Measures of fitness used to optimise systems can be many and varied. In an application where a mobile robot needs to navigate from one location to another using its sensors you can use measures such as:
- the number and type of features detected within the robot's vacinity
- amount of time to make a decision (how much processing is required or level of detail of the analysis)
- the number of localization failures (the robot could not decide exactly where it was)
Ideally all these should be minimized as much as possible.
On Thu, 06 Jul 2006 10:18:22 -500, [EMAIL PROTECTED] <[EMAIL PROTECTED]
> wrote:
I am new to AI.
Just trying to draw on the knowledge to see what has been done and can be
done, to better understand the developing technology.
I do believe the fitness function(s) key to directing AI evolution.
Dan Goe
----------------------------------------------------
From : Eugen Leitl < [EMAIL PROTECTED]>
To : [email protected]
Subject : Re: [agi] Measuerabel Fitness Functions?.... Flow charts?
Source Code? .. Computing Intelligence? How too? ................. ping
Date : Thu, 6 Jul 2006 16:32:52 +0200
> On Thu, Jul 06, 2006 at 10:28:57AM -0400, Danny G. Goe wrote:
>
> > What are the measurable fitness functions that can be built into AI?
>
> You don't seem to be really communicating, only going through the
motions.
>
> --
> Eugen* Leitl <a href="" href="http://leitl.org">http://leitl.org">leitl</a> http://leitl.org
> ______________________________________________________________
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