moses

I Use This!

Inactive

Analyzed about 5 hours ago. based on code collected about 5 hours ago.

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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has had 16,698 commits made by 122 contributors
representing 41,526 lines of code
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is mostly written in C++
with a very well-commented source code
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has a well established, mature codebase
maintained by nobody
with stable Y-O-Y commits
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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 about 2 years ago

Quick Reference

Project Links:

Homepage

Code Locations:

https://github.com/opencog/moses

Similar Projects:

Managers:

Linas Vepstas

Licenses

Apache License 2.0

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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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Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

Security Confidence Index

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Vulnerability Exposure Index

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Few reported vulnerabilities

About Project Vulnerability Report

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