Causation Models

These models and simulations have been tagged “Causation”.

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 bet
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
8 2 months ago
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
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
Three Agent Model of  IM-13669 . Unconscious affective dynamics Josh Epstein's Agent Zero Book  webpage   See spatial patches version  IM-15119    
Three Agent Model of IM-13669. Unconscious affective dynamics Josh Epstein's Agent Zero Book webpage 
See spatial patches version IM-15119
 
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
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
4 2 months ago
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 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.
From
Roy Bhaskar et al  Book  Interdisciplinarity and climate change: transforming
knowledge and practice for our global future 
From Roy Bhaskar et al Book Interdisciplinarity and climate change: transforming knowledge and practice for our global future 
 From Marken PCT and Causation  blog entry  First use of button API  Additional PCT Causation and Behavior insights have been added and tagged

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


Additional PCT Causation and Behavior insights have been added and tagged
 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

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

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
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
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   See also Behaviorism insight  IM-7776   Next ste
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 
See also Behaviorism insight IM-7776
Next step is a 3 Agent model at IM-14058
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
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

 ​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 respon
​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 IM-3345 and through this to PCT and Dynamics in Action. See also  Causal Analysis IM  and  Explaining explanation IM

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

Hoffman and Klein IEEE Intelligent systems 2017-18 series of articles on decision making and computing, including macrocognition 1  theoretical foundations  abstract  2  empirical foundations  abstract  3  causal landscape s abstract  4  deep n ets abstract   See also 2018 Gary Klein  podcast  and 
Hoffman and Klein IEEE Intelligent systems 2017-18 series of articles on decision making and computing, including macrocognition
causal landscapes abstract
deep nets abstract 
See also 2018 Gary Klein podcast and IM-171552
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
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

WIP based on Mascia2017 Analyzing conservation strategies  article  and other mostly private insights. A more detailed form of structure agency  IM-1163
WIP based on Mascia2017 Analyzing conservation strategies article and other mostly private insights. A more detailed form of structure agency IM-1163
 Clone of  IM-3993  WIP based on 2016 Land Use Science  article  on Causal Analysis by Patrick Meyfroidt

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 

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

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
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
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 pr
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
Inference Robustness Assessment entails demonstrating that  the ways a model differs from the real world do not affect model based inferences.  From Jim Koopman's work on Infection Transmission Science esp  Biological Networks Book  Ch 13 p 453-4 and this accessible  paper  pdf
Inference Robustness Assessment entails demonstrating that the ways a model differs from the real world do not affect model based inferences. From Jim Koopman's work on Infection Transmission Science esp Biological Networks Book Ch 13 p 453-4 and this accessible paper pdf
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 pr
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