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 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 Learnin
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
9 5 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 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
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
4 5 months ago
WIP Mostly a combination of Barone 1998 Advanced Personality book and Charles Hampden-Turner 1982 book Maps of the Mind
WIP Mostly a combination of Barone 1998 Advanced Personality book and Charles Hampden-Turner 1982 book Maps of the Mind
5 months ago
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).
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
 
 
 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

Launchpad about reorganisation based on Bogdanov's Tektology general theory of organization, perceptual control theory, personal history and current concerns, linked to the modern (or historical) organization of biology and political economy. 
Launchpad about reorganisation based on Bogdanov's Tektology general theory of organization, perceptual control theory, personal history and current concerns, linked to the modern (or historical) organization of biology and political economy. 
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
Examples of macroanalysis relevant to clinical reasoning --assessing individual patient causal mechanisms contributing to deficits in wellbeing from  book  fava guidi sturmey and chapter ethics for judging value from barbosa 2012
Examples of macroanalysis relevant to clinical reasoning --assessing individual patient causal mechanisms contributing to deficits in wellbeing from book fava guidi sturmey and chapter ethics for judging value from barbosa 2012
3 6 months ago
WIP ​Book Summary see  blog entry  Also Chuang2009 ISDC P1127 paper, Newman2017 and Edmondson2014 papers
WIP ​Book Summary see blog entry Also Chuang2009 ISDC P1127 paper, Newman2017 and Edmondson2014 papers
SD reformulation of  jama psychiatry article  mason2017 on neurocomputational model of mood instability and reward dysregulation in bipolar disorder
SD reformulation of jama psychiatry article mason2017 on neurocomputational model of mood instability and reward dysregulation in bipolar disorder
Experimenting with body image issues.
Experimenting with body image issues.
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
 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.

The following model models fear expression. The model implements an expectations model of fear expression in the brain.    In this model, four broad brain regions are identified: the sensory/association cortices (SC), the lateral and basal lateral amygdala (FA), the basal medial amygdala (BA), and t
The following model models fear expression. The model implements an expectations model of fear expression in the brain.

In this model, four broad brain regions are identified: the sensory/association cortices (SC), the lateral and basal lateral amygdala (FA), the basal medial amygdala (BA), and the ventromedial prefrontal cortex (PFC).

The sensory/association cortices signal the perception of stimuli to FA and the PFC. The FA and PFC each form an expectation that the subject will (FA) and will not (PFC) experience an intrinsically fearful stimulus (IFS). The PFC inhibits activation of the FA. The amount of inhibition is proportional to the PFCs confidence that the subject will not encounter an intrinsically fearful stimulus. The modulated signal is transmitted to the BA which then stimulates other brain regions that induce the physical changes associated with fear.

Both the FA and PFC adapt their expectations based on experience. This model uses two scaled geometric sum probability estimation models (PEM) to represent the behavior of the expectation circuits within the FA and PFC. In reality, the PFC and FA probably estimate the probability that the subject will encounter an IFS based on the ease of recall of positive (instances in which the observed stimulus predicted the IFS) and negative (instances in which the observed stimulus did not predict the IFS) memories involving the observed and expected stimuli. The memories associated with positive instances are probably more easily recalled as the amygdala sends signals to the hippocampus that strengthen episodic memory formation during stressful events. Accordingly, the PEM associated with the PFC has an additional decay term that weakens the negative expectations over time, modeling memory decay. This decay term, allows us to model spontaneous fear recovery.

Experimentation suggests that fear extinction does not, principally, involve forgetting fear associations. Rather, it involves learning new associations that suppress previously learned fear associations. Brain imaging experiments suggest that fear expression and suppression are generated by different brain regions; the amygdala (expression) and the ventromedial prefrontal cortex (suppression). The theory that fear extinction does not involve forgetting fear associations was supported by observations of fear recovery, in which it was observed that subjects recover fear faster than they did during fear induction, which suggests that fear associations persist after fear extinction. To model this, we associate two different sensitivity coefficients to the FA PEM and the PFC PEM. This allows us to express the relative stability of fear associations stored within the FA in comparison to those stored within the PFC.

This model uses a simple linear model to represent fear suppression by the PFC. We define a parameter, ki, that defines the maximum proportion of fear generated by the FA that can be suppressed by the PFC. In reality this property corresponds to the strength of the neural projections from the ventromedial prefrontal cortex to the amygdala. The neurons within this pathway are serotonergic, chronic deficiency in serotonin may inhibit the structural development of this pathway contributing to anxiety regulation disorders. Medications such as serotonin reuptake inhibitors (SSRIs) can increase the amount of serotonin available within this region and over time may foster development. Accordingly, we allow ki to evolve over time within the model.

Significantly, our model posits the existence of intrinsically fearful stimuli. It assumes that certain stimuli, such as extreme pain, and fear, are innately anxiogenic. Expectation models, posit that the fear induced by most stimuli however are the result of learned associations. Presented with a non-intrinsically fearful stimlus (NIFS), the amygdala estimates the probability that the NIFS signals an IFS. The fear elicited by the NIFS is proportional to the estimated probability of encountering the IFS.
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