This is beginning to approach the strategy of the Appraisal Theorists. ~PM > Date: Fri, 26 Sep 2014 12:32:38 -0600 > From: [email protected] > To: [email protected] > Subject: Re: [agi] How many tries? > > How many tries to give prior to getting frustrated and giving up? > > couple issues > > 1. Giving Up > The entity should not "give up." Giving up implies that the > potential opportunity is written off, discarded and not to be considered > again. Why would one ever do that? Rather, let the opportunity linger > and resurface when conditions might have changed. > Nit picking? yes, but in my opinion, better to say "set aside." > > 2. Frustrated > If the AGI or entity has this emotion (I believe it should,) then > it is likely that the frustration will be the trigger for the > consideration to "set aside." Without the frustration, which would come > first, the intention might not be questioned. Don't give up or set > aside until after you are frustrated - frustration is the "evidence" you > detect that leads to reconsideration. > > 3. Set Aside > What gives the entity the ability to set aside? It is the > cognition that the recipe being used does not produce the results > expected. This creates a new opportunity - to come up with a better > recipe to produce the expected results. One might label this "creation > of a sub goal" but I find that less descriptive than to call it a new > opportunity. > > > 4. probabilities > Matt states a fairly simple equation (utility * probability < cost) > that he calls the answer. I'm not sure it's as simple as indicated - in > fact I'm sure it is not. But he is right that there is a dependency on > estimates. A "model" is mentioned as the way to get an estimate of > probability. If we wait for this imaginary model to be developed, we > wait too long to make vital choices. > > The alternative is to accept probability from any source that's > available. Better sources of probability increase ones "chance" of > making a good choice. > > Consider that even the model of a physical process is built with > probability factors that are often "accepted" and not proven - in other > words, numbers that come from observation and not by a realistic > sub-model. (example, what's the probability that water will boil at 100 C) > > ... > > > > > > > On 09/25/2014 07:51 PM, Matt Mahoney via AGI wrote: > > On Wed, Sep 24, 2014 at 11:10 PM, Piaget Modeler via AGI > > <[email protected]> wrote: > >> How many tries should you, a child, or an AGI give to an intention before > >> getting frustrated > >> and giving up? > > 3, maybe. The better answer is when the utility of succeeding times > > the probability of succeeding is less than the cost of trying. So it > > depends on how your model estimates probabilities. > > > > > > ------------------------------------------- > AGI > Archives: https://www.listbox.com/member/archive/303/=now > RSS Feed: https://www.listbox.com/member/archive/rss/303/19999924-4a978ccc > Modify Your Subscription: https://www.listbox.com/member/?&; > Powered by Listbox: http://www.listbox.com
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