Train-to-Code: An adaptive expert system for training systematic observation and coding skills

An Experimental Adaptive Expert System

This paper explores an approach to building an adaptive expert system in an environment of human-computer collaboration. Components of an adaptive system are identified, with an emphasis on the mechanisms that enable adaptive behavior to occur. Knowledge representation in a rule-based, object-orientated expert system is described through the establishment of appropriate relationships utilizing ...

Operations analysis of behavioral observation procedures: a taxonomy for modeling in an expert training system.

This article introduces a taxonomy based on a procedural operations analysis (Verplanck, 1996) of various method descriptions found in the behavior observation research literature. How these alternative procedures impact the recording and subsequent analysis of behavioral events on the basis of the type of time and behavior recordings made is also discussed. The taxonomy was generated as a foun...

Designing an expert system for diagnosis of TB

Developing an Expert System for Diabetics Treatment Advices

Today, expert systems are widely applied in medicine for prognosis, diagnosis, checkup, and treatment of various kinds of diseases. A comprehensive system for the checkup and treatment of different types of diabetes is still lacking. This paper reports development of such a system, its validation, and its utility in facilitating medical decision-making and supporting self-care.

Cognitive Training: Neural Correlates of Expert Skills

Expertise is a ubiquitous pre-requisite for modern life, but little is known about what neural mechanisms underpin the acquisition or employment of such skills. Recent evidence from functional magnetic imaging studies suggests that a network of frontal and parietal regions plays a crucial role.