| Summary: | The article focuses on computational discovery in scientific research. It states that computer scientists are teaching computers how to run experiments and utilize inferences from the data to conduct additional experiments. It mentions the use of data mining in determining unknown relationships, such as the correlation between incidence of heart attacks and the use of a painkiller. It comments on the use of computer programs to determine the metabolic process of glycolysis and mentions the program changed and recombined equations to produce answers that fit the data. It talks about the use of robots in scientific research and talks about methods of automating the entire scientific process to generate data, form hypotheses, and design experiments to test the hypotheses.
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