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By 1965, the field had experimented with several models of problem solving: some were based on formal logic; some used heuristic reasoning; some, called "neural networks," were inspired by the brain.
It employs conceptual models of problem domains to drive configuration of an application generator suitable for a related set of applications, such as reservation and resource allocation.
From their origins as models of problem solving, production systems have grown to become a major formalism for modeling cognitive skill and aspects of learning, in areas such as written arithmetic, reading, and knowledge-intensive areas of expertise such as chess playing and medical diagnosis.
Here, we examine whether models of problem solving based on this work are useful within the domain of evolutionary biology.
Accordingly, teachers and educators have focused on models of problem solving as guidelines for structuring inquiry-based processes in their subject lessons (Oser and Baeriswyl [2001]).
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The quality of a liberal arts university today depends greatly on the strength of its engineering programs, which serve as windows upon human experience and as models of problem-driven, rigorous inquiry in addressing some of the world's most pressing challenges.
They arise in many realistic models of problems in science, engineering, and medicine, where there is a time lag or after-effect.
It illustrated the method in the framework to index models of problems by using constraints as knowledge descriptions and demonstrated generation of explanation with the framework.
The proposed interface consists in the Model of Operational Manufacturing System, the evolution class framework, the model of problem and the problem handling procedure using these models.
We develop a model of problem difficulty for tabu search in the JSP, borrowing from similar models developed for SAT and other NP-complete problems.
The tutor maintains a cognitive model of problem solving for this class of problems, and associates various solution steps with distinct skills or knowledge components.
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