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).
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
Double loop PCT IM-9007 extended to show hierarchical PCT and goal conflict psychotherapy. A simulation structure for IM-233044 See also a Suicide crisis and PCT IM-173189 simulation structure
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
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.
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.
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 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.
Delusions, false
theories and ideas about the world, can be dangerous when acted upon. I
would count as delusional beliefs, belief in 'creationism', 'market fundamentalism' and also the belief that 'climate change is not anthropogenic'.
The CLD
seeks to illustrate the dynamic that makes it difficult, if not impossible, to
disabuse holders of fanatical beliefs by simply using rational arguments and
facts. The professor of psychology, Jerry Kroth, said that delusions can be seen
as an incipient mental illness. He also said that 'repression' and 'denial' are by-products of delusions. It seems that rational arguments are useless when facts are simply denied: the dynamic shows that trying to refute a strongly held irrational belief merely strengthens it.
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
Love affairs and Differential equations. From Michael J Radzicki (1993) Dyadic processes,tempestuous relationships, and system dynamics Syst. Dyn. Rev. 9 (1) :79-94
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
