This work examines the dendritic cell algorithm (DCA) from a mathematical perspective. By representing the signal processing phase of the algorithm using the dot product it is sho...
Thomas Stibor, Robert Oates, Graham Kendall, Jonat...
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Mathematical modeling for gene regulative networks (GRNs) provides an effective tool for hypothesis testing in biology. A necessary step in setting up such models is the estimati...
Indicator-based algorithms have become a very popular approach to solve multi-objective optimization problems. In this paper, we contribute to the theoretical understanding of alg...
Tetris is a falling block game where the player’s objective is to arrange a sequence of different shaped tetrominoes smoothly in order to survive. In the intelligence games, ag...
For centuries it was thought that bacteria live asocial lives. However, recent discoveries show many species of bacteria communicate in order to perform tasks previously thought t...
A central tenet of embodied artificial intelligence is that intelligent behavior arises out of the coupled dynamics between an agent’s body, brain and environment. It follows t...
This paper describes a study of the evolution of robust communication, specifically the distribution of data among individuals in a population, using digital evolution. In digita...
David B. Knoester, Andres J. Ramirez, Philip K. Mc...