot/computer) in the same way we can
> measure the referent (people), e.g. by asking them whether they feel they
> have free will, we'll be comparing apples to oranges.
And I believe this folds us back into the discussion about Dancing
Robots. We might do motion-studies on the Dancing Robots and discover
that they are *better* dancers in the sense of more faithfully following
the (implied or explicit) choreography than humans would/might/could,
and in fact *that* would suggest a *lack* of Free Will. In that sense
robots have *too much* rhythm (or more precisely, their rhythm is too
precise?). Of course, clever programmers can then add back in some
noise to their precision, and even build a model of the variations in
human dance-moves and *induce* that level of variation in the robot's
move. We might even add a model of syncopation to make it algorithmic
rather than statistical. At some point, diminishing returns on
"careful scrutiny" cause us to give them a pass on a "Turing Test" for
robot-dancing.
Measured over an ensemble of kids on American Bandstand dancing to
"Twist and Shout!" in the 1960s we might have to add not just a model
of syncopation but a model of the emotional states *driving* that
syncopation, including the particular existential-angst experienced by
teens growing up in that post-war Boom/Duck-n-Cover era. And would it
be complete without including models of children of Holocaust Survivors
and crypto-Nazis living in the US? Recursion ad nauseum, ad infinitum.
I don't see how adding quantum superposition and wave function collapse
makes any of this easier? <snark> Maybe we could ask a Penrose
Chatterbot? <snark>
- Steve
>
>
> On 4/5/21 8:43 AM, Marcus Daniels wrote:
>> Glen writes:
>>
>> "Instantiating artifacts that exhibit the markers for an interoceptive sense
>> of agency ("free will") is obviously difficult."
>>
>> I don't see how agency itself is particularly hard. Some executive process
>> needs to model and predict an environment, and it needs to interact with
>> that environment. Is it hard in a way different from making an adaptable
>> robot? Waymo, Tesla, and others are doing this.
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