The market for industrial robots grew rapidly during the 1970s and 1980s, with a peak
demand in 1991. However, due to the subsequent recession in the world economy, the …

Evolutionary robotics (ER) is often viewed as the application of a family of black-box
optimization algorithms—evolutionary algorithms—to the design of robots, or parts of robots …

We survey the research on interactive evolutionary computation (IEC). The IEC is an EC that
optimizes systems based on subjective human evaluation. The definition and features of the …

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

We address two issues in Evolutionary Robotics, namely the genetic encoding and the
performance criterion, also known as the fitness function. For the first aspect, we suggest 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 …

This paper shows how reactive agents can solve complex tasks without requiring any
internal state and demonstrates that this is due to their ability to coordinate perception and …

Cognitive science arose in the 1950s when it became apparent that a number of disciplines,
including psychology, computer science, linguistics, and philosophy, were fragmenting …

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

This paper provides an overview of the bottom-up approach to artificial intelligence (AI),
commonly referred to as behavior-oriented AI. The behavior-oriented approach, with its …