When simulating soft robots, both their morphology and their controllers play important roles
in task performance. This paper introduces a new method to co-evolve these two …

A successful development of a complex multicellular organism took millions of years of
evolution. The genome of such a multicellular organism guides the development of its body …

Evolving virtual creatures is a field with a rich history and recently it has been getting more
attention, especially in the soft robotics domain. The compliance of soft materials endows …

As opposed to the traditional view wherein intelligence was believed to be a result of
centralised complex monolithic rules, it is now believed that the phenomenon is multi-scale …

In recent years, the scientific community has increasingly recognized the complex multiscale
competency architecture (MCA) of biology, comprising nested layers of active homeostatic …

The essential ingredient for studying the phenomena of emergence is the ability to generate
and manipulate emergent systems that span large scales. Cellular automata are the model …

Many microorganisms are capable of swimming through viscous fluids such as water in
order to search for nutrients, swim toward oxygen or light, or to escape from predators. To …

Evolving virtual creatures is a field with a rich history and recently it has been getting more
attention, especially in the soft robotics domain. The compliance of soft materials endows …

Cellular automata (CA) are a convenient way to describe the distributed evolution of a
dynamical system over discrete time and space. They can be used to express evolutionary …

Elementary cellular automata deterministically map a binary sequence to another using
simple local rules. Visualizing the structure of this mapping is difficult because the number of …