Double loop learning

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The work of Chris Argyris (1923-2013) describes the concept of double-loop learning (DLL) in which an individual, organization or entity is able, having attempted to achieve a goal on different occasions, to modify the goal in the light of experience or possibly even reject the goal. Single-loop learning (SLL) is the repeated attempt at the same problem, with no variation of method and without ever questioning the goal.

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