Computer science. Automating science.

作者: David Waltz , Bruce G. Buchanan

DOI: 10.1126/SCIENCE.1172781

关键词:

摘要: Computers with intelligence can design and run experiments, but learning from the results to generate subsequent experiments requires even more intelligence.

参考文章(5)
Michael Schmidt, Hod Lipson, Distilling Free-Form Natural Laws from Experimental Data Science. ,vol. 324, pp. 81- 85 ,(2009) , 10.1126/SCIENCE.1165893
Ashwin Srinivasan, S.H. Muggleton, M.J.E. Sternberg, R.D. King, Theories for mutagenicity: a study in first-order and feature-based induction Artificial Intelligence. ,vol. 85, pp. 277- 299 ,(1996) , 10.1016/0004-3702(95)00122-0
Stephen H. Muggleton, Exceeding human limits Nature. ,vol. 440, pp. 409- 410 ,(2006) , 10.1038/440409A
Pat Langley, Data-driven discovery of physical laws Cognitive Science. ,vol. 5, pp. 31- 54 ,(1981) , 10.1111/J.1551-6708.1981.TB00869.X
Ross D. King, Jem Rowland, Stephen G. Oliver, Michael Young, Wayne Aubrey, Emma Byrne, Maria Liakata, Magdalena Markham, Pinar Pir, Larisa N. Soldatova, Andrew Sparkes, Kenneth E. Whelan, Amanda Clare, The Automation of Science Science. ,vol. 324, pp. 85- 89 ,(2009) , 10.1126/SCIENCE.1165620