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- W4242834626 abstract "This chapter aims to frame Bayesianism within the historical context of other forms of scientific reasoning, such as induction, deduction, falsification, intuitionism, and others. It discusses the application of Bayesianism in the context of uncertainty quantification (UQ). Bayesianism is based on inductive logic, although some argue that it is based both on induction and on deduction. Falsificationism, as championed by Karl Popper, appeared in the 1920s partly as a reaction to inductionism (and logical positivism). One may argue that both induction and falsification provide too much of a fragmented view of the development of scientific theory or methods that often do not agree with reality. The chapter provides a general overview of the scientific method and the philosophy of science. Progress in science is usually achieved by experimentation, the acquisition of information in a laboratory or field setting. The chapter discusses the use of Bayesianism in dealing with uncertainty related to the geological system." @default.
- W4242834626 created "2022-05-12" @default.
- W4242834626 date "2018-05-11" @default.
- W4242834626 modified "2023-10-12" @default.
- W4242834626 title "Bayesianism" @default.
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- W4242834626 doi "https://doi.org/10.1002/9781119325888.ch5" @default.
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