Psychology Models

These models and simulations have been tagged “Psychology”.

in the beginning, expectations are normal for a new employee. By excelling, the employee builds goodwill, and immunizes self from criticism and accompanying shame. However, as time goes on, expectations rise until they first reach, and then exceed, the level of the employee's performance. This may b
in the beginning, expectations are normal for a new employee. By excelling, the employee builds goodwill, and immunizes self from criticism and accompanying shame. However, as time goes on, expectations rise until they first reach, and then exceed, the level of the employee's performance. This may be due to demands from multiple sources that are unaware of each other. It may also come about as completed projects add a layer of ongoing, and growing, maintenance. At this point, perceived criticism of the employee's performance occurs. Depending on the employee's potential for shame, which is likely high due to his/her use of this perfectionist defense, this criticism triggers shame, which then results in an avoiding (withdrawal, quitting) or controlling (secondary anger, irritability) defensive response.  Alternatively, the employee may choose effective action, setting boundaries and beginning to address the shame directly, separating it from  performance.
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 8 months ago
 Love affairs and Differential equations. From Michael J Radzicki (1993) Dyadic processes,tempestuous relationships, and system dynamics Syst. Dyn. Rev. 9 (1) :79-94 

Love affairs and Differential equations. From Michael J Radzicki (1993) Dyadic processes,tempestuous relationships, and system dynamics Syst. Dyn. Rev. 9 (1) :79-94 

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 8 months ago
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
 
 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.

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.

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
From Brown and Heathcote's 2008  Paper  on the simplest model of Choice ResponseTime , a  Tutorial paper  and a  Workload capacity paper  that estimates drift rate v for individuals with single and multiple targets
From Brown and Heathcote's 2008 Paper on the simplest model of Choice ResponseTime , a Tutorial paper and a Workload capacity paper that estimates drift rate v for individuals with single and multiple targets
Causal loop diagram illustrating how anxiety may lead to poor performance (R1) and how this reinforcing loop may be counter-balanced by utilizing tools and techniques to manage anxiety (B2).
Causal loop diagram illustrating how anxiety may lead to poor performance (R1) and how this reinforcing loop may be counter-balanced by utilizing tools and techniques to manage anxiety (B2).
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
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

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

From Brown and Heathcote's 2008  Paper  on the simplest model of Choice ResponseTime , a  Tutorial paper  and a  Workload capacity paper  that estimates drift rate v for individuals with single and multiple targets. With start point variability.
From Brown and Heathcote's 2008 Paper on the simplest model of Choice ResponseTime , a Tutorial paper and a Workload capacity paper that estimates drift rate v for individuals with single and multiple targets. With start point variability.
Bipolar II treatment modeling using Van der Pol-like oscillators.  In this simulation an afflicted individual with Bipolar II disorder is put to treatment after 20 months the calibration of the medicine or treatment he recieves is such that it simulates the natural cycles of a "normal being". You ca
Bipolar II treatment modeling using Van der Pol-like oscillators.

In this simulation an afflicted individual with Bipolar II disorder is put to treatment after 20 months the calibration of the medicine or treatment he recieves is such that it simulates the natural cycles of a "normal being". You can note by manipulating the parameters that sometimes too much treatment disrupts equilibria. Also note that in the state diagrams there are 2 limit cycles, the lower one being the healthiest as there are less changes.
This model represents an individual as consisting of a brain coupled to an external environment. The brain will be modeled at a resolution of functional brain regions that are thought to be most important for effecting a person's learning in a classroom environment.  This model encodes both hierarch
This model represents an individual as consisting of a brain coupled to an external environment. The brain will be modeled at a resolution of functional brain regions that are thought to be most important for effecting a person's learning in a classroom environment.

This model encodes both hierarchy relationships (brain and senses are part of an individual's body, which is, in turn, part of the environment), as well as causal relationships.

The hierarchy is containment and is represented by nested folders. The environment is modeled as a folder containing all objects of interest, including the individual's body as a whole system. The individual's body is modeled as a folder containing a brain and senses. The individual's body folder is contained inside of the environment folder to represent the idea that the individual's body is contained in, and is a part of, the environment.The brain object and senses objects are contained inside the individual's body folder to represent that the brain and senses together form an object and process that is internal to the individual's body (that is, is contained inside the individual's body and are part of the individual's body).
 
 Barry Richmond's model describing behavior and anxiety theory for the Milgram experiment. Richmond, B. (1977). “Generalization with Individual Uniqueness: Modeling the Milgram Experiments.” Technical Report D-2508-2, System Dynamics Group, Sloan School of Management, MIT. 
  Personal versus Situa

Barry Richmond's model describing behavior and anxiety theory for the Milgram experiment. Richmond, B. (1977). “Generalization with Individual Uniqueness: Modeling the Milgram Experiments.” Technical Report D-2508-2, System Dynamics Group, Sloan School of Management, MIT.

 Personal versus Situational Dynamics: Implications of Barry Richmond’s Models of Classic Experiments in Social Psychology by James K. Doyle, Khalid Saeed, Jeanine Skorinko Department of Social Science and Policy Studies Worcester Polytechnic Institute 2008

See also CLE Class Notes 2014

Examples of macroanalysis relevant to assessing individual patient causal mechanisms contributing to deficits in wellbeing from fava guidi sturmey and ethicsfor judging value from barbosa 2012
Examples of macroanalysis relevant to assessing individual patient causal mechanisms contributing to deficits in wellbeing from fava guidi sturmey and ethicsfor judging value from barbosa 2012
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
 The simple  graph shows two feedback loops that interact
to make climate change and its consequences worse, leading to   an unexpected
(& inescapable?)   dilemma. Presently, 
there are 413 ppm of CO2 gasses in the atmosphere. Even without any
further emission of greenhouse gasses, this high lev

The simple  graph shows two feedback loops that interact to make climate change and its consequences worse, leading to an unexpected (& inescapable?) dilemma. Presently,  there are 413 ppm of CO2 gasses in the atmosphere. Even without any further emission of greenhouse gasses, this high level of CO2 in the atmosphere will ensure constantly worsening climatic consequences because of delays that operate in the climate system. The dilemma is caused by relentlessly worsening of extreme weather events, droughts, forest fires etc., the need for draconian measures to deal with the situation and the opposition to the measures, described by the feedback loop B2.This opposition is rooted in human nature, the psychological defence mechanisms that cause us to repress or even deny unpalatable truths that threaten our basic assumptions and the way we understand life. Together,  the loops B1 & B2 create a vicious reinforcing loop that describes the escalating and worsening situation created by the dilemma.

Please look at Insight No. 238770 that provides background information and also at the information labels attached to majority of the variables in the model. 

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