NetLogo User Community Models
The Socio-Natural Model
by Kailin Hatlestad (Submitted: 01/28/2018)
## WHAT IS IT?
The purpose of the Socio-Natural model is to test which social behaviors
## HOW IT WORKS
The Socio-Natural model is made up of two breeds of agents who interact
The individuals of different breeds possess different land-use, common benefit, and
The differing elements of the B-person breed include: (1) unequitable distribution of wealth and resources altering levels of benefit (2) sedentariness and sharp shifts in population (3) skewed resource dependence that effects biodiversity.
At every iteration all individuals (1) move, (2) harvest, (3) share, (4) randomly reproduce based on number of possible offspring, (5) age, and (6) randomly die. The world (7) regrows grass at a fixed amount every iteration.
## HOW TO USE IT
On the left, adjust the sliders to change initial population levels of each breed, to determne how much resource each inidividual of a breed can share, and to decide reproduction rates.
On the right, monitor the population levels of each breed, resource levels in the world, and the distribution of resources.
## THINGS TO NOTICE
The socio-natural model is interested in certain response variables. These include: (1) How long a population sustains before collapse, if collapse occurs, (2) how stable
## THINGS TO TRY
Move sliders to alter how much breeds share, reproduce or to see how initial population effects outcomes.
How long do populations last when they are not competeing against one another?
## EXTENDING THE MODEL
Advance any of these these settings by altering the code with simple or complex changes.
This socio-natural model is currently a closed system which if opened to simulate immigration, has potential to reveal more interesting resilient behavior relational patterns. Additionally, more diverse resources along with diverse use of those resources would enhance the program. Moreover, introducing a level of diversity and modifying to an open system would produce dynamic resource growth rates, advanced migratory and movement patterns and allow for more socio-natural perturbations to be tested.
Another avenue to achieve higher variance in social complexity use of NetLogo’s Hubnet. Hubnet is participatory simulation offering that allows models to run by its programmed rules as well as by human participation.
The socio-natural model can also be advanced with innovation coding. This can be achieved by either equipping agents with coping mechanisms in the programming stage or including a genetic algorithm in which agents learn.
Future simulations with this modification have the potential to illuminate much about resilient behavior adoption and sustainable development education.
## RELATED MODELS
This model incorporates features from other netlogo models: diffusion on a directed network, cooperation, feeding, and wolf/sheep predation.
## CREDITS AND REFERENCES
Axtell, Robert L., Joshua M. Epstein, Jeffrey S. Dean, George J. Gumerman, Alan C. Swedlund, Jason Harburger, Shubha Chakravarty, Ross Hammond, Jon Parker, and Miles Parker
Dean, Jeffrey S., George J. Gumerman, Joshua M. Epstein, Robert L. Axtell, Alan C. Swedlund, Miles T. Parker, and Stephen McCarroll
Epstein, Joshua M.
1997 Artificial societies and generative social science. Artificial Life and Robotics 1(1): 33–34.
1999 Agent-based computational models and generative social science. Generative Social
2006 Generative social science: Studies in agent-based computational modeling. Princeton
2008 Why model? Journal of Artificial Societies and Social Simulation 11(4): 12.
Gilbert, Nigel, and Klaus G. Troitzsch
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Wilensky, Uri, and William Rand
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Wilensky, U. (1998). NetLogo Wealth Distribution model. http://ccl.northwestern.edu/netlogo/models/WealthDistribution. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.
Li, J. and Wilensky, U. (2009). NetLogo Sugarscape 3 Wealth Distribution model. http://ccl.northwestern.edu/netlogo/models/Sugarscape3WealthDistribution. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL
Wilensky, U. (1999). NetLogo. http://ccl.northwestern.edu/netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.
Wilensky, U. (2005). NetLogo Wolf Sheep Predation (System Dynamics) model. http://ccl.northwestern.edu/netlogo/models/WolfSheepPredation(SystemDynamics). Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.
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