Sentence examples for a setting for knowledge from inspiring English sources

The phrase "a setting for knowledge" is correct and usable in written English.
It can be used to describe an environment or context that facilitates learning or the acquisition of information.
Example: "The library serves as a setting for knowledge, providing resources and a quiet space for students to study."
Alternatives: "an environment for learning" or "a space for education".

Exact(1)

Cases may function merely as narratives, or as a setting for knowledge.

Similar(59)

In this paper, we suggest a multi-agent architecture based on a set of knowledge models and learning mechanisms for disturbance and reactive decision making management.

Input to the engine is: a set of knowledge that models the domain being argued about, a set of rules used to infer new knowledge in the domain (when instantiated a rule forms an argument for the knowledge generated), a set of parameters that configure the behaviour of the engine, and a query that the user wishes the engine to argue about.

Here a set of knowledge-based potentials suitable for quantitative description of such behavior is extracted from the observed positions of water molecules and amino acid atoms that form hydrogen bonds with the nitrogenous bases in high resolution crystal structures.

Patients' baseline level of activation was assessed as low or medium to high and subsequently individualized goals were set for knowledge (low PAM) or skills and behaviors (medium and high PAM) [ 77].

Finally, it would seem that the model of demonstration that Maritain employs is foundationalist and, thus, has to answer to those criticisms that modern anti-foundationalism draws attention to — e.g., that a foundationalist theory sets a standard for knowledge that is not only without justification, but is a standard that it cannot itself satisfy.

It provides a set of activities for knowledge search, acquisition and integration from distributed sources located in information grid environment.

To tackle these issues, we present a set of algorithms for knowledge and data dissemination in opportunistic networks, based on simple and very effective models (called cognitive heuristics) coming from cognitive sciences.

ARI and SL performed proteomics experiments and the initial data analysis and provided the resulting data sets for knowledge-based approaches.

We identified a set of critical knowledge units required for enhanced SA and anticipatory decision making, including knowledge of components of the network, details of each computer system, I/O ports, traffic flow/volumes, and ability to project impacts of possible courses of action.

From the interviews it became clear that quality systems (e.g., systems for assessing health promotion interventions) were developed in order to set standards for knowledge quality assessment.

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