Results 11 to 20 of about 91,019 (215)
Making decisions with evidential probability and objective Bayesian calibration inductive logics
International Journal of Approximate Reasoning, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mantas Radžvilas +2 more
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Argument-based inductive logics, with coverage of compromised perception [PDF]
Frontiers in Artificial Intelligence, 2023 Formal deductive logic, used to express and reason over declarative, axiomatizable content, captures, we now know, essentially all of what is known in mathematics and physics, and captures as well the details of the proofs by which such knowledge has ...
Selmer Bringsjord +6 more
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From exchangeability to rational belief: a cognitive interpretation of de Finetti’s theorem [PDF]
Frontiers in PsychologyProbabilistic reasoning is central to many theories of human cognition, yet its foundations are often presented through abstract mathematical formalisms disconnected from the logic of belief and learning. In this article, we propose a reinterpretation of
Tommaso Costa +2 more
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SSRN Electronic Journal, 2019 J.M. Keynes’s method in the A Treatise on Probability, inexact measurement and approximation using non additive upper and lower probabilities, is a formal, inductive logic built on G. Boole’s original Boolean Algebra and Logic. It has nothing to do with "…a given list of possible behaviors. ” (Almeida, no date).
Michael Emmett Brady
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SSRN Electronic Journal, 2019 J M Keynes’s method was explicitly introduced and used in the A Treatise on Probability in Parts II, III and V. Keynes’s method is an inductive logic built on the mathematical logic and algebra of George Boole. Boole introduced non linearity and non additivity into his approach using interval valued probability that used lower and upper bounds. Boole’s
Michael Emmett Brady
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Studies in inductive logic and probability
Advances in Mathematics, 1983 Gian‐Carlo Rota
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Integration of Logic and Probability in Terminological and Inductive Reasoning
, 2013 This thesis deals with Statistical Relational Learning (SRL), a research area combining principles and ideas from three important subfields of Artificial Intelligence: machine learn- ing, knowledge representation and reasoning on uncertainty. Machine learning is the study of systems that improve their behavior over time with experience; the learning ...
Elena Bellodi
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Safety Risk Assessment; Using Fuzzy Failure Mode and Effect Analysis and Fault Tree Analysis [PDF]
Transactions on Fuzzy Sets and Systems, 2022 The failure mode and effects analysis (FMEA) is a qualitative, Inductive and effective method for detecting errors, faults, and failures in a system and fuzzy logic can improve that technique with more logical outputs.
Mazdak Khodadadi-Karimvand +1 more
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Determinants of Venture Capital on the Tehran Stock Exchange [PDF]
پژوهشهای مدیریت عمومی, 2022 Venture capital plays a significant role in economy. Different types of companies involved in venture capital activities may face difficulty in financing.
Nahid Naeimi, Ramin Zeraatgari
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Fault locator of an allyl chloride plant [PDF]
Hemijska Industrija, 2004 Process safety analysis, which includes qualitative fault event identification, the relative frequency and event probability functions, as well as consequence analysis, was performed on an allye chloride plant.
Savković-Stevanović Jelenka B.
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