Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Artificial life meets entertainment: lifelike autonomous agents
Communications of the ACM
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
ALIFE Proceedings of the sixth international conference on Artificial life
Coevolving communicative behavior in a linear pursuer-evadergame
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
Walknet—a biologically inspired network to control six-legged walking
Neural Networks - Special issue on neural control and robotics: biology and technology
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Proceedings of the First International Conference on Virtual Worlds
VW '98 Proceedings of the First International Conference on Virtual Worlds
Testing for Emergence in Artificial Life
ECAL '99 Proceedings of the 5th European Conference on Advances in Artificial Life
Framsticks: Towards a Simulation of a Nature-Like World, Creatures and Evolution
ECAL '99 Proceedings of the 5th European Conference on Advances in Artificial Life
The ALIVE system: full-body interaction with autonomous agents
CA '95 Proceedings of the Computer Animation
Taxonomy in Alife. Measures of Similarity for Complex Artificial Organisms
ECAL '01 Proceedings of the 6th European Conference on Advances in Artificial Life
Evolving creatures in virtual ecosystems
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
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A three-dimensional virtual world simulation is described, where evolution takes place and it is possible to investigate behaviors of creatures in real-time. Bodies of these creatures are made of sticks, and their brains are built from artificial neurons. There are no constraints on topology and complexity of neural networks, as well as on the size of morphology. The model is inspired by biology, so energetic issues such as energy gains and losses are also considered. The evolutionary process can be guided by some pre-defined criteria, however, it is possible to mimic spontaneous evolution when the fitness is defined as the life span of the organisms. Interactions in the virtual world are discussed (including the possibility of worldwide-distributed simulation), and the results of so-far experiments are presented.