This paper surveys fitness functions used in the field of evolutionary robotics (ER).
Evolutionary robotics is a field of research that applies artificial evolution to generate control …

Coevolution (ie, the evolution of two or more competing populations with coupled fitness)
has several features that may potentially enhance the power of adaptation of artificial …

How is it possible to think new thoughts? What is creativity and can science explain it? And
just how did Coleridge dream up the creatures of The Ancient Mariner? When The Creative …

This paper presents solutions for one requirement of autonomous characters in animation
and games: the ability to navigate around their world in a life-like and improvisational …

Evolutionary Robotics is a method for automatically generating artificial brains and
morphologies of autonomous robots. This approach is useful both for investigating the …

When we contemplate phenomena as diverse as electrochemical deposition or the spatial
patterns of urban development, it is natural to assume that they havenothing incommon …

We give an overview of evolutionary robotics research at Sussex over the last five years. We
explain and justify our distinctive approaches to (artificial) evolution, and to the nature of …

One of our most fundamental cognitive adaptations is the ability to infer the intentions of
others. Whole-body motion is a reliable, valid, easily perceived source of information about …

Co-evolution can give rise to the “Red Queen effect”, where interacting populations alter
each other's fitness landscapes. The Red Queen effect significantly complicates any …

In the last few years several researchers have resorted to artificial evolution (eg, genetic
algorithms) and learning techniques (eg, neural networks) for studying the interaction …