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

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

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 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

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

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.

WIP Causation insights linked to the Behavior insight IM-3345 and through this to PCT and Dynamics in Action. See also Causal Analysis IM and Explaining explanation IM

​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?

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 

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

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

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

Additional PCT Causation and Behavior insights have been added and tagged

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

Completion of IM-15119 (which added patches to IM-14058). Unconscious affective dynamics Josh Epstein's Agent Zero Book webpage  Part II p.89 with 2 agent types, spatial patches and location aware, mobile occupying (blue) agents

Clone of IM-3993 WIP based on 2016 Land Use Science article on Causal Analysis by Patrick Meyfroidt

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

From blog entry understandingsociety

Meaning and Causation. Expanded from IM-1163

Hoffman and Klein IEEE Intelligent systems 2017-18 series of articles on decision making and computing, including macrocognition

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

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

Peircean process approach to Causation from Menno Hulswit's article. See also Peirce IM-1376 

WIP integration of dynamic and complexity insights using rubik's cube metaphor from IM-78725 folders, Dynamics in action IM-3239  System dynamics IM-1248 and others