There is a growing body of robot-based research that makes a serious claim to be a new
methodology for biology. Robots can be used as models of specific animal systems to test …

One of the long-term goals in evolutionary robotics is to be able to automatically synthesize
controllers for real autonomous robots based only on a task specification. While a number of …

Swarm robotics is a promising approach for the coordination of large numbers of robots.
While previous studies have shown that evolutionary robotics techniques can be applied to …

Much research in cognitive science, and in particular artificial intelligence (AI) and artificial
life (ALife), has since the mid-1980s been devoted to the study of so-called autonomous …

Providing a guided tour of the pioneering work and major technical issues, Multiagent
Robotic Systems addresses learning and adaptation in decentralized autonomous robots. Its …

We show that complex visual tasks, such as position-and size-invariant shape recognition
and navigation in the environment, can be tackled with simple architectures generated by a …

This paper discusses different approaches incognitive science and artificial
intelligenceresearch from the perspective of radicalconstructivism, addressing especially …

Intrinsically motivated reinforcement learning (IMRL) has been proposed as a framework
within which agents exploit" internal reinforcement" to acquire general-purpose building …

We review the applications of artificial life (ALife), the creation of synthetic life on computers
to study, simulate, and understand living systems. The definition and features of ALife are …

When one attempts to use artificial evolution to develop behaviors for a swarm robotic
system, he is faced with decisions to be made regarding the parameters of the evolution. In …