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In this "demand price" model, pet (emission price at day t) is calculated based on an inference from the accumulated emission allowance demand before day t to the annual overall emission demand.

These same designs are applied to EAO (CAI/CAL) programs (Gillespie, 2002; Hudson, 1984), which later evolve towards ICAI (intelligent computer-assisted instruction) in which it was intended to equip the programs with intelligent decision-taking based on an inference engine and on the user (Duchastel, 1986; Larkin & Chabay, 1992; Millward, Mazzucchelli, Magoon, & Moore, 1978; Rickel, 1989).

Another element, put forward in [20], is the distinction between action awareness based on prediction (prior to execution), and action awareness based on an inference after execution of the action (in retrospect): Our results suggest that both predictive and inferential processes contribute to the conscious awareness of operant action.

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Wittgenstein thus repudiated the traditional view according to which one's knowledge of other persons' minds must be based on an analogical inference from one's own case.

It is based on an analogical inference from a similarity between selected features of the analogue and features of the case at hand to some further similarity between the two.

For Popper, however, the important point was not whatever confirmation successful prediction offered to the hypotheses but rather the logical asymmetry between such confirmations, which require an inductive inference, versus falsification, which can be based on a deductive inference.

In this study, we design polynomial-based radial basis function neural networks (P-RBF NNs) based on a fuzzy inference mechanism.

The aim of this paper is to present a classifier based on a fuzzy inference system.

To remedy these two deficiencies, a generalized nearest-neighbor matching function based on a fuzzy inference system is proposed.

As a summary, the proposed method is based on a Bayesian inference theory, which provides an unbeatable framework to combine different nature information.

Koestinger et al. [29] presented KISSME method to learn a distance metric from equivalence constraints based on a statistical inference perspective.

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