scholarly journals Use of man-computer interaction in root-finding and numerical problem-solving

1970 ◽  
Author(s):  
Gerald David Ripley ◽  
R. J. Lambert
Keyword(s):  
Problem Solving ◽  
Numerical Problem ◽  
Root Finding ◽  
Computer Interaction

Using Brain Computer Interaction in Programming Problem Solving

2019 ◽  
Author(s):  
Joana Eloy ◽  
Ana Rita Teixeira ◽  
Anabela Gomes ◽  
Antonio Jose Mendes
Keyword(s):  
Problem Solving ◽  
Programming Problem ◽  
Computer Interaction

Numerical problem-solving environments — current and future trends

1990 ◽  
pp. 223-237
Author(s):  
J. C. Mason ◽  
I. Reid
Keyword(s):  
Problem Solving ◽  
Future Trends ◽  
Numerical Problem ◽  
Problem Solving Environments

What is a deep expert system? An analysis of the architectural requirements of second-generation expert systems

1989 ◽  
Vol 4 (3) ◽  
pp. 205-233 ◽  
Author(s):  
E. T. Keravnou ◽  
J. Washbrook
Keyword(s):  
Expert System ◽  
Problem Solving ◽  
Human Computer Interaction ◽  
Expert Systems ◽  
First Generation ◽  
Second Generation ◽  
Robust Solutions ◽  
Definition Of ◽  
Interaction Problem ◽  
Computer Interaction

AbstractFirst-generation expert systems have significant limitations, often attributed to their not being sufficiently deep. However, a generally accepted answer to “What is a deep expert system?” is still to be given. To answer this question one needs to answer “Why do first-generation systems exhibit the limitations they do?” thus identifying what is missing from first-generation systems and therefore setting the design objectives for second-generation (i.e. deep) systems. Several second-generation architectures have been proposed; inherent in each of these architectures is a definition of deepness. Some of the proposed architectures have been designed with the objective of alleviating a subset, rather than the whole set, of the first-generation limitations. Such approaches are prone to local, non-robust solutions. In this paper we analyze the limitations (under the categories: human-computer interaction, problem-solving flexibility, and extensibility) of the first-generation expert systems thus setting design goals for second-generation systems. On the basis of this analysis proposed second-generation architectures are reviewed and compared. The paper concludes by presenting requirements for a generic second-generation architecture.

Free axisymmetric vibrations of solid cylinders: numerical problem solving

2010 ◽  
Vol 46 (5) ◽  
pp. 499-508 ◽  
Author(s):  
A. Ya. Grigorenko ◽  
T. L. Efimova
Keyword(s):  
Problem Solving ◽  
Numerical Problem

scholarly journals Integration Of Numerical Problem Solving Into The Chemical Engineering Curriculum

2020 ◽  
Author(s):  
Morcechai Shacham ◽  
Michael Cutlip
Keyword(s):  
Problem Solving ◽  
Chemical Engineering ◽  
Engineering Curriculum ◽  
Numerical Problem
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