These models and simulations have been tagged “Learning”.
Related tagsHealth Care
Simple rich picture causal loop diagram of single and double loop learning including experiential learning concepts. Launchpad for Learning
From Stewart Brand see Wikipedia Also called Shearing Layers
Sources of Policy Resistance. From article Sterman, John D. Learning from Evidence in a Complex World Am J Public Health 2006 96: 505-514. See also fighting complexity IM-1955
Simple rich picture causal loop diagram of single and double loop learning. See Individual Learning IM-616
Nested multilevel inquiry across multiple levels of organization of biology concepts. Adapted from Knippels (2002) PhD Thesis at http://bit.ly/GGcKo1 . Note the similarity to the nested adaptive cycles of socio-ecological systems in IM 1169
From Daniel H Kim (1993) Sloan Management Revew article
William T. Powers insight that animate behavior is the purposeful control of perception. Behavior exists to control perceptual signals; internal reference signals are purposes. Continual reorganization of ends and means in the face of obstacles is Learning.
Replaced by IM-9781 Clone of IM-752 map for working simulation model This model is derived from "Nobody Ever Gets Credit for Fixing Problems that Never Happened: Creating and Sustaining Process Improvement" by Nelson P. Repenning and John D Sterman. An expanded map is at IM-1918.
IM-1175 with computable arguments, based on ideas from Micropublications paper about Claims, Evidence, Representations and Context Networks
Replaced by Map at IM-1918 WIP Clone of IM-752 This model is derived from the paper "Nobody Ever Gets Credit for Fixing Problems that Never Happened: Creating and Sustaining Process Improvement" by Nelson P. Repenning and John D Sterman with Intent Act Effect and Mental models added to show double loop learning IM-619 with IM-897 and IM-1897 ideas. http://bit.ly/jCXGKL Replaced by PCT view at IM-9273