Inspired by swarm intelligence observed in social species, the artificial self-organized
networking (SON) systems are expected to exhibit some intelligent features (eg, flexibility …

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 …

My major motivation to think about swarm robotics is the question of how probabilistic local
actions of small robots sum up to rational global patterns shown by the swarm. For the …

Social insects--ants, bees, termites, and wasps--can be viewed as powerful problem-solving
systems with sophisticated collective intelligence. Composed of simple interacting agents …

Swarm intelligence is a relatively new approach to problem solving that takes inspiration
from the social behaviors of insects and of other animals. In particular, ants have inspired a …

Mobile robots have the potential to become the ideal tool to teach a broad range of
engineering disciplines. Indeed, mobile robots are getting increasingly complex and …

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

With existent uses ranging from motion detection to music synthesis to financial forecasting,
recurrent neural networks have generated widespread attention. The tremendous interest in …

Ant colonies, and more generally social insect societies, are distributed systems that, in spite
of the simplicity of their individuals, present a highly structured social organization. As a …

A comprehensive introduction to new approaches in artificial intelligence and robotics that
are inspired by self-organizing biological processes and structures. New approaches to …