Z209 from Hartmut Bossel's System Zoo 1 p112-118. Compare with PCT Example  IM-9010

Z209 from Hartmut Bossel's System Zoo 1 p112-118. Compare with PCT Example IM-9010

WIP AnyLogic Hybrid Model methods and examples taken from Nate Osgood's Bootcamps around 2017
WIP AnyLogic Hybrid Model methods and examples taken from Nate Osgood's Bootcamps around 2017
 Effect of rewards on the selection promotion and retirement of scholars in universities. Based on Geoffrey Brennan's Selection and the Currency of Reward chapter10 in The Theory of Institutional Design ed. RG Goodwin Cambridge University Press 1996 See also  IM-2016

Effect of rewards on the selection promotion and retirement of scholars in universities. Based on Geoffrey Brennan's Selection and the Currency of Reward chapter10 in The Theory of Institutional Design ed. RG Goodwin Cambridge University Press 1996 See also IM-2016

WIP based on Raafat Zaini's 2015  Triple Helix article  and  PhD Colloquium  and  ISDC 2013  university growth paper  ithink models as a starting point for health care systems science modelling growth dynamics
WIP based on Raafat Zaini's 2015 Triple Helix article and PhD Colloquium and ISDC 2013  university growth paper ithink models as a starting point for health care systems science modelling growth dynamics
 
 
 
 
 This Loop diagram outlines how community engagement endeavors might build up social capital in a location and inspire perseverance in the face of adversity. As such, these dynamics contribute to the reduction in community problems. Inspired by the work of Wayne Hoy, Bandura, Sampson and man

This Loop diagram outlines how community engagement endeavors might build up social capital in a location and inspire perseverance in the face of adversity. As such, these dynamics contribute to the reduction in community problems. Inspired by the work of Wayne Hoy, Bandura, Sampson and many others.

This is to help understand the way a modern university system works.
This is to help understand the way a modern university system works.
Crea un modelo de propagación de una epidemia en una población constante. Acople de Bucles Universidad del Cauca.  Profesor: Miguel Angel Niño Zambrano  curso:  Enlace Curso en Moodle   Videos ejemplos:  Enlace a la lista de videos del curso youtube
Crea un modelo de propagación de una epidemia en una población constante. Acople de Bucles
Universidad del Cauca. 
Profesor: Miguel Angel Niño Zambrano
Summary of Paulo Freire's 1968 book . See also  Youtube video esp Chomsky , Freire 1998 Cultural Action for Freedom publication and Zhong Yaying ubc  2018 thesis
Summary of Paulo Freire's 1968 book . See also Youtube video esp Chomsky, Freire 1998 Cultural Action for Freedom publication and Zhong Yaying ubc 2018 thesis
10 months ago
Crea un modelo de propagación de una epidemia en una población constante. Acople de Bucles Universidad del Cauca.  Profesor: Miguel Angel Niño Zambrano  curso:  Enlace Curso en Moodle   Videos ejemplos:  Enlace a la lista de videos del curso youtube
Crea un modelo de propagación de una epidemia en una población constante. Acople de Bucles
Universidad del Cauca. 
Profesor: Miguel Angel Niño Zambrano
 Grimm's ODD and Nate Osgood's ABM Modeling Process and  Courses  See also Pattern Oriented Modelling  IM-3834

Grimm's ODD and Nate Osgood's ABM Modeling Process and Courses See also Pattern Oriented Modelling IM-3834

6 6 days ago
 Perceptual Control Theory Model of Balancing an Inverted Pendulum. See  Kennaway's slides  on Robotics. as well as PCT example WIP notes. Compare with  IM-1831  from Z209 from Hartmut Bossel's System Zoo 1 p112-118

Perceptual Control Theory Model of Balancing an Inverted Pendulum. See Kennaway's slides on Robotics. as well as PCT example WIP notes. Compare with IM-1831 from Z209 from Hartmut Bossel's System Zoo 1 p112-118

The critical potential leverage points for the future of dynamic education and the learning experience.
The critical potential leverage points for the future of dynamic education and the learning experience.
    Dynamic simulation modelers are particularly interested in understanding and being able to distinguish between the behavior of stocks and flows that result from internal interactions and those that result from external forces acting on a system.  For some time modelers have been particularly int

Dynamic simulation modelers are particularly interested in understanding and being able to distinguish between the behavior of stocks and flows that result from internal interactions and those that result from external forces acting on a system.  For some time modelers have been particularly interested in internal interactions that result in stable oscillations in the absence of any external forces acting on a system.  The model in this last scenario was independently developed by Alfred Lotka (1924) and Vito Volterra (1926).  Lotka was interested in understanding internal dynamics that might explain oscillations in moth and butterfly populations and the parasitoids that attack them.  Volterra was interested in explaining an increase in coastal populations of predatory fish and a decrease in their prey that was observed during World War I when human fishing pressures on the predator species declined.  Both discovered that a relatively simple model is capable of producing the cyclical behaviors they observed.  Since that time, several researchers have been able to reproduce the modeling dynamics in simple experimental systems consisting of only predators and prey.  It is now generally recognized that the model world that Lotka and Volterra produced is too simple to explain the complexity of most and predator-prey dynamics in nature.  And yet, the model significantly advanced our understanding of the critical role of feedback in predator-prey interactions and in feeding relationships that result in community dynamics.The Lotka–Volterra model makes a number of assumptions about the environment and evolution of the predator and prey populations:

1. The prey population finds ample food at all times.
2. The food supply of the predator population depends entirely on the size of the prey population.
3. The rate of change of population is proportional to its size.
4. During the process, the environment does not change in favour of one species and genetic adaptation is inconsequential.
5. Predators have limitless appetite.
As differential equations are used, the solution is deterministic and continuous. This, in turn, implies that the generations of both the predator and prey are continually overlapping.[23]

Prey
When multiplied out, the prey equation becomes
dx/dtαx - βxy
 The prey are assumed to have an unlimited food supply, and to reproduce exponentially unless subject to predation; this exponential growth is represented in the equation above by the term αx. The rate of predation upon the prey is assumed to be proportional to the rate at which the predators and the prey meet; this is represented above by βxy. If either x or y is zero then there can be no predation.

With these two terms the equation above can be interpreted as: the change in the prey's numbers is given by its own growth minus the rate at which it is preyed upon.

Predators

The predator equation becomes

dy/dt =  - 

In this equation, {\displaystyle \displaystyle \delta xy} represents the growth of the predator population. (Note the similarity to the predation rate; however, a different constant is used as the rate at which the predator population grows is not necessarily equal to the rate at which it consumes the prey). {\displaystyle \displaystyle \gamma y} represents the loss rate of the predators due to either natural death or emigration; it leads to an exponential decay in the absence of prey.

Hence the equation expresses the change in the predator population as growth fueled by the food supply, minus natural death.


How education causes the gap between socio-economic status?
How education causes the gap between socio-economic status?
  object is projected with an initial velocity u at an angle to the horizontal direction.  We assume that there is no air resistance .Also since the body first goes up and then comes down after reaching the highest point , we will use the Cartesian convention for signs of different physical quantiti

object is projected with an initial velocity u at an angle to the horizontal direction.

We assume that there is no air resistance .Also since the body first goes up and then comes down after reaching the highest point , we will use the Cartesian convention for signs of different physical quantities. The acceleration due to gravity 'g' will be negative as it acts downwards.

h=v_ox*t-g*t^2/2

l=v_oy*t
           This version of the   CAPABILITY DEMONSTRATION   model has been further calibrated (additional calibration phases will occur as better standardized data becomes available).  Note that the net causal interactions have been effectively captured in a very scoped and/or simplified format.  Re
This version of the CAPABILITY DEMONSTRATION model has been further calibrated (additional calibration phases will occur as better standardized data becomes available).  Note that the net causal interactions have been effectively captured in a very scoped and/or simplified format.  Relative magnitudes and durations of impact remain in need of further data & adjustment (calibration). In the interests of maintaining steady progress and respecting budget & time constraints, significant simplifying assumptions have been made: assumptions that mitigate both completeness & accuracy of the outputs.  This model meets the criteria for a Capability demonstration model, but should not be taken as complete or realistic in terms of specific magnitudes of effect or sufficient build out of causal dynamics.  Rather, the model demonstrates the interplay of a minimum set of causal forces on a net student progress construct -- as informed and extrapolated from the non-causal research literature.
Provided further interest and funding, this  basic capability model may further de-abstracted and built out to: higher provenance levels -- coupled with increased factorization, rigorous causal inclusion and improved parameterization.
Шөнийн цагт төрөлт бага, үхэл их байхаар LookUp оруулж өгсөн тоо толгойн загвар юм.
Шөнийн цагт төрөлт бага, үхэл их байхаар LookUp оруулж өгсөн тоо толгойн загвар юм.
my first simulation for application in early childhood classroom management of behaviour
my first simulation for application in early childhood classroom management of behaviour
Management of ​fast and slow dynamics of terrorism influence to students mobility.
Management of ​fast and slow dynamics of terrorism influence to students mobility.