We present SignalGP, a new genetic programming (GP) technique designed to incorporate
the event-driven programming paradigm into computational evolution's toolbox. Event …

Symbolic regression is commonly considered in wide-ranging applications due to its
inherent capability for learning both structure and weighting parameters of an interpretable …

Objectives Proinflammatory cytokines released during inflammation can cause
hyperexcitability in pain transmission neurons, leading to hyperalgesia and allodynia …

Several techniques have been developed for allowing genetic programming systems to
produce programs that make use of subroutines, macros, and other modular program …

Ethnocentrism refers to the tendency to behave differently towards strangers based only on
whether they belong to the ingroup or the outgroup. It is a widespread phenomenon that can …

In autoconstructive evolutionary algorithms, individuals implement not only candidate
solutions to specified computational problems, but also their own methods for variation of …

We introduce and experimentally demonstrate the utility of tag-based genetic regulation, a
new genetic programming (GP) technique that allows programs to dynamically adjust which …

This chapter describes the Sequential Symbolic Regression (SSR) method, a new strategy
for function approximation in symbolic regression. The SSR method is inspired by the …

The Unix utility program wc, which stands for" word count," takes any number of files and
prints the number of newlines, words, and characters in each of the files. We show that …

An important connection between evolution and learning was made over a century ago and
is now termed as the Baldwin effect. Learning acts as a guide for an evolutionary search …