Category Archives: Documentation

The MOSES Metapopulation

Or, how to select a promising species for mutation. Continue reading

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Genetic Crossover in MOSES

MOSES is a system for learning programs from input data. ¬†Given a table of input values, and a column of outputs, MOSES tries to learn a program, the simplest program that can reproduce the output given the input values. …

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Tuning Metalearning in MOSES

I’ve been studying MOSES recently, with an eye towards performance tuning it. Turns out optimization algorithms don’t always behave the way you think they do, and certainly not the way you want them to.

Given a table of values, MOSES …

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The AGI Summer School 2009

In the middle of last year, Xiamen University hosted the first international summer school on Artificial General Intelligence. While several of the core OpenCog developers, and Ben Goertzel were there to teach, it passed by somewhat quietly on our …

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Semantic dependency relations

I spent the weekend comparing the Stanford parser to RelEx, and learned a lot. RelEx really does deserve to be called a “semantic relation extractor”, and not just a “dependency relation extractor”. It provides a more abstract, …

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