In recent years, owing to the effect of fossil fuels on global warming, the exhaustion of oil
fields, and the lucrative impacts of renewable energy resources (RESs), the penetration of …

Abstract Recent extensions of Cellular Automata (CA) have incorporated key ideas from
modern deep learning, dramatically extending their capabilities and catalyzing a new family …

Artificial neural networks (ANNs) can be employed as controllers for robotic agents. Their
structure is often complex, with many neurons and connections, especially when the robots …

Voxel-based Soft Robots (VSRs) are a form of modular soft robots, composed of several
deformable cubes, ie, voxels. Each VSR is thus an ensemble of simple agents, namely the …

Lots of learning tasks require experience learning based on activities performed in real
scenarios which are affected by environmental factors. Therefore, real-time systems demand …

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 …

This work investigates the emergent complexity in Lenia, an artificial life platform that
simulates ecosystems of digital creatures. Lenia's ecosystem consists of a continuous …

This is the first post in a series I plan to write on the work from our group and others that
combines ideas from deep learning with ideas from self-organization and collective systems …

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 …

Skin melanoma is one of the most dangerous tumor lesions. In recent years, the number of
cases and deaths caused by melanoma has been increasing. The discovery and …