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Convergent thinking is a term coined by Joy Paul Guilford as the opposite of divergent thinking. It generally means the ability to give the "correct" answer to questions that do not require novel ideas, for instance on standardized multiple-choice tests for intelligence.
[3] [4] Display questions bear similarities to closed questions in terms of their requirement for short and limited answers and they can be classified under convergent questions. On the other hand, referential questions and open questions are similar in their requirement for long, often varied, answers, and can be grouped under divergent questions.
The process was adapted from the divergence-convergence model proposed in 1996 by Hungarian-American linguist Béla H. Bánáthy. [2] [3] The two diamonds represent a process of exploring an issue more widely or deeply (divergent thinking) and then taking focused action (convergent thinking). [4]
Convergent thinking is the opposite of divergent thinking as it organizes and structures ideas and information, which follows a particular set of logical steps to arrive at one solution, which in some cases is a "correct" solution. The psychologist J. P. Guilford first coined the terms convergent thinking and divergent thinking in 1956.
The two adult forms of the RAT consist of 30 items each. The respondent is allowed 40 minutes to complete the test. Each item provides three stimulus words that are remote from one another; the respondent is then required to find (via the creative process) another word that is a criteria-meeting mediating link, which can be associated with them all in a meaningful way.
Convergence in distribution is the weakest form of convergence typically discussed, since it is implied by all other types of convergence mentioned in this article. However, convergence in distribution is very frequently used in practice; most often it arises from application of the central limit theorem .
In mathematics, specifically in real analysis, the Bolzano–Weierstrass theorem, named after Bernard Bolzano and Karl Weierstrass, is a fundamental result about convergence in a finite-dimensional Euclidean space.
Instrumental convergence posits that an intelligent agent with seemingly harmless but unbounded goals can act in surprisingly harmful ways. For example, a computer with the sole, unconstrained goal of solving a complex mathematics problem like the Riemann hypothesis could attempt to turn the entire Earth into one giant computer to increase its ...