Has anyone ever programmed a computer system to evolve theories?

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SUMMARY

The discussion centers on the feasibility of programming a computer system to evolve scientific theories through experimental data analysis. Participants propose that such a system could generate and test theories by modifying existing ones, utilizing brute force methods to explore various hypotheses about the universe's dimensionality. The conversation highlights the challenges of defining 'theory' for a computer and the complexities of teaching machines to recognize and manipulate semantic concepts. Tools like Eureqa and the Semantic Web are mentioned as relevant technologies in this domain.

PREREQUISITES
  • Understanding of machine learning principles and automated pattern recognition
  • Familiarity with Eureqa software for automated scientific discovery
  • Knowledge of computational semantics and its applications
  • Basic concepts of dimensionality in physics (1D, 2D, 3D theories)
NEXT STEPS
  • Research the capabilities and limitations of Eureqa software in scientific theory generation
  • Explore the principles of computational semantics and its role in AI
  • Study automated pattern recognition techniques in machine learning
  • Investigate the implications of quantum computing on theory evolution and data analysis
USEFUL FOR

Researchers in artificial intelligence, physicists exploring theoretical models, and data scientists interested in automated discovery methods will benefit from this discussion.

  • #31
gk007 said:
To create new theories computer would have to think imaginatly, which goes against pretty much everything of what a computer is. A computer follows a fixed alogrithm, and although it can modify this alogrithm, a computer could never spit out something like string theory, because that requires imaginative thinking.

Nah...If your brain can do it, so can a computer. Just an engineering problem at this point.
 
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  • #32
Meatbot is correct. Imagination is simply a feature of a very complex system. Have a computer complex enough and it'll be imaginative.
 
  • #33
You would have to create a neural network with as many neurons as a human brain, which is several billion, and each of those neurons would have thousands of connections, but I suppose that is just an engineering problem...
 
  • #34
i think you could model imagination (to a degree at least) by throwing in some randomization. that's (part of) how the evolved circuits that Meatbot mentioned arrived at their "imaginative" solutions.
 
  • #35
gk007 said:
You would have to create a neural network with as many neurons as a human brain, which is several billion, and each of those neurons would have thousands of connections, but I suppose that is just an engineering problem...
There's also mimicing the subtletly of the stimuli and reinforcement between neurons.
 
  • #36
Proton Soup said:
i think you could model imagination (to a degree at least) by throwing in some randomization. that's (part of) how the evolved circuits that Meatbot mentioned arrived at their "imaginative" solutions.

Modeling imagination seems like it could be done. How about modeling creativity? What if you have it to throw out random cancepts/situations/problems that are at first glance probably unrelated to the problem at hand, and then have it look for similarities between them. It also examines the other attributes of the 2nd item that don't SEEM TO match and considers whether they might really match somehow if you thought about it.

Take a lamp and a desk fan. Both have mass. Both use electricity. Both are made of quarks. Both are plastic. Both are white. Etc... Possibly useful. Ok, now what about a quality of the fan that doesn't seem to be present in the lamp at first glance. A fan makes air move. At first glance, most people would not say a lamp makes air move and would overlook that when listing the qualities of a lamp. But it does make air move by heating it, causing it to rise. A fan also cools people off. So ask if a lamp cools people off. I bet nobody ever asked that question before. Well, I suppose it might. Maybe it makes hot air rise above it, pulling cooler air in the bottom to replace it and creating a cooling air current. Even harder: a fan creates a force that tries to accelerate it. Does a lamp do that? Maybe. Does a lamp have something that spins? Does a fan create light? Maybe doing this kind of thing creates useful insight.

You can do the same thing with cause and effect, with a variable thrown in:
"x causes mass" vs. "removing energy from water causes ice"
So, possible questions (which can be starter theories as well):
- Is mass caused by a modification of something that already exists?
- Does removing energy from something create mass?
- Is mass equivalent to a solid?
- Is there a "liquid" form of mass?

Just throwing stuff out there...a rough sketch.

An interesting related link, the Theory of Inventive Problem Solving. Some of these techniques could be applied: http://www.mazur.net/triz/
 
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