Double loop simulation version of IM-8908 Based on 1990 SDR Article. Control systems act to make their own input match internal standards or reference signals. Competent control systems create illusions of stimulus response causality. Stimulus-response theory can approximate the relationship between disturbance and action, but it can't predict the consequences of behavior. These consequences are maintained despite disturbances. See also Double loop learning and Nurse Thinking Insights. See also IM-9273 for DLL LAIR model

See stella video for population example WIP Simplest Innovation diffusion model from Sterman Business Dynamics Ch9, with Correlation coefficients added, from Taylor TRB et al. (2010)  Improving model understanding using statistical screening WSC paper See also System Dynamics Review 26 (1) p 73-87 and earlier 2005 SDR paper with CCtemplateExcel

Simulation based on 1990 SDR Article. Control systems act to make their own input match internal standards or reference signals. Competent control systems create illusions of stimulus response causality. Stimulus-response theory can approximate the relationship between disturbance and action, but it can't predict the consequences of behavior. These consequences are maintained despite disturbances. See IM-9007 for a double loop version

WIP Causation insights linked to the Behavior insight  and through this to PCT and Dynamics in Action insight. See also Causal Analysis IM and Explaining explanation IM

WIP to explain iterative modelling of linkages over space and time see also causal pathways IM

Based on Nate Osgood's April 2014 Singapore Presentation Youtube video and Lyle Wallis material Gojii at DecisioTech See also Complex Decison Technologies IM as a more polished version

WIP Understanding pathways to observed effects complex causation Pathways Moving to Opportunity NYC example from Nate Osgood's big data lecture youtube video Feb 2017 Sydney.

Similar layout to CEU insight based on 2016 Land Use Science article on Causal Analysis by Patrick Meyfroidt This is focussed on causal chains

Three Agent Model of IM-13669. Unconscious affective dynamics Josh Epstein's Agent Zero Book webpage  

​Book (large pdf) by Alicia Juarrero subtitled intentional behavior as a complex system. Behaviour is action and change in the world, consisting of the external, mental and social world. Human action is intentional, meaningful  and hopefully effective. 

Behaviours can be:
Reactive: sense and respond
Adaptive: anticipate and learn
Generative: innovate and transform.
Which models help produce effective action?

From blog entry understandingsociety

Meaning and Causation. Expanded from IM-1163

WIP Addition of Emotion Regulation IM to Clone of IM-9007 Double loop version of IM-8908 Based on 1990 SDR Article.  See also Double loop learning and Nurse Thinking Insights. See also IM-9273 for DLL LAIR model. Also Azjen's Theory of planned behavior which could be framed in COM-B WIP at IM-51900

WIP integration of dynamic and complexity insights using rubik's cube metaphor from Pop Health Book insight folders,  and others linked in notes

Unconscious affective dynamics From Epstein, Joshua M. (2014-02-23). Agent_Zero: Toward Neurocognitive Foundations for Generative Social Science (Princeton Studies in Complexity) (p. 37). Princeton University Press. Kindle Edition Publisher webpage 

An overview of Thomas A Goudge's Book on The Thought of CS Peirce Dover NY 1950 and Thomas Knight's Book Charles Peirce NY 1965. See also causality insight

Examples of macroanalysis relevant to representing causal mechanisms linking genes to diseases from darden2018 MecCog article and 2017 Product to Process article

WIP based on Mascia2017 Analyzing conservation strategies article and other mostly private insights. A more detailed form of structure agency IM-1163

Peircean process approach to Causation from Menno Hulswit's article. See also Peirce thought insight 

From Roy Bhaskar et al Book Interdisciplinarity and climate change: transforming knowledge and practice for our global future 

Three Agent Model of IM-14058 with Spatial awareness. Unconscious affective dynamics Josh Epstein's Agent Zero Book webpage  Part II p.89 with spatial ABM. See next version at IM-15690

Attempt to clarify the differences in the energy balance and carbohydrate insulin obesity models described in Speakman and Hall's 2021 science article See also Nature Metabolism Obesity Causal Model Differences 2024 article and insight

Book summary based on Tech St Petersburg blog entry , Rowley 2015 and Jensen 1978 books/ translations and recent U of Hull CSS seminar june 2021 (links via twitter @OrsanS)

Diagrams on generalized knowledge claims and workflow processes from Magliocca 2018 Global Environmental Change article

From Marken PCT and Causation blog entry First use of button API

Additional PCT Causation and Behavior insights have been added and tagged