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Review of: Swarm Intelligence: From Natural to Artificial Systems by Eric Bonabeau, Marco Dorigo, and Guy Theraulaz, Oxford University Press, 1999, 307 pp. ...
Artificial evolution of computer software (evolutionary neural networks, genetic programming, evolutionary fuzzy systems, etc.) has been shown to generate software that in many cases is more performant than that designed by engineers. Evolved software perf ...
In this paper I explore the hypothesis that some of today's robots might possess a form of consciousness whose substrate is a mere algorithm. First, consciousness is defined within an evolutionary framework as awareness of one's own state in relation to th ...
Explains methods to provide autonomous virtual humans with the skills necessary to perform stand-alone roles in films, games and interactive television. We present current research developments in the virtual life of autonomous synthetic actors. After a br ...
Nature abounds in examples of cellular systems. From ant colonies to cellular tissues, from molecular systems to the human brain, cellularity seems to be the way Nature operates. The brain, surely one of the most complex objects to be found on earth, is th ...
This book constitutes the refereed proceedings of the 5th European Conference on Artificial Life, ECAL'99, held in Lausanne, Switzerland in September 1999. The 90 revised papers presented were carefully reviewed and selected from 150 submissions. The book ...
The Animals to Animats Conference brings together researchers from ethology, psychology, ecology, artificial intelligence, artificial life, robotics, engineering, and related fields to further understanding of the behaviors and underlying mechanisms that a ...
This paper is concerned with artificial evolution of neuro-controllers with adaptive synapses for autonomous mobile robots. The method consists of encoding on the genotype a set of local modification rules that synapses obey while the robot freely moves in ...
Morphology plays an important role in the computational properties of neural systems, affecting both their functionality and the way in which this functionality is developed during life. In computer-based models of neural networks, artificial evolution is ...
We address two issues in Evolutionary Robotics, namely the genetic encoding and the performance criterion, also known as fitness function. For the first aspect, we suggest to encode mechanisms for parameter self-organization, instead of the parameters them ...
