Sentence examples for sentential representation from inspiring English sources

The dominance of sentential representation systems in the history of modern logic has obscured several important facts about diagrammatic systems.

However, sentential representation systems (e.g., first-order logic) have been dominant in the modern history of logic, while diagrams have largely been seen as only of marginal interest.

Since the development of modern logic, important concepts, e.g., syntax, semantics, inference, logical consequence, validity, and completeness, have been applied to sentential representation systems only.

Specifically we illustrate the way a particular kind of self-explanation (categorical explanation) mediates students' transformation from the sentential representation of the problem to the tabular one.

In contrast, the processing of AP relies primarily on syntactic analyses because the meanings of the individual words cannot be combined into a meaningful sentential representation.

A search for the distinct role of diagrams has led researchers to explore the differences among different forms of external or internal representations, and mainly between diagrammatic and sentential representations.

Thus, we can differentiate between speed of responding and the ability to develop syntactic and semantic sentential representations.

These analyses establish that there were no behavioral differences between the young and older subjects in the ability to develop syntactically and semantically coherent sentential representations, consistent with previous findings (Tyler 1992).

We used this paradigm in the present functional magnetic resonance imaging (fMRI) experiment to obtain a measure of the ability of listeners to construct semantic and syntactic sentential representations word by word as the sentence unfolds over time.

Peirce was probably the first person to discuss rules of transformation in a non-sentential representation system.

It is not just that these models lack the sort of sentential, compositional representations assumed in more traditional (or "language of thought") models.