DocumentCode :
2917265
Title :
Creature Academy: A system for virtual creature evolution
Author :
Pilat, Marcin L. ; Jacob, Christian
Author_Institution :
Dept. of Comput. Sci., Univ. of Calgary, Calgary, AB
fYear :
2008
fDate :
1-6 June 2008
Firstpage :
3289
Lastpage :
3297
Abstract :
In this paper, we present creature academy, a virtual laboratory that allows for the evolution of form and function within simulated physical 3D environments. Creature academy can be used to explore evolutionary mechanisms, design, learning and other processes studied in artificial life simulations. Our system allows to perform hierarchical evolutionary experiments and ecosystem-inspired setups to investigate bodied creatures that interact, compete, adapt, and evolve. As a first proof of concept, we use creature academy to evolve morphologies and motion strategies of virtual creatures that walk and jump. We then present results that compare hierarchical evolution scenarios to generate creatures that excel in both walking and jumping, demonstrating how to evolve from creature specialists to generalists.
Keywords :
artificial life; evolutionary computation; virtual reality; 3D environments; ecosystem-inspired setups; evolutionary mechanisms; hierarchical evolution scenarios; hierarchical evolutionary; virtual creature evolution; virtual laboratory; Biological system modeling; Computational modeling; Ecosystems; Encoding; Evolution (biology); Genetic algorithms; Jacobian matrices; Legged locomotion; Morphology; Parallel machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
Type :
conf
DOI :
10.1109/CEC.2008.4631243
Filename :
4631243
Link To Document :
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