%0 Conference Paper %1 Koza:2003:ICMLA %A Koza, John R. %B Proceedings of the International Conference on Machine Learning and Applications %C Los Angeles %D 2003 %E Wani, M. Arif %E Cois, K. %E Hafeez, K. %K algorithms, automated genetic human-competitive invention, learning, machine parameterized programming, topology, %P 6--12 %T Routine high-return human-competitive machine learning %U http://www.genetic-programming.com/jkpdf/icmla2003.pdf %X Genetic programming is a systematic method for getting computers to automatically solve a problem. Genetic programming starts from a high-level statement of what needs to be done and automatically creates a computer program to solve the problem. The paper makes the points that (1) genetic programming now routinely delivers high-return human-competitive machine intelligence; (2) it is an automated invention machine; (3) it can automatically create a general solution to a problem in the form of a parameterised topology; and (4) it has delivered a progression of qualitatively more substantial results in synchrony with five approximately order-of-magnitude increases in the expenditure of computer time.

@inproceedings{Koza:2003:ICMLA, abstract = {Genetic programming is a systematic method for getting computers to automatically solve a problem. Genetic programming starts from a high-level statement of what needs to be done and automatically creates a computer program to solve the problem. The paper makes the points that (1) genetic programming now routinely delivers high-return human-competitive machine intelligence; (2) it is an automated invention machine; (3) it can automatically create a general solution to a problem in the form of a parameterised topology; and (4) it has delivered a progression of qualitatively more substantial results in synchrony with five approximately order-of-magnitude increases in the expenditure of computer time.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Los Angeles}, author = {Koza, John R.}, biburl = {https://www.bibsonomy.org/bibtex/2852fafbb868ffde5ab7c65d807b73027/brazovayeye}, booktitle = {Proceedings of the International Conference on Machine Learning and Applications}, editor = {Wani, M. Arif and Cois, K. and Hafeez, K.}, interhash = {faa2b39567286a03dd4eda47889a5ff3}, intrahash = {852fafbb868ffde5ab7c65d807b73027}, keywords = {algorithms, automated genetic human-competitive invention, learning, machine parameterized programming, topology,}, pages = {6--12}, size = {7 pages}, timestamp = {2008-06-19T17:44:16.000+0200}, title = {Routine high-return human-competitive machine learning}, url = {http://www.genetic-programming.com/jkpdf/icmla2003.pdf}, year = 2003 }