How do you score any given AI System test run? 

Dan Goe 

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>From : James Ratcliff <[EMAIL PROTECTED]>
To : [email protected]
Subject : Re: [agi] Reward versus Punishment? .... Motivational system
Date : Mon, 12 Jun 2006 06:13:45 -0700 (PDT)
> Will,
>   Right now I would think that a negative reward would be usable for 
this aspect.  I am using the positive negative reward system right now for 
motivational/planning aspects for the AGI. 
> So if sitting at a desk considering a plan of action that might hurt 
himself or another, the plan would have a negative rating, where another 
safer plan may have a higher rating. 
>   One possible thing here as well is to have asmall random value added, 
so that even though a plan has a suboptimal value, it woul dbe possible to 
take that route instead. (maybe adding in the value of having a new 
experience here as well) 
> 
> One important thing we will need here, is an entire KR that will 
represent all the AGI's past actions, and a way to look back over the 
actions and compare them to thier expected outcomes, and see why something 
is different. (Reflection) 
> IE If the robot proposes to cross the road at a point, sees it as a good 
plan, and does it, but nearly gets hit by a car, it needs to be able to 
look back over its actions, and determine that something was missing from 
his equation, and try to add it back in, or ask a human for assistance, so 
in the future, he can better handle this activity. 
> 
> James Ratcliff
> On Fri, 09 Jun 2006 19:13:19 -500, [EMAIL PROTECTED]  wrote:
> >
> > What about punishment?
> 
> Currently I see it as the programs in control of outputting (and hence
> the ones to get reward), losing the control and the chance to get
> reinforcement. However experiment or better theory would be needed to
> determine whether this is sufficient or negative reward would be
> needed.
> 
>  Will
> 
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> 
> 
> Thank You
> James Ratcliff
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