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System Feedback Loops
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System Feedback Loops
The feedback loop is the system structure, which causes the output from a single node ultimately influence the input to that node. This system has been described to solve extremely complex situations or issues in companies or even small businesses. It might look simple as well as obvious when one uses the feedback loop and draws the model that actually assist in solving the problem. Only few world problems are easy in the real sense (Knight & White, 2009). For instance, Dueling Loops of Political Power place model contains 43 variables, almost 5 additional loops, 3 main loops and 4 stocks. This is a simplification of extremely large model, which entail 123 variables, countless loops and 11 stocks. Its construction took several years for single person. Able to understand the behavior of the difficult multifaceted social system problems adequately to even initiate hypothesize the realistic solution, entailing a high profitability of executing the initial time, is almost unattainable without adequate understanding of the feedback loops concerned (Knight & White, 2009).
How feedback loop is used in solving complex problems
In the complex systems, the problem symptoms arise from factors generated by the system’s key feedback loops. The creation of these loops requires appropriate understanding to allow problem solving. There exists two principle tools to perform this task and they include simulation modeling and causal loop diagrams. The simulation modeling uses the software to illustrate the feedback loops, which cause the problem (Gatto, 2009). This forms the simulation model of problem. Running model forms the graphical output of the way system with problem acts overtime. However, in our case we are going to focus on the casual loop diagramming, which is much easier and simpler method to learn. Initiating with learning how to draw the casual loop diagrams is the
Name:
Institution:
Date:
System Feedback Loops
The feedback loop is the system structure, which causes the output from a single node ultimately influence the input to that node. This system has been described to solve extremely complex situations or issues in companies or even small businesses. It might look simple as well as obvious when one uses the feedback loop and draws the model that actually assist in solving the problem. Only few world problems are easy in the real sense (Knight & White, 2009). For instance, Dueling Loops of Political Power place model contains 43 variables, almost 5 additional loops, 3 main loops and 4 stocks. This is a simplification of extremely large model, which entail 123 variables, countless loops and 11 stocks. Its construction took several years for single person. Able to understand the behavior of the difficult multifaceted social system problems adequately to even initiate hypothesize the realistic solution, entailing a high profitability of executing the initial time, is almost unattainable without adequate understanding of the feedback loops concerned (Knight & White, 2009).
How feedback loop is used in solving complex problems
In the complex systems, the problem symptoms arise from factors generated by the system’s key feedback loops. The creation of these loops requires appropriate understanding to allow problem solving. There exists two principle tools to perform this task and they include simulation modeling and causal loop diagrams. The simulation modeling uses the software to illustrate the feedback loops, which cause the problem (Gatto, 2009). This forms the simulation model of problem. Running model forms the graphical output of the way system with problem acts overtime. However, in our case we are going to focus on the casual loop diagramming, which is much easier and simpler method to learn. Initiating with learning how to draw the casual loop diagrams is the
References: Knight, R. L., & White, J. C. (2009). Conservation for a new generation: Redefining natural resources management. Washington, DC: Island Press Gatto, J. T. (2009). Weapons of mass instruction: A schoolteacher 's journey through the dark world of compulsory schooling. Philadelphia, Pa: New Society. Cawley, J. H. (2011). The Oxford handbook of the social science of obesity. New York: Oxford University Press. Ledwith, M., & Springett, J. (2010). Participatory practice: Community-based action for transformative change. Bristol, UK: Policy Press.