An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...
Abstract. Developmental models simulate the spatio-temporal development of a complex system. The system described in this paper combines the advantages of a number of previously di...
This paper explores the performance of a simple model agent using a reactive controller in situations where, from an external perspective, a solution that relies on internal states...
Abstract. In human societies, facts are constructed through social consensus. Here, the formation of social institutions in such a society is studied using a multi-agent-based simu...
In this paper, we describe an approach to artificial life, which uses Qualitative Reasoning for the simulation of life within a 3D virtual environment. This system uses qualitative...
Simon Hartley, Marc Cavazza, Louis Bec, Jean-Luc L...
Abstract. This article presents the first results of a project in underwater modular robotics, called Neubots. The goals of the projects are to explore, following Von Neumann’s ...
Recently, in both the neuroscience and adaptive behaviour communities, there has been growing interest in the interplay of multiple timescales within neural systems. In particular,...
We present an example of the dynamical systems approach to learning and adaptation. Our goal is to explore how both control and learning can be embedded into a single dynamical sys...
The transition from unicellular to multicellular organisms is one of the mysteries of evolutionary biology. Individual cells must give up their rights to reproduction and reproduce...
Recently, all the human genes were identified. But understanding the functions coded in the genes is of course a much harder problem. We are used to view DNA as some sort of a comp...