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More philosophy about Deductive reasoning and inductive reasoning and Big Data..
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Amine Moulay Ramdane
Jun 20, 2021, 11:42:58 AM6/20/21
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Hello,
More philosophy about Deductive reasoning and inductive reasoning and Big Data..
"Deductive reasoning, is eventually limited because setting a premise in advance of an experiment would constrain the reasoning so as to match that premise. Instead, he advocated a bottom-up approach: In contrast to deductive reasoning, which has dominated science since Aristotle, inductive reasoning should be based on facts to generalize their meaning, drawing inferences from observations and data."
"Big Data science renews the primacy of inductive reasoning in the form of technology-based empiricism and has inspired a view of the future in which automated data mining will lead directly to new discoveries. According to this view, the new “hypothesis-neutral” way of creating knowledge will replace traditional hypothesis-driven research. Analyzing vast volumes of data will yield novel and often surprising correlations, patterns and rules."
"Big Data will put a strong emphasis on correlations, that is, relations “between phenomena or things or between mathematical or statistical variables which tend to vary, be associated, or occur together in a way not expected on the basis of chance alone” (http://www.merriam-webster.com/dictionary/correlations). Of course, correlations are already used in science as heuristic tools and often function as the starting point for further investigation. However, this claim assumes the primacy of correlations over causal explanation or, even more radically, the replacement of the latter with the former. To put it in Anderson's words: “Petabytes allow us to say: “correlation is enough”. We can stop looking for models. We can analyze the data without hypotheses about what it might show. We can throw the numbers into the biggest computing clusters the world has ever seen and let statistical algorithms find patterns where science cannot […] Correlation supersedes causation, and science can advance even without coherent models, unified theories, or really any mechanistic explanation at all”"
Read more here:
Could Big Data be the end of theory in science?
https://www.embopress.org/doi/full/10.15252/embr.201541001
Thank you,
Amine Moulay Ramdane.
More philosophy about Deductive reasoning and inductive reasoning and Big Data..
"Deductive reasoning, is eventually limited because setting a premise in advance of an experiment would constrain the reasoning so as to match that premise. Instead, he advocated a bottom-up approach: In contrast to deductive reasoning, which has dominated science since Aristotle, inductive reasoning should be based on facts to generalize their meaning, drawing inferences from observations and data."
"Big Data science renews the primacy of inductive reasoning in the form of technology-based empiricism and has inspired a view of the future in which automated data mining will lead directly to new discoveries. According to this view, the new “hypothesis-neutral” way of creating knowledge will replace traditional hypothesis-driven research. Analyzing vast volumes of data will yield novel and often surprising correlations, patterns and rules."
"Big Data will put a strong emphasis on correlations, that is, relations “between phenomena or things or between mathematical or statistical variables which tend to vary, be associated, or occur together in a way not expected on the basis of chance alone” (http://www.merriam-webster.com/dictionary/correlations). Of course, correlations are already used in science as heuristic tools and often function as the starting point for further investigation. However, this claim assumes the primacy of correlations over causal explanation or, even more radically, the replacement of the latter with the former. To put it in Anderson's words: “Petabytes allow us to say: “correlation is enough”. We can stop looking for models. We can analyze the data without hypotheses about what it might show. We can throw the numbers into the biggest computing clusters the world has ever seen and let statistical algorithms find patterns where science cannot […] Correlation supersedes causation, and science can advance even without coherent models, unified theories, or really any mechanistic explanation at all”"
Read more here:
Could Big Data be the end of theory in science?
https://www.embopress.org/doi/full/10.15252/embr.201541001
Thank you,
Amine Moulay Ramdane.
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