Sentence examples for two types of inference from inspiring English sources

Modus ponens and modus tollens, ( Latin: "method of affirming" and "method of denying") in propositional logic, two types of inference that can be drawn from a hypothetical proposition i.e., from a proposition of the form "If A, then B" (symbolically A ⊃ B, in which ⊃ signifies "If... then").

The difference between these two types of being is illustrated by the distinction between two types of inference: from 'A man is an animal', in which the composition involved is a being in the absolute sense, it follows 'Therefore a man is', but from 'A chimaera is a non-being', in which the composition is a being in a certain sense only, it does not follow 'Therefore a chimaera is'.

The two types of inference are inherently related, prediction error signals being modulated by their expected precision.

Two types of inference were performed, using the admixture model of ancestry together with the correlated allele frequencies model (Falush et al. 2003), with and without the use of sampling location as prior information (Hubisz et al. 2009).

The internal generative model is hence involved in two types of inference performed simultaneously: the inference on the content of the prediction error (sensory signal) and the inference about the expected precision of the prediction error, or its variability.

In the ecological literature, two types of inferences seem particularly vulnerable to indirect evidence: inferences following studies on species that are accepted or strongly promoted as bioindicators of changes in marine productivity such as the black-legged kittiwake, and inferences that implicate a fisheries-induced reduction in prey availability to failed breeding.

In essence, the preferential looking method allows us to draw two types of inferences: that audiovisual correspondence has been recognized and that the direction of preferential looking reflects the salience of the stimuli, where salience can be determined by affective and physical properties of the stimuli [26].

All five types of inference processing described by Klimoski and Donahue (2001) appeared to be present in the assessment of trainee performance during single patient encounters.

These areas are related to three types of inferences and are crucial in our context.

There are two types of fuzzy inference systems that can be implemented in the Fuzzy Logic Toolbox: Mamdanitype and Sugeno-type (Roger & Gulley, 1995).

Consistent with evaluation designs described by Habicht and colleagues [ 27], the Integra design includes evaluation of performance and impact to try to make two types of causal inference: adequacy and plausibility.