Abstract. Recently, brain models attempt to support cognitive abilities of artificial organisms. Incremental approaches are often employed to support modelling process. The presen...
Abstract. In this paper, we propose a formal definition of the perception as a behavioral dynamical attraction basin. The perception is built from the integration of the sensori-m...
M. Maillard, Olivier Gapenne, L. Hafemeister, Phil...
We study a population of individuals playing the prisoner’s dilemma game. Individual strategies are invariable but the network of relationships between players is allowed to chan...
Consider a group of autonomous, mobile robots with the ability to physically connect to one another (self-assemble). The group is said to exhibit functional self-assembly if the ro...
The complexity, variation, and change of human languages makes evident the importance of representation and learning in the acquisition and evolution of language. For example, anal...
Yoosook Lee, Travis C. Collier, Gregory M. Kobele,...
A swarm-bot is a robotic entity built of several autonomous mobile robots (called s-bots) physically connected together. This form of collective robotics exploits robot interaction...
The classical approach to using utility functions suffers from the drawback of having to design and tweak the functions on a case by case basis. Inspired by examples from the anim...
Alexander S. Klyubin, Daniel Polani, Chrystopher L...
The Baldwin Effect indicates that individually learned behaviours acquired during an organism’s lifetime can influence the evolutionary path taken by a population, without any di...
We propose a biologically and physically plausible model for ants and pheromones, and show this model to be sufficiently powerful to simulate the computation of arbitrary logic cir...
Contrary to indications made by prior researchers, digital logic circuits designed by artificial evolution to perform binary arithmetic tasks can generalise on inputs which were n...