MEAL demonstrates concepts in evolutionary biology to impatient visitors with modest hardware.
This is a site for various projects in evolution, molecular evolution and phylogenetic epidemiology being carried out by members in the Department of Zoology at the University of Oxford.
Free PC software package for simulating evolution in structured populations. Includes models for group selection, group territoriality, Wright's shifting balance model of punctuated equilibria and speciation.
A java-based simulation illustrating natural selection in action, with a dynamic environment affected by simulated biological activity. Requires Java 2 plug-in. Contextual help, explanatory material available.
Open-ended simulation game of evolving species. Players design species of animals, which compete against each other in a virtual jungle.
Designed on the model of SETI@home, this project makes evolutionary data available for download to, and analysis on, personal computers. Splitting up the work among a variety of machines results in faster results generation.
In this artificial life simulation colourful creatures evolve the ability to swim in an aquatic environment.
DarwinBots is an artificial life software in some ways similar to C-Robots and other programming games. Every simulated creature is a virtual robot with complex input and outputs and each DNA is in fact a program that acts on a memory cells array. Freeware.
Watch creatures based on a neural network learn to solve simple problems (eating the right foods, escaping traps) through random mutations and selection of the fittest. Highly configurable, with a modular structure.
This course presents an overview of the field of Evolutionary Systems and its applied branch of Artificial Life. The historical and philosophical foundations of evolutionary thought are explored with particular emphasis on computational simulations of its models. Topics include: Self-Organizing Systems, Natural Selection, Dynamic Systems, Boolean Networks, Cellular Automata, Genetic Algorithms, and Evolutionary Robotics.