Developing methods to explore, predict and control the dynamic behavior ...
In both natural and artificial studies, evolution is often seen as synon...
Neuroevolution (NE) has recently proven a competitive alternative to lea...
Lenia is a family of cellular automata (CA) generalizing Conway's Game o...
Humans have been able to tackle biosphere complexities by acting as ecos...
How can a population of reinforcement learning agents autonomously learn...
The human cultural repertoire relies on innovation: our ability to
conti...
Building autonomous artificial agents able to grow open-ended repertoire...
The diversity and quality of natural systems have been a puzzle and
insp...
We are interested in interactive agents that learn to coordinate, namely...
Effective latent representations need to capture abstract features of th...
Language is an interface to the outside world. In order for embodied age...
Recent advances in Artificial Intelligence (AI) have revived the quest f...
Epidemiologists model the dynamics of epidemics in order to propose cont...
Infant vocal babbling strongly relies on jaw oscillations, especially at...
Self-organization of complex morphological patterns from local interacti...
This paper investigates the idea of encoding object-centered representat...
Autonomous reinforcement learning agents must be intrinsically motivated...
Computational models of emergent communication in agent populations are
...
In order to understand the formation of social conventions we need to kn...
This paper introduces a cognitive architecture for a humanoid robot to e...
Given recent proposals to synthesize consciousness, how many forms of
co...
In this paper, we argue that the future of Artificial Intelligence resea...
We propose a new approach for solving a class of discrete decision makin...