Simulation based on Control Theory: A model of Organisms System Dynamics Review article. Control systems act to make their own input match internal standards or reference signals.  See also a double loop learning simulation insight

Double loop learning simulation using a hierarchy of an action and intent system based on Perceptual Control Theory. The action system described in a Control Theory insight now has an added intent system which changes the internal reference signal for the action system. See also Individual Learning causal loop insight story and Double loop learning causal loop insight story

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

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

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

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

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.

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

​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?

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

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

Map of Causal Structure outlined in Thucydides History of the Peloponnesian War based on Fuzzy Cognitive Map, Matt Fisher's 2017 UC Berkeley Thesis on Tragic Science and other sources (see notes (i))

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

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 

UNfolding story 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)

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

From blog entry understandingsociety

Meaning and Causation. Expanded from IM-1163

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

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

WIP based on Nate Osgood's Motivation for Dynamic Simulation Models in System Science Lecture see Youtube video at 20:34

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

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

​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?

Diagrams from Chen2011 IEEE Computer Article 

From Data Analysis and Visualization to Causality Discovery