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  2. Organizational learning - Wikipedia

    en.wikipedia.org/wiki/Organizational_learning

    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 ...

  3. Learning organization - Wikipedia

    en.wikipedia.org/wiki/Learning_organization

    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]

  4. Double-loop learning - Wikipedia

    en.wikipedia.org/wiki/Double-loop_learning

    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]

  5. Multi-agent reinforcement learning - Wikipedia

    en.wikipedia.org/wiki/Multi-agent_reinforcement...

    While research in single-agent reinforcement learning is concerned with finding the algorithm that gets the biggest number of points for one agent, research in multi-agent reinforcement learning evaluates and quantifies social metrics, such as cooperation, [2] reciprocity, [3] equity, [4] social influence, [5] language [6] and discrimination. [7]

  6. Reflective practice - Wikipedia

    en.wikipedia.org/wiki/Reflective_practice

    Reflective practice is the ability to reflect on one's actions so as to take a critical stance or attitude towards one's own practice and that of one's peers, engaging in a process of continuous adaptation and learning.

  7. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  8. Motor program - Wikipedia

    en.wikipedia.org/wiki/Motor_program

    Though this theory represented an important leap forward in motor learning research, [1] one weakness in Adams’ closed-loop theory was the requirement of 1-to-1 mapping between stored states (motor programs) and movements to be made. This presented an issue related to the storage capacity of the central nervous system; a vast array of ...

  9. Control loop - Wikipedia

    en.wikipedia.org/wiki/Control_loop

    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).