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Behavioral psychology and organizational development: In their 1978 work on organizational learning, Chris Argyris and Donald Schön developed the concepts of single-loop and double-loop learning. [22] Single-loop learning is the process in which a mistake is corrected by using a different strategy or method that is expected to yield a ...
When problems arise, the proposed solutions often turn out to be only short-term (single-loop learning instead of double-loop learning) and re-emerge in the future. [6] To remain competitive, many organizations have restructured, with fewer people in the company. [1] This means those who remain need to work more effectively. [3]
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Double-loop learning is used when it is necessary to change the mental model on which a decision depends. Unlike single loops, this model includes a shift in understanding, from simple and static to broader and more dynamic, such as taking into account the changes in the surroundings and the need for expression changes in mental models. [3]
Here is his example, translated from COBOL into Java. The purpose of these two programs is to recognize groups of repeated records (lines) in a sorted file, and to produce an output file listing each record and the number of times that it occurs in the file. Here is the traditional, single-loop version of the program.
A control loop is the fundamental building block of control systems in general and industrial control systems in particular. It consists of the process sensor, the controller function, and the final control element (FCE) which controls the process necessary to automatically adjust the value of a measured process variable (PV) to equal the value of a desired set-point (SP).
Elon Musk and Vivek Ramaswamy aim to cut $2 trillion from the federal budget by July 4, 2026. They've said they'll fire federal employees, "delete" agencies, and publicize all of their work.
The boundaries of the polytopes, the data dependencies, and the transformations are often described using systems of constraints, and this approach is often referred to as a constraint-based approach to loop optimization. For example, a single statement within an outer loop ' for i := 0 to n ' and an inner loop ' for j := 0 to i+2 ' is executed ...