Subject:
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Re: AI
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Newsgroups:
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lugnet.robotics
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Date:
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Mon, 18 Oct 1999 03:09:31 GMT
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Viewed:
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565 times
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Tony-
AI is a huge field, encompassing a variety of algorithms and techniques.
Some of them will work OK on the RCX, others take just too much
computation, especially when floating point is required.
Also, when you talk about functions and all that, well- what OS are you
using? the standard lego software? NQC? legOS? Forth?
A class I'm the teaching assistant for has recently implemented two major
AI techniques- subsumption and reinforcement learning- using legOS and C.
I hope to write up some good examples for these, but in the meantime,
know that it can be done, and with interesting and compelling results.
-Luis
On Sun, 17 Oct 1999, ts wrote:
> Date: Sun, 17 Oct 1999 02:49:21 GMT
> From: ts <lego-robotics@crynwr.com>
> To: lugnet.robotics@lugnet.com
> Subject: AI
>
> Can we make these things learn?
>
> I'm no expert on AI or nothing, but perhaps by making, for example, program 1 write program 2, write to program 3 etc, and use a some kind of a genetic algorithm to determine best output. Or would all this be infeasible with the RCX unit?
>
> Also, what kind of space do we have for our programs? Can we concatenate programs to make bigger ones?
>
>
> Tony
>
>
> --
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Message has 1 Reply:
 | | AI and even more exiciting stuff
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| ----- Original Message ----- From: Luis Villa <liv@duke.edu> To: ts <ts@zylotech.com.au> Cc: <lugnet.robotics@lugnet.com> Sent: Monday, 18 October 1999 13:09 Subject: Re: AI (...) I am using NQC at the moment. I have just found, and I am downloading (...) (25 years ago, 18-Oct-99, to lugnet.robotics)
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Message is in Reply To:
| | AI
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| Can we make these things learn? I'm no expert on AI or nothing, but perhaps by making, for example, program 1 write program 2, write to program 3 etc, and use a some kind of a genetic algorithm to determine best output. Or would all this be (...) (25 years ago, 17-Oct-99, to lugnet.robotics)
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