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A Common Lisp framework for experimenting with meta-optimizing semantic evolutionary search ([http://metacog.org/doc.html MOSES]) and related approaches to learning with probability distributions over program spaces based on:
* reduction to normal form
* representation-building
* deme (su...
Google,
CommonLisp,
MachineLearning,
ArtificialIntelligence,
EvolutionaryComputation,
ProgramEvolution,
Bayesian,
Probabilistic,
GeneticPrograming
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. Resu...