Author Topic: 80s, Sega AI Computer, built-in Prolog?  (Read 419 times)

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Offline DiTBhoTopic starter

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80s, Sega AI Computer, built-in Prolog?
« on: July 06, 2024, 04:35:15 pm »
From this video it appears that the computer has a built-in Prolog engine.
I've never seen anything like it and can't find any more information.
The author of the video has no more information than what is shown in the video.

So ...  :-//

edit:
youtube link, fixed
« Last Edit: July 07, 2024, 12:26:45 am by DiTBho »
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Offline cfbsoftware

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Re: 80s, Sega AI Computer, built-in Prolog?
« Reply #1 on: July 06, 2024, 07:38:08 pm »
There's more information on the Sega AI computer here:

https://www.smspower.org/SegaAI/Index
Chris Burrows
CFB Software
https://www.astrobe.com
 
The following users thanked this post: SiliconWizard, DiTBho

Online SiliconWizard

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Re: 80s, Sega AI Computer, built-in Prolog?
« Reply #2 on: July 07, 2024, 12:49:38 am »
Yes, heard of it too.
Prolog got traction in the 80's. Back then, that's what people called "AI". Pure logic inference, with human-defined rules. Now, "AI" is just a pile of blackboxes. Is this progress, you tell me.

Note that Prolog has a standard (ISO 13211) which is still current, and a number of compilers, still available. GNU Prolog is still maintained.
http://www.gprolog.org/
 

Offline DiTBhoTopic starter

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Re: 80s, Sega AI Computer, built-in Prolog?
« Reply #3 on: July 07, 2024, 12:50:33 pm »
Now, "AI" is just a pile of blackboxes. Is this progress, you tell me.

They are not two disjointed and separate things, they are just two different approaches that can be very well combined with each other
And it is not at all bad to use neural tensor calculation, for the "may be" of the inference engine.

Considering it was a 80s computer, I have never seen a prolog interpreter implemented in the firmware, and among other things with so few RAM and CPU resources  :o :o :o

Today's tensor calculation is possible because we have NPUs and multicore machines, however we still don't have enough shared and dedicated RAM, per NPU, to allow the calculation of second derivatives (Taylor), and we have to be satisfied only with the first derivatives of tensors ... which means very approximate results.

2027-2030, we'll have that too!
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