We demonstrate the evolution of simple embodied Genetic Regulatory Networks (GRNs) as real-time control systems for robotic and software-based embodied Artificial Organisms, and p...
Tom Quick, Chrystopher L. Nehaniv, Kerstin Dautenh...
This paper addresses the evolution of control strategies for a collective: a set of entities that collectively strives to maximize a global evaluation function that rates the perf...
— The results presented in this paper are a part of the second phase of a body of research with the goal of coevolving the mind and morphology of dynamic robots. We use a 3-Dimen...
Gary B. Parker, Dejan Duzevik, Andrey S. Anev, Ram...
— Environments with varying reward contingencies constitute a challenge to many living creatures. In such conditions, animals capable of adaptation and learning derive an advanta...
Reorganization of the structure of an organization is a crucial issue in multi-agent systems that operate in an open, dynamic environment. Ideally, autonomous agents must be able t...