How high-level behaviors arise from low-level rules, and how understanding this relationship can suggest novel solutions to complex real-world problems such as disease prevention, stock-market prediction, and data mining on the Internet.The term "artificial life" describes research into synthetic systems that possess some of the essential properties of life. This interdisciplinary field includes biologists, computer scientists, physicists, chemists, geneticists, and others. Artificial life may be viewed as an attempt to understand high-level behavior from low-level rulesfor example, how the simple interactions between ants and their environment lead to complex trail-following behavior. An understanding of such relationships in particular systems can suggest novel solutions to complex real-world problems such as disease prevention, stock-market prediction, and data mining on the Internet.Since their inception in 1987, the Artificial Life meetings have grown from small workshops to truly international conferences, reflecting the field's increasing appeal to researchers in all areas of science.
About the Author
Russell Standish is Director of the High Performance Computing Support Unit and Adjunct Associate Professor in the School of Mathematics at the University of New South Wales.
Mark A. Bedau is Professor of Philosophy and Humanities at Reed College, Adjunct Professor of Systems Science at Portland State University, and Editor-in-Chief of the MIT Press journal Artificial Life.
Hussein A. Abbass is Senior Lecturer and Director of the Artificial Life and Adaptive Robotics Lab, School of Computer Science, Australian Defense Force Academy, and Honorary Associate at the University of New England.