The upper ontology space describing knowledge about all context components is incremented with subject-domain ontology knowledge, and used as a unified knowledge base for system reasoning.
In this paper, we investigate whether design changes that reflect three of Clark and Mayer's (2011) principles Personalization, Modality, and Redundancy improve student engagement with an online STEM learning system, Reasoning Mind.
We looked for evidence of this by examining the number of evaluations per child with ASD recorded in the ADDM Network surveillance system, reasoning that if the higher prevalence of ASD among children of higher SES was due to increased access to diagnostic services, high SES might be associated with a higher number of diagnostic evaluations per child.
In the field of economic analysis Mukerjee has proposed a theoretical means of combining system I and system II reasoning.
In formal systems for reasoning about actions, the ramification problem denotes the problem of handling indirect effects.
The prognosis system will be founded on a collaboration between sensor systems, advanced reasoning methods for data fusion and signal interpretation, and modeling and simulation systems.
The DPT postulates two systems of reasoning: System 1 (automatic, nonanalytic, intuitive) and System 2 (effortful, analytic, abstract and logical thinking) cognitive processes [ 67],[ 68, 69].
It is possible to integrate this incomplete but valuable knowledge into the fuzzy logic system, due to the system's reasoning style, which is similar to that of a human being.
At the time when Gentzen worked out his system of natural deduction, Stanislaw Jaskowski was also developing a logical system for reasoning with assumptions.
