Symbolic Programming involves the manipulation of symbolic data such as programs, equations, rules, and natural language (human languages such as English). Symbolic programming is increasingly being ...

Worth pointing out that genetic programming is a branch ... is a language I created called SyQL (Symbolic Query Language) which queries a data set but returns what I call a model set based ...

abstract syntax tree (AST): a tree representation of a program that is abstracted from the details of ... box in logic or resolution theorem proving, the empty clause; from its mathematical symbol, ...

In this experiment, we were given three datasets of 25, points and our goal was to use genetic programming with symbolic expression trees in order to generate an expression that best models the data ...

To obtain a statistical model of the noisy data set we use symbolic regression with pseudorandom number generators. We begin by describing symbolic regression and our implementation of this technique ...

In the paper PyGlove: Symbolic Programming for Automated Machine Learning ... which refers to a performant program that could be a neural network architecture or a data augmentation policy. AutoML ...

Kemeny and Thomas E. Kurtz successfully ran the first program written in their newly developed BASIC (Beginner's All-Purpose Symbolic Instruction Code) programming language on the college's ...

This project is an experimental implementation of a genetic programming algorithm for symbolic regression. It's designed for personal use and educational purposes. The algorithm evolves a population ...