Evolving virtual creatures Export

@inproceedings{citeulike:1023334, abstract = {This paper describes a novel system for creating virtual creatures that move and behave in simulated three-dimensional physical worlds. The morphologies of creatures and the neural systems for controlling their muscle forces are both generated automatically using genetic algorithms. Different fitness evaluation functions are used to direct simulated evolutions towards specific behaviors such as swimming, walking, jumping, and following. A genetic language is presented that uses nodes and connections as its primitive elements to represent directed graphs, which are used to describe both the morphology and the neural circuitry of these creatures. This genetic language defines a hyperspace containing an indefinite number of possible creatures with behaviors, and when it is searched using optimization techniques, a variety of successful and interesting locomotion strategies emerge, some of which would be difficult to invent or built by design.}, address = {New York, NY, USA}, author = {Sims, Karl}, booktitle = {SIGGRAPH '94: Proceedings of the 21st annual conference on Computer graphics and interactive techniques}, citeulike-article-id = {1023334}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=192167}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/192161.192167}, doi = {10.1145/192161.192167}, isbn = {0-89791-667-0}, keywords = {alife, breakthrough, creatures, evolution, fundation, morphology, of, virtual}, pages = {15--22}, posted-at = {2009-03-28 21:39:46}, priority = {2}, publisher = {ACM}, title = {Evolving virtual creatures}, url = {http://dx.doi.org/10.1145/192161.192167}, year = {1994} }

TY - CONF ID - citeulike:1023334 L3 - citeulike-article-id:1023334 N2 - This paper describes a novel system for creating virtual creatures that move and behave in simulated three-dimensional physical worlds. The morphologies of creatures and the neural systems for controlling their muscle forces are both generated automatically using genetic algorithms. Different fitness evaluation functions are used to direct simulated evolutions towards specific behaviors such as swimming, walking, jumping, and following. A genetic language is presented that uses nodes and connections as its primitive elements to represent directed graphs, which are used to describe both the morphology and the neural circuitry of these creatures. This genetic language defines a hyperspace containing an indefinite number of possible creatures with behaviors, and when it is searched using optimization techniques, a variety of successful and interesting locomotion strategies emerge, some of which would be difficult to invent or built by design. SN - 0-89791-667-0 AD - New York, NY, USA EP - 22 TI - Evolving virtual creatures PB - ACM T2 - SIGGRAPH '94: Proceedings of the 21st annual conference on Computer graphics and interactive techniques SP - 15 KW - alife KW - breakthrough KW - creatures KW - evolution KW - fundation KW - morphology KW - of KW - virtual AU - Sims, Karl PY - 1994/// UR - http://dx.doi.org/10.1145/192161.192167 ER -