Wim Hordijk is an independent and interdisciplinary scientist interested in the origin and evolution of life. After spending several formative years as a graduate student at the Santa Fe Institute, and earning a PhD in computer science from the University of New Mexico, USA, Wim has worked on many research and computing projects at different universities and research institutes all over the world. A wandering scientist by choice, he has collaborated with biologists, physicists, mathematicians, computer scientists, chemists, and also an archaeologist. He currently holds a senior fellowship at the Konrad Lorenz Institute for Evolution and Cognition Research in Klosterneuburg, Austria.Wim is also an enthusiastic popular science writer, with contributions to (among others) The Scientist, Plus magazine, and TVOL. You can follow his research and writings on Twitter (@WanderingWim) or on his personal website at www.WorldWideWanderings.net
In computer science, there are many problems that are known to be "hard." What this means is that there is no efficient method to solve such problems exactly. However, we can use a clever computer algorithm to evolve an approximate solution, using ideas from real biological evolution.
Many systems in nature consist of a large number of relatively simple units that interact only locally, and without a central control, yet the system as a whole can produce intricate globally coordinated behaviors.