Feedback Why is it that a higher level of system organization is more stable? Definition of a system: keyword interact If one part has an effect on the.

Slides:



Advertisements
Similar presentations
ALED 342/ALEC 609 INFO 4/09 LEARNING COMM REFLECTION DUE 4/21 APP 4 DUE 4/21 LEADER E EVAL DUE EXAM #2 –Add Part 1 points + Part 2 points + Part 3 points.
Advertisements

Healthy Ecosystem A healthy ecosystem is composed of:
Causal Loop Diagrams Esmaeil Khedmati Morasae Center for Community-Based Participatory Research in Health Tehran University of Medical Sciences January.
Causal Loop Diagram Relationship Modeling Introduction.
System Dynamics 1. What is System Dynamics  Computer simulation modeling for studying and managing complex feedback systems, such as business and other.
Action Logic Modelling Logic Models communicate a vision for an intervention as a solution to a public health nutrition (PHN) problem to:  funding agencies,
The Care and Feeding of Work Teams COS 4880 Bruce Barnard.
Major: System Dynamics
Applying Systems Theory to Organizations and Families CSD 5970 Bruce Barnard.
IE673Session 3 - System Thinking1 An Introduction to System Thinking.
Lecture 9: Compensator Design in Frequency Domain.
Public Policy Modeling Causal Loop Diagrams Friday, April 21, 2017
Welcome! Pick up your journal from the table. Pick up Chapter 3 reading questions (next to journals) Place timeline on table next to journals. Check on.
1 Rockefeller College of Public Affairs and Policy University at Albany Tools for Systems Thinking and Modeling Dynamics: Graphs over time Structure:Causal-loop.
Lecture 5 Bsc 417/517. Outline More pointers on models in STELLA Behavior patterns Linear models Exponential models.
Feedback Why is it that a higher level of system organization is more stable? Definition of a system: keyword interact If one part has an effect on the.
Simple positive feedback Example: Bank balance Interest Payments = Bank Balance * Interest Rate Positive feedback = the stock will continue to increase.
Feedback Loops.
Structure and Behavior of Dynamic Systems
Workshop Training May 24, Human systems are complex. Complex systems are non-linear, dynamic, and interconnected.
5.1 Exponential Functions
The Oersted Experiment
MODULE 20 (56) Savings, Investment Spending, and the Financial System
Bell Ringer What value(s) of x make the sentence true? 7 + x = 12
Dependent-Samples t-Test
3.2.1 – Solving Systems by Combinations
3 Aspects of Systems Thinking:
The Care and Feeding of Work Teams
Introduction to control system
Causal Loop Diagrams Design and Applications Jeff Wasbes
Cycles of the Earth & Biogeochemical Cycles
Learning and Perception
Automatic Control Theory CSE 322
Unit 2 Lesson 3 Models and Simulations
Equilibrium, Positive and Negative Feedback
Chapter 3: Elementary Applications
Feedback Control System
Unit 1. First Impressions
Variables, Algebraic Expressions, and Simple Equations
Skill Learning Principles
38 > 22. Do Now Solve the inequality and come up with a real world scenario that fits the solution.
U3: Force Newton’s 1st and 2nd Laws.
The Aggregate Expenditures Model The beginning of the study of Macroeconomic Models and Fiscal Policy Please listen to the audio as you work through.
Theory 3: Symbolic Interactionism
Skill Learning Principles
Telling Visual Stories from Data
Public Policy Modeling Systems Thinking: Causal Loop Diagrams Friday, November 23, 2018 Hun Myoung Park, Ph.D. Public Management & Policy Analysis Program.
Advanced Topics Nuclear Physics ElementaryParticles General Relativity
GROWTH factor Exponential Growth An exponential function, ,
Foundations of Physical Science
CASE FAIR OSTER MACROECONOMICS P R I N C I P L E S O F
vms x Year 8 Mathematics Equations
Environmental Systems
7.1.3 Subtracting Integers.
Introduction to Ecosystem Ecology
2-5 What Are Systems and How Do They Respond to Change?
Biology & The Characteristics of Life
Advancements in Glucose Monitoring
Environmental Systems
Energy and Environmmental Problem Solving
Populations C-5-1.
Applying the Paradigms
Section 3 – pg 234 Controlling Chemical Reactions
CAP4800/5805 Systems Simulation
Zimbabwe 2008 Critical Thinking.
Bio I – Unit 5 Review.
Putting all the Graphs Together
Simplify Algebraic Expressions
Feedback Loop Diagrams Different Diagrams for Different Purposes
Modeling the Effects of Disasters on a Human Population and Resources
Presentation transcript:

Feedback Why is it that a higher level of system organization is more stable? Definition of a system: keyword interact If one part has an effect on the rest of the system and the system has an effect on that one part , then a ‘circular’ relationship or ‘loop’ has been created. Example: you and a bicycle (two part system) combined, do more than single parts actions influence parts simple system which creates stability riding a bicycle ‘constant adjustments to correct errors’

Feedback example

Feedback A feedback loop exists when decisions change the state of the system, changing the conditions and information that influence future decisions.

Feedback example

Feedback Positive loops Symbolized by Negative loops Symbolized by self-reinforcing growth producing destabilizing accelerating even number of –’s Symbolized by Negative loops counteracting goal seeking stabilizing balancing odd number of –’s Symbolized by

Negative feedback Negative feedback is universal and makes all sorts of different systems behave in certain, similar ways. Things in common: Active systems - self stabilizing systems make an active response to change. Applies to living systems - population, object systems - bicycle, as well as social systems - economy. System limitations - limit to amount of change which active system can deal with Loose system - negative feedback does not prevent change, it responds to change.

Examples of negative feedback loops

Examples of negative feedback loops

Exponential decay (workers.mdl)

Negative feedback Reaction time - every negative feedback loop has time limits which affect its behavior. minimum amount of time necessary for one complete circuit around the loop. target

Negative feedback

Negative feedback Counter-intuitive systems - negative feedback often produces counterintuitive behavior. For example, killing the wolf is not good for the deer. Also, killing off pests on the farm kills the predators too, (pests breed faster so the next generation will arrive and there will be no predators to control them). The ‘obvious’ solution does not work because the negative feedback is set up to cancel direct interventions. For negative feedback systems it is much better to change the way the pieces interact than to try to ‘out-muscle’ the system. The first step is always to figure out what the system is and how it works.

Negative feedback Hidden systems - all feedback loops are seldom out in plain sight

Positive feedback Most change comes from different (positive) feedback process Change in one part of the system produces changes in the whole system which then “feeds back” and affects the original part ( amplification of change )

Examples of positive feedback loops

Exponential growth (money.mdl)

Feedback

Putting pieces together We started by finding out what the systems are made of, and studied the pieces individually. Gradually, we learned that it was just as important to study how these pieces were organized (still thinking that the organization of any kind of system is unique). Finally we have began to realize that all complex systems have many things in common, in the way they are organized. Every complex system is built out of the same two simple elements: positive and negative feedback loops ( basic building blocks ).

Putting pieces together When positive and negative loops combine, any behavior is possible! Basic Types: Exponential Growth Exponential Decay S-Shaped Growth Oscillation Combined Behaviors S-Shaped Growth with Overshoot Overshoot and Collapse

Putting pieces together

Putting pieces together Identifying the positive and negative loops is very important in order to distinguish between things which are going to affect the system temporarily or permanently. Any change which does not change the important positive and negative loops will be temporary. Any change that affects the relationship between the positive and the negative loop will have long term impact on the system.

What have we learned?

Causal loops For each link, determine the effect of an increase in the variable at the tail of the arrow: If the variable at the head increases, assign a plus. If the variable at the head decreases, assign a minus. For each loop, count the number of negative signs: An even number of negative links is a reinforcing (R) loop. An odd number of negative links is a balancing (B) loop. Most important: For each loop, tell a self-reinforcing or balancing/counteracting story, and check that the story matches the loop polarity.

Causal loops Handout 1 (a) Population and economic growth loop (b) Population and land-use loop

Causal loops (a) Sentence 1

Causal loops (a) Sentences 2 and 3

Causal loops (a) Sentence 4

Causal loops (a) Sentences 5 and 6

Causal loops (b) Sentence 1

Causal loops (b) Sentence 2

Causal loops (b) Sentences 4 and 5

Causal loops (a + b) Combined