What we want "opportunity" to be is something that can be compared to
other opportunity through a defined methodology. Opportunity is an
attempt to abstract the thousands of things we know about the real world.
Opportunity (probability, value, risk)
If I know how likely it is that I will acquire the value associated with
an opportunity, and if I know how valuable the positive outcome is, and
if I know my exposure to damage, then I can choose between various
opportunity. If my subsystems produce accurate opportunity figures,
then my choice is simplified.
Getting accurate assessments of each of these factors is the hard part.
Where does opportunity come from?
Mostly it is collected. We learn through reading and observation
that there are benefits out there. We can accept or reject "claims" of
opportunity, and we can moderate the opportunity according to what our
own assessment of risk and benefit is...
Preparation contributes toward future opportunity. We collect tools,
methods, recipe, and so forth so that we can one day have all the pieces
to execute the opportunity.
An artificial mind will be endowed with opportunity by the programmer.
Later when the mind is capable of evaluation, it may collect opportunity
according to it's own judgment.
Note that benefit is highly personalized and the reason that a "mind" is
somewhat singular. For a given mind there are opportunity that only
work for the situation of that unit.
anyway, enough about opportunity - if anyone wants to see the value and
difficulty of it, simply attempt to flesh out an opportunity in detail.
Stan
On 06/12/2012 02:07 PM, Piaget Modeler wrote:
Interesting...
Opportunity(rewards, risks, costs)
Seems like it's missing something. How does one attain the opportunity?
Should it be the following?
Opportunity(goal, rewards, risks, costs)
Also, since we have opportunities wouldn't we also have Threats? Is that
the
other side of the same coin, or would one notion handle them both?
-------------------------------------------
AGI
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