%0 Conference Paper %1 DBLP:conf/ae/MiconiC05 %A Miconi, Thomas %A Channon, Alastair %B 7th International Conference and Evolution Artificielle, EA 2005 %C Lille, France %D 2005 %E Talbi, El-Ghazali %E Liardet, Pierre %E Collet, Pierre %E Lutton, Evelyne %E Schoenauer, Marc %I Springer %K algorithms, genetic programming %P 167--178 %R doi:10.1007/11740698_15 %T Analysing Co-evolution Among Artificial 3D Creatures %U http://www.channon.net/alastair/papers/ea05.pdf %V 3871 %X This paper presents new accomplishments in the coevolution of neurally controlled agents, and introduces improved methods of coevolutionary analysis. The experiments reported, on the coevolution of physically simulated articulated creatures, are the first to demonstrate realistic co-adapted behaviours using general purpose neurons. The previous need for ad hoc (problem-specific) neurons was a barrier to the long-term evolution of new, emergent behaviours. Novel behaviours are identified using an improved coevolutionary analysis method that is both more informative and an order of magnitude cheaper than the original. Finally, individuals are cross-validated between evolutionary runs, in an improved procedure for evaluating global performance. %@ 3-540-33589-7

@inproceedings{DBLP:conf/ae/MiconiC05, abstract = {This paper presents new accomplishments in the coevolution of neurally controlled agents, and introduces improved methods of coevolutionary analysis. The experiments reported, on the coevolution of physically simulated articulated creatures, are the first to demonstrate realistic co-adapted behaviours using general purpose neurons. The previous need for ad hoc (problem-specific) neurons was a barrier to the long-term evolution of new, emergent behaviours. Novel behaviours are identified using an improved coevolutionary analysis method that is both more informative and an order of magnitude cheaper than the original. Finally, individuals are cross-validated between evolutionary runs, in an improved procedure for evaluating global performance.}, added-at = {2008-06-19T17:46:40.000+0200}, address = {Lille, France}, author = {Miconi, Thomas and Channon, Alastair}, bibsource = {DBLP, http://dblp.uni-trier.de}, biburl = {https://www.bibsonomy.org/bibtex/2910ae5552bb30a91546146c601dcf009/brazovayeye}, booktitle = {7th International Conference and Evolution Artificielle, EA 2005}, doi = {doi:10.1007/11740698_15}, editor = {Talbi, El-Ghazali and Liardet, Pierre and Collet, Pierre and Lutton, Evelyne and Schoenauer, Marc}, interhash = {819b6eb42aff7b6a1a2f874b58f8a6c0}, intrahash = {910ae5552bb30a91546146c601dcf009}, isbn = {3-540-33589-7}, keywords = {algorithms, genetic programming}, month = {October 26-28}, note = {Revised Selected Papers}, notes = {Published 2006}, pages = {167--178}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2008-06-19T17:47:03.000+0200}, title = {Analysing Co-evolution Among Artificial 3{D} Creatures}, url = {http://www.channon.net/alastair/papers/ea05.pdf}, volume = 3871, year = 2005 }