Symbolic regression is typically approached in machine learning and artificial intelligence with evolutionary algorithms, Petersen said. The problem with evolutionary approaches is that the algorithms ...

Genetic programming (GP) represents a class of evolutionary algorithms that automates the creation of computer programmes to solve complex problems. Coupled with symbolic regression (SR), which ...

Symbolic regression algorithms are distinct from deep neural networks ... drew on expertise in physics and statistics to recast the evolutionary process in terms of a probability framework known as ...

A particular method called symbolic regression allows the evolution of human-interpretable ... With no human input, the algorithm was able to find that the number of species of an island increases ...

Learn More Does evolutionary computation ring a bell? In computer science, it’s the family of algorithms for global ... drawn from it is maximized. The symbolic form of the gradient estimation ...

This multidisciplinary project brings together insights from psychology, philosophy, anthropology, complex systems, behavioural finance, artificial intelligence, and computer science. Inspired by the ...