%0 Conference Paper %1 Alfaro-Cid:2006:CEC %A Alfaro-Cid, Eva %A Sharman, Ken %A Esparcia-Alcazar, Anna I. %B Proceedings of the 2006 IEEE Congress on Evolutionary Computation %C Vancouver %D 2006 %E Yen, Gary G. %E Wang, Lipo %E Bonissone, Piero %E Lucas, Simon M. %I IEEE Press %K algorithms, genetic programming %P 958--962 %T Evolving a Learning Machine by Genetic Programming %X We describe a novel technique for evolving a machine that can learn. The machine is evolved using a Genetic Programming (GP) algorithm that incorporates in its function set what we have called a learning node. Such a node is tuned by a second optimisation algorithm (in this case Simulated Annealing), mimicking a natural learning process and providing the GP tree with added flexibility and adaptability. The result of the evolution is a system with a fixed structure but with some variable parameters. The system can then learn new tasks in new environments without undergoing further evolution. %@ 0-7803-9487-9

@inproceedings{Alfaro-Cid:2006:CEC, abstract = {We describe a novel technique for evolving a machine that can learn. The machine is evolved using a Genetic Programming (GP) algorithm that incorporates in its function set what we have called a learning node. Such a node is tuned by a second optimisation algorithm (in this case Simulated Annealing), mimicking a natural learning process and providing the GP tree with added flexibility and adaptability. The result of the evolution is a system with a fixed structure but with some variable parameters. The system can then learn new tasks in new environments without undergoing further evolution.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Vancouver}, author = {Alfaro-Cid, Eva and Sharman, Ken and Esparcia-Alcazar, Anna I.}, biburl = {https://www.bibsonomy.org/bibtex/248c397c655ed04ccec651c4480014ce5/brazovayeye}, booktitle = {Proceedings of the 2006 IEEE Congress on Evolutionary Computation}, editor = {Yen, Gary G. and Wang, Lipo and Bonissone, Piero and Lucas, Simon M.}, interhash = {087a6f95a5c91b9d0bc6fe3e560a2ede}, intrahash = {48c397c655ed04ccec651c4480014ce5}, isbn = {0-7803-9487-9}, keywords = {algorithms, genetic programming}, month = {6-21 July}, notes = {WCCI 2006 - A joint meeting of the IEEE, the EPS, and the IEE. IEEE Catalog Number: 06TH8846D}, pages = {958--962}, publisher = {IEEE Press}, size = {5 pages}, timestamp = {2008-06-19T17:35:32.000+0200}, title = {Evolving a Learning Machine by Genetic Programming}, year = 2006 }