Results 201 to 210 of about 3,092 (254)
Some of the next articles are maybe not open access.
Inductive Logic as Explication: The Evolution of Carnap’s Notion of Logical Probability
The Monist, 2018According to a popular interpretation, Carnap's interpretation of probability had evolved from a logical towards a subjective conception. However Carnap himself insisted that his basic philosophical view of probability was always the same. I address this apparent dash between Carnap's self-identification and the subsequent interpretations of his work ...
openaire +1 more source
Predictive probability and analogy by similarity in inductive logic
Erkenntnis, 1995Theλ-continuum of inductive methods was derived from an assumption, calledλ-condition, which says that the probability of finding an individual having propertyx j depends only on the number of observed individuals having propertyx j and on the total number of observed individuals ...
openaire +1 more source
PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association, 1976
Nature is to us like an infinite ballot box, the contents of which are being continually drawn, ball after ball, and exhibited to us. Science is but the careful observation of the succession in which balls of various character present themselves ([12], p. 150).The project of formulating an account of scientific inference in terms of concepts drawn from
openaire +1 more source
Nature is to us like an infinite ballot box, the contents of which are being continually drawn, ball after ball, and exhibited to us. Science is but the careful observation of the succession in which balls of various character present themselves ([12], p. 150).The project of formulating an account of scientific inference in terms of concepts drawn from
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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).
openaire +1 more source
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).
openaire +1 more source
SSRN Electronic Journal, 2019
Advocates and opponents of the rational expectations hypothesis have both confused statistics with mathematics (logic). Only in mathematics can I prove something to be true, false, correct, incorrect, right or wrong. The best one can do in statistics is, by the use of proper scoring rules, establish that one forecaster (model) is better, more accurate ...
openaire +1 more source
Advocates and opponents of the rational expectations hypothesis have both confused statistics with mathematics (logic). Only in mathematics can I prove something to be true, false, correct, incorrect, right or wrong. The best one can do in statistics is, by the use of proper scoring rules, establish that one forecaster (model) is better, more accurate ...
openaire +1 more source
Integration of Logic and Probability in Terminological and Inductive Reasoning.
2013This 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 ...
openaire +2 more sources
Journal of Economics & Management Research
Ramsey’s severe confusions, based on his ruminations and musings about the logical foundations for Keynes’s relational, propositional logic, led him to come to the bizarre conclusion that Keynes ‘s premises and conclusions, contained in Keynes’s Boolean, relational, propositional logic were somehow tied together with Plato’s metaphysical relations ...
openaire +1 more source
Ramsey’s severe confusions, based on his ruminations and musings about the logical foundations for Keynes’s relational, propositional logic, led him to come to the bizarre conclusion that Keynes ‘s premises and conclusions, contained in Keynes’s Boolean, relational, propositional logic were somehow tied together with Plato’s metaphysical relations ...
openaire +1 more source
Studies in Inductive Logic and Probability.
The Journal of Philosophy, 1974Paul Teller +2 more
openaire +1 more source
Logic: Probability and inductive reasoning
2019Tracy Bowell, Robert Cowan, Gary Kemp
openaire +1 more source