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Ternary and Artificial Intelligence 
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Novelist

Joined: 11 Apr 2014 15:57
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So, I was wondering what everyone's thought are pertaining the application of ternary in the field of AI research? How it could be used to create an artificially intelligent machine/program.

I'm trying to replicate certain parts of the human brain onto a machine. For example the two most vital areas of the brain needed to be replicated onto a machine in order to achieve an artificially intelligent machine are the frontal lobe and temporal lobe.

In order to mimic the human minds decision making process a machine must have areas on its hardware to operate or perform functions that these areas of the brain do. However, this to me seems impractical to do on a binary based machine. Because it can only see data in two states. Which is why I believe ternary to be a more appropriate approach to mimic these functions.

What are your thoughts?


10 Jan 2012 19:47
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As far as I know members of Computers lab in Moscow State University did the same thing several years ago. I remember corresponding report on our conference about results of the research. It seems they had success by using ternary DSSP to simulate proper decision making. As usually the experiment was applied to geometry theorem solving and produced better result than classic use of binary logic approaches held before.


10 Jan 2012 23:38
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The only approach that can "mimic" brain functions is neural net that uses analog levels, so ternary is not applicable here...

But if we will use a higher level of logic the ternary approach could be helpful


11 Jan 2012 07:30
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Novelist

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Mbr can you provide any links to that research?


11 Jan 2012 13:56
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Novelist

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I suppose "mimic" was a bad choice of words. What I meant was to develop a way for machines to accomplish long term potentiation. Not in a way that is an exact copy of the process the human brain uses, but one that could be used for machines to create plans and make decisions.

With neural networks or at least the ones described in the link posted they are able to make decisions on the input and output right? However, it is still the user or the human providing the input that controls the machine correct? Or are they capable of obtaining information on their own?

Also, I didn't mean mimic the methods each part of the human brain uses to perform its function. I meant merely to mimic the function its self. Machines can already store memory and retrieve it, but there is nothing really there to decide what to do with that information (at least without human interaction.)


12 Jan 2012 01:27
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Some words about AI:

- http://numenta.com/htmcla.php


12 Jan 2012 04:38
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Novelist

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That is nothing short of amazing, but can ternary be applied to HTM? Or should it be applied?


12 Jan 2012 20:14
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Novelist

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Can HTM be considered genetic programming or is it something else entirely?

Also, Shaos what do you mean a higher form of logic? Do you have something in mind?


31 Jan 2012 13:00
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Jshep89 wrote:
Also, Shaos what do you mean a higher form of logic? Do you have something in mind?


I meant something like Prolog or Lisp kind of thing...


22 Feb 2012 21:06
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Google AI assistant Bard knows about Ternary computers :)
Quote:
> Can you explain ternary computers?

Ternary computers are computers that use ternary logic instead of the more common binary logic. Ternary logic uses three values: 0, 1, and -1. This allows ternary computers to perform some operations more efficiently than binary computers.

Ternary computers have been around for many years, but they have never been widely adopted. There are a number of reasons for this. One reason is that ternary computers are more complex to design and build than binary computers. Another reason is that ternary computers are not as compatible with existing software and hardware as binary computers.

However, there are a number of potential advantages to using ternary computers. One advantage is that ternary computers can perform some operations more efficiently than binary computers. Another advantage is that ternary computers can be more energy-efficient than binary computers.

As the cost of designing and building ternary computers decreases, it is possible that we will see more widespread adoption of this technology. Ternary computers could be used in a variety of applications, including artificial intelligence, machine learning, and cryptography.

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26 Mar 2023 20:19
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