Project Summary
Meta-optimizing semantic evolutionary search (MOSES) is a new approach to program evolution, based on representation-building and probabilistic modeling. MOSES has been successfully applied to solve hard problems in domains such as computational biology, sentiment evaluation, and agent control. Results tend to be more accurate, and require less objective function evaluations, in comparison to other program evolution systems. Best of all, the result of running MOSES is not a large nested structure or numerical vector, but a compact and comprehensible program written in a simple Lisp-like mini-language.
For more information see: http://metacog.org/doc.html.
Interested C++ developers, please drop in at #opencog on IRC.freenode.net.
In a Nutshell, moses...
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took an estimated 10 years of effort (COCOMO model)
starting with its first commit in January, 2008
ending with its most recent commit almost 3 years ago
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These details are provided for information only. No information here is legal advice and should not be used as such.
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