Sentence examples for acceptable inferences from inspiring English sources

Goodman's idea was that we justify rules of inference in inductive or deductive logic by bringing them into reflective equilibrium with what we judge to be acceptable inferences in a broad range of particular cases.

At the same time, we should correct or revise our views about particular inferences we initially might think are acceptable if we come to see them as incompatible with rules that we generally accept and refuse to reject because they, in turn, best account for a broad range of other acceptable inferences.

It systematizes the principles licensing acceptable inference, and helps to highlight at an abstract level seductive patterns of incorrect inference to be avoided by anyone with a primary interest in truth.

A more generous reading of Goodman's proposal would widen the reflective equilibrium he proposes to include some of the beliefs about standards for acceptable inference that logicians develop (though some think that wide reflective equilibrium does not overcome the reliability problem noted above).

A theory of conditionals aims to give an account of the conditional construction which explains when conditional judgements are acceptable, which inferences involving conditionals are good inferences, and why this linguistic construction is so important.

However, particle-based approximation via nonparametric belief propagation (NBP), proposed by Ihler et al. [2 4], makes BP acceptable for inference in sensor networks.

Nevertheless, the particle-based approximation via nonparametric representation makes probabilistic methods acceptable for the inference in sensor networks.

In this sense, our beliefs about acceptable rules of inference are constrained by the "evidence" provided by what we believe to be good or correct examples or instances of inferential reasoning.

In Aspects of Reason, Grice begins by considering the suggestion that reasoning consists in "the entertainment (and often acceptance) in thought or in speech of a set of initial ideas (propositions), together with a sequence of ideas each of which is derivable by an acceptable principle of inference from its predecessors in the set" (2001, 5).

We also discuss methods whereby observational studies can become acceptable tools for causal inferences.

Indeed, it is part of the meaning of 'cloud' that this inference is acceptable.