Knowledge-based modeling of marketing managers' problem solving behavior

1991 ◽  
Vol 8 (1) ◽  
pp. 5-16 ◽  
Author(s):  
Paul Alpar
1993 ◽  
Vol 32 (04) ◽  
pp. 326-338
Author(s):  
B. Petkoff ◽  
H. Mannebach ◽  
S. Kirkby ◽  
D. Kraus

AbstractThe building of medical knowledge-based systems involves the reconstruction of methodological principles and structures within the various subdomains of medicine. ACCORD is a general methodology of knowledge-based systems, and MACCORD its application to medicine. MACCORD represents the problem solving behavior of the medical expert in terms of various types of medical reasoning and at various levels of abstraction. With MACCORD the epistemic and cognitive processes in clinical medicine can be described in formal terminology, covering the entire diversity of medical reasoning. MACCORD is close enough to formalization to make a significant contribution to the fields of medical knowledge acquisition, medical didactics and the analysis and application of medical problem solving methods.


1957 ◽  
Author(s):  
Jacqueline J. Goodnow ◽  
Irvin Rubinstein

2015 ◽  
Vol 16 (1) ◽  
pp. 9-21 ◽  
Author(s):  
Nicole Graulich

Organic chemistry education is one of the youngest research areas among all chemistry related research efforts, and its published scholarly work has become vibrant and diverse over the last 15 years. Research on problem-solving behavior, students' use of the arrow-pushing formalism, the investigation of students' conceptual knowledge and their cognitive skills have shaped our understanding of college students' understanding in organic chemistry classes. This review provides an overview of research efforts focusing on student's perspectives and summarizes the main results and pending questions that may guide subsequent research activities.


1989 ◽  
Vol 5 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Alison King

Verbal interaction and problem-solving behavior of small cooperative peer groups were observed while these groups worked on a computer-assisted (non-programming) problem-solving task. The purpose of the study was to identify problem-solving behaviors which relate to success within this context. Thirty-six fourth grade students were assigned to groups of three to form six groups of high and six of average academic ability. All groups used a nonprogramming version of Logo turtle graphics to reproduce a given line design on the computer screen. Results indicate that there was no relationship between success and ability, and that successful groups asked more task-related questions, spent more time on strategy, and reached higher levels of strategy elaboration than did unsuccessful groups. High ability groups made a greater number of long task statements than did average groups, bindings are discussed within the theoretical frameworks of social cognition and modeling. Instructional implications, including those for the development of computer-assisted learning materials for peer group problem solving, are also discussed.


1971 ◽  
Vol 37 (3) ◽  
pp. 433-436 ◽  
Author(s):  
Marvin Levenson ◽  
Charles Neuringer

Author(s):  
Alexander Kott ◽  
Gerald Agin ◽  
Dave Fawcett

Abstract Configuration is a process of generating a definitive description of a product or an order that satisfies a set of specified requirements and known constraints. Knowledge-based technology is an enabling factor in automation of configuration tasks found in the business operation. In this paper, we describe a configuration technique that is well suited for configuring “decomposable” artifacts with reasonably well defined structure and constraints. This technique may be classified as a member of a general class of decompositional approaches to configuration. The domain knowledge is structured as a general model of the artifact, an and-or hierarchy of the artifact’s elements, features, and characteristics. The model includes constraints and local specialists which are attached to the elements of the and-or-tree. Given the specific configuration requirements, the problem solving engine searches for a solution, a subtree, that satisfies the requirements and the applicable constraints. We describe an application of this approach that performs configuration and design of an automotive component.


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