Uncertainty, Certainty, and Beyond
The issue of probability enters into science because there can be inconclusive evidence, degrees of belief, and chancy phenomena in the world. This is relevant to Bayesian thinking, for example, which accepts that theories should be accepted only tentatively and considered more or less probable in the light of new evidence. Probability can be modelled in a simplified way, such as where a maximal degree of belief is assigned the value 1. A question remains of how well this reflects the reality of epistemic phenomena, which seems to allow cases where there is more than certainty, i.e. where you would still be certain of something even with less evidence than there is.
2017 ◽
Vol 38
(04)
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pp. 284-291
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2020 ◽
Vol 10
(4)
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pp. 691-715
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1977 ◽
Vol 32
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pp. 17-40
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2013 ◽
Vol 67
(4)
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pp. 315-329
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2020 ◽
Vol 7
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pp. 233339282093232
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