System thinking - Engineering for Society

0.0(0)
Studied by 0 people
call kaiCall Kai
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/95

flashcard set

Earn XP

Description and Tags

Everything should be in there lol

Last updated 4:31 PM on 6/13/26
Name
Mastery
Learn
Test
Matching
Spaced
Call with Kai

No analytics yet

Send a link to your students to track their progress

96 Terms

1
New cards

A system (Anderson & Johnson)

a group of interacting, interrelated, or interdependent components that form a complex and unified whole.

2
New cards

A system (Kim)

any group of interacting, interrelated, or interdependent parts that form a complex and unified whole that has a specific purpose

3
New cards

A system (Meadows)

An interconnected set of elements that is coherently organized in a way that achieves something consisting of three kinds of things: elements, interconnections, and a function or purpose.

4
New cards

A social system (Parsons)

a plurality of individual actors interacting with each other in a situation which has at least a physical or environmental aspect, actors who are motivated in terms of a tendency to the “optimization of gratification” and whose relation to their situations, including each other, is defined and mediated in terms of a system of culturally structured and shared symbols.

5
New cards

structure

the overall pattern of relationships among a system’s components, the way they are organized and connected

6
New cards

Patterns 

recurring trends

7
New cards

System pyramid

Events (top)

Patterns

Structure (bottom)

8
New cards

in a nonlinear system...

twice the push could produce one-sixth the response

9
New cards

Reductionism

the process of breaking down or reducing systems to their constituent parts and then describing the whole system primarily as merely the sum of these constituent elements.

10
New cards

Analysis approach

Top down approach on a system

11
New cards

Synthesis approach

Bottoms up approach on a system

12
New cards

Synthesis

the combination of components or elements to form a connected whole

13
New cards

Epistemology

the theory of knowledge and seeks to understand one or another kind of cognitive success or when knowledge is good to pursue.

14
New cards

The equivalence assumption

the effect is always equal to the cause, both quantitatively and qualitatively

15
New cards

The continuity assumption

the idea that a process or relationship is stable, or changes smoothly over time or across situations, without sudden, unpredictable jumps or breaks

16
New cards

The mechanistic presupposition

Organismic processes are interpreted in terms of the interlocking of the parts of a machine

17
New cards

The elementaristic presupposition

A complex system can be analysed by breaking it down into its elements and examining the functioning of these elements. The function of the whole system is then explained by the composition of the detailed processes in the elements.

18
New cards

The realist notion

That the physical world surrounding us is actually as it looks to us.

19
New cards

Systems Thinking Tools

Are used to understand and communicate the behaviour of dynamic systems.

20
New cards

Cause-and-Effect Focus

Illustrate relationships between system elements and how changes in one part of the system affect others.

21
New cards

Feedback Loops

Help identify feedback loops (reinforcing and balancing), which are critical for understanding system behaviour over time.

22
New cards

Purpose Causal Loop Diagram (CLD)

To visualize feedback and causal relationships

23
New cards

Support Modelling

are often part of the model-building process in system dynamics and serve as conceptual precursors to simulation models.

24
New cards

Focus Causal Loop Diagram (CLD)

Emphasizes qualitative feedback structure

25
New cards

Elements Causal Loop Diagram (CLD)

Variables (concepts), arrows, polarity (+/-), loops

26
New cards

Representation Causal Loop Diagram (CLD)

No distinction between stocks and flows

27
New cards

Time Behaviour Causal Loop Diagram (CLD)

Shows relationships, but not how variables accumulate over time

28
New cards

Quantifiability Causal Loop Diagram (CLD)

Typically not quantitative, used for thinking, not simulating

29
New cards

Usage Example Causal Loop Diagram (CLD)

Understanding why burnout is increasing in a team (e.g., “Stress → Productivity → Mistakes → Stress”)

30
New cards

Purpose Stock and Flow Diagram (SFD)

To model the accumulation and flow of quantities over time

31
New cards

Focus Stock and Flow Diagram (SFD)

Emphasizes quantitative dynamics (levels, rates, equations)

32
New cards

Elements Stock and Flow Diagram (SFD)

Stocks, flows, valves, and auxiliaries

33
New cards

Representation Stock and Flow Diagram (SFD)

Explicit distinction between stocks (levels) and flows (rates of change)

34
New cards

Time Behaviour Stock and Flow Diagram (SFD)

Tracks how quantities change over time through inflows and outflows

35
New cards

Quantifiability Stock and Flow Diagram (SFD)

Designed for simulation, requires numerical inputs

36
New cards

Usage Example Stock and Flow Diagram (SFD)

Modelling how inventory changes with shipments and deliveries

37
New cards

Stocks

the elements of the system that you can see, feel, count, or measure at any given time.

38
New cards

Flows

the inputs and outputs per time unit that increase or decrease stocks.

39
New cards

Feedback

the effect that a change in one part of an ecosystem or social system has on the very same part after passing through a chain of effects in other parts of the system.

40
New cards

Inflow

The information that flows into a Stock and flow diagram

41
New cards

Outflow

The information that flows out of a Stock and flow diagram

42
New cards

Balancing feedback provides…

stability through a circular chain of effects that opposes change. It keeps things the same.

43
New cards

Reinforcing feedback can create…

drastic change, like exponential growth which can result in a downfall.

44
New cards

Causal loop diagrams (CLDs)

tools for representing and exploring the feedback structures in systems.

45
New cards

Causal loop diagrams (CLDs) process are…

iterative

46
New cards

Benefit Causal loop diagrams (CLDs)

it helps us to come to a holistic understanding of real-world systems by broadening our perspective and emphasizing the role feedback has in dictating the behaviour of non-linear, dynamic, complex systems

47
New cards

A good Causal loop diagrams (CLDs)…

accounts for complexity and non-linearity within real-world systems while also teaching us about problem and solution spaces.

48
New cards

Elements

The individual parts that make up a system.

49
New cards

Interconnections

The relationships and interactions between elements in a system.

50
New cards

Function / Purpose

The goal or outcome the system is organized to achieve.

51
New cards

Holism

The view that a system should be understood as a whole rather than merely as a collection of parts.

52
New cards

Linear causation

A cause-and-effect relationship in which effects are proportional and directly linked to causes.

53
New cards

Non-linear causation

A cause-and-effect relationship in which small causes can produce large effects and vice versa.

54
New cards

Five Characteristics of Systems

A system’s parts must be present, arranged in a specific way, serve a purpose within a larger system, maintain stability through adjustments, and rely on feedback.

55
New cards

Presence of Parts

All parts must be present for a system to function optimally.

56
New cards

Arrangement of Parts

Parts must be organized in a specific way.

57
New cards

Purpose within Larger Systems

Systems exist to fulfil purposes within larger systems.

58
New cards

Stability through Adjustments

Systems maintain stability through fluctuations and adaptations.

59
New cards

Reliance on Feedback

Systems depend on feedback to regulate behavior.

60
New cards

Variable (CLD)

A factor that can change within a system and is represented in a causal loop diagram.

61
New cards

Polarity (+)

A causal relationship where variables change in the same direction.

62
New cards

Polarity (-)

A causal relationship where variables change in opposite directions.

63
New cards

Reinforcing Loop (R)

A feedback loop that amplifies change.

64
New cards

Balancing Loop (B)

A feedback loop that counteracts change and promotes stability.

65
New cards

Stock Memory Principle

A stock is the present memory of the history of changing flows within a system.

66
New cards

Bifurcation

A point at which a small change causes a system to shift into a different state or behaviour.

67
New cards

Phases

Distinct states or modes in which a system can exist.

68
New cards

Self-interaction

A process in which parts of a system indirectly influence themselves through feedback mechanisms.

69
New cards

Constructivist notion

The idea that reality is interpreted and constructed through human perception and understanding.

70
New cards

System Thinking Paradigm

An approach that focuses on understanding systems as wholes, emphasizing relationships, feedback, and non-linear causation.

71
New cards

Classical (Realist) Model

A view of knowledge based on equivalence, continuity, mechanistic explanations, and a realist understanding of the world.

72
New cards

Systems Thinking Model

A view emphasizing bifurcations, phases, self-interaction, and a constructivist understanding of reality.

73
New cards

Systems Engineering

A methodical, multidisciplinary approach to the design, realization, technical management, operation, and retirement of a system.

74
New cards

Building the system right

Meeting the technical requirements correctly.

75
New cards

Building the right system

Delivering the intended operational outcomes and stakeholder value.

76
New cards

System boundary

The line between what is included in the system and what belongs to the environment.

77
New cards

Environment

Everything outside the system that can influence the system.

78
New cards

System vs collection

A system has interacting parts and a purpose; a collection is just a group of things without meaningful interconnections or shared function.

79
New cards

Purpose is deduced from behaviour

A system’s real purpose is shown by what it does, not by what people say it should do.

80
New cards

Additivity principle

In linear systems, the total response to multiple inputs equals the sum of the separate responses.

81
New cards

Homogeneity principle

In linear systems, output is proportional to input.

82
New cards

Emergence

New properties or behaviours arise from interactions between parts and cannot be explained by the parts alone.

83
New cards

Exponential growth

Growth where the increase becomes faster over time, often caused by reinforcing feedback.

84
New cards

Rule of 70

A shortcut for estimating doubling time: 70 divided by the growth percentage.

85
New cards

Paradigm

A worldview that shapes how research is done and how the world is understood.

86
New cards

Mereology

The theory of part-whole relationships.

87
New cards

Source

A stock outside the system boundary from which an inflow comes.

88
New cards

Sink

A stock outside the system boundary to which an outflow goes.

89
New cards

Valve

A control point that regulates the rate of a flow.

90
New cards

Homeostasis

Stability maintained through balancing feedback, such as body temperature regulation.

91
New cards

Delay

A time gap between cause and effect in a system or causal loop.

92
New cards

Mental model

A person’s internal understanding of how a system works.

93
New cards

Narrative in CLD

A coherent story that explains the causal relationships shown in a causal loop diagram.

94
New cards

Unintended side effects

Effects of actions that were not expected because the larger system was not fully considered.

95
New cards

Success trap

A situation where a previously successful strategy becomes harmful when the system changes.

96
New cards

No silver bullet

The idea that complex system problems usually cannot be solved by one single intervention.