This paper presents simulations of long-term co-evolution in simple artificial ecosystems composed of different plant species. Artificial plants and plant communities, evolving in ...
This paper reports on investigations on the possible advantage of the coupling between genomes and physics of cells in artificial evolution. The idea is simple: evolution can rely ...
In this paper we present neuro-evolution of neural network controllers for mobile agents in a simulated environment. The controller is obtained through evolution of hypercube encod...
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
Abstract - In this paper we develop and analyze Spiking Neural Network (SNN) versions of Resilient Propagation (RProp) and QuickProp, both training methods used to speed up trainin...