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Systems - Coggle Diagram
Systems
system paradigm
Paradigm Blindness
Characteristics
That's not the way we do it
That's Impossible
Not Gonna Work
Old Paradigm Dominates
Paradigm Shift
Radical Change In
Thought Pattern In
Organizations
Complex Systems
Personal Beliefs
View Must Change
New Expectations
New Assumptions
Question Everything
Set of Rules
New Anomalies
Creates New Paradigms
3 Stages of Truth
Self Evident
Opposed
Ridicule
Model
or Ideas
Form a World View
How do We Know?
How do we prove it
What Causes What
What's the Nature of Being
Relational Paradigm
Balance Between
Parts
Relations
Defined By
Connectivity
Unifications
More Connections
More Integration
Exchange
Interdependence
Inputs
Boundaries
Processes / Functions
Outputs
Whole Vs. Parts
systems theory
Synthesis
Versus
Analysis
Holism and Reductionism
Must Balance
Objective
And Subjective
Nonlinear Causality
Non Linear
Versus
Linear
Relational Paradigm
Interdependence
Connectivity
Integration
Context
Process Thinking
Differentiation
Integration
Macro Level Systems
System Architypes
Macro Feed Back Loops
Evolution Process
Emergence
Process Philosophy
Being is Dynamic
Ever Changing
Model
System Dynamics
System Constraints
System Conditions
Clarify Principles
Purpose
Measure
Recognized and Applied
To Other Systems
To Achieve Optimal Equifinality
Methods
Tools
Characteristics
Adaptive
Dynamic
Self-Organizing
Resilient
Evolutionary
Goal-Seeking
Self-Preserving
systems thinking
Part Relationships
To The Whole
Integrity
Defines Autonomy
Awareness
Cognitive of Biases
How we See things
Subjective Form
What Paradigm Is Being Used
How do we see the world
Invalid
Valid
Process of Reasoning
Create The Problems We See
Tools
Assumptions
Abstraction
Preconceptions
Rational
Irrational
Metacognition
Tells Why
Adaptation
Holistic
Synthesis
Relationships
Parts
The Whole
Downward Causation
Upward Causation
Process Oriented
Non Linear
Causality
Synergistic Cause and Effect
Emergence
Multi Dimensionality
How many factors interact
Create an outcome
That feeds back to the Effect
Synergies
Process of Becoming
Analysis Where
Change is not Constant
Process Oriented
Integration
Feedback
Self Perpetuating
Self Re-enforcing
Butterfly Effect
Unproportionality
Causing Evolution
Differentiation
Enables
Integration
Requires Levels of Abstraction
To Accommodate
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Constrains
And Enables
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=Evolution
Divide
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Create System Architypes
Patterns of Processes
Micro and Macro Relationship
Future and Past Relationship
Indeterminism
Key Points
System Structure
How the System Shapes the Parts
Not How the Part Shapes the System
Source of System Behavior
Series of Events Over Time
More Than The Sum of Its Parts
Interconnections Operate Through
Flow of Information
Shared Purpose
Consist of
Elements
Relations
Ordered
Global System
Unordered
Complex System
Many Parts
Non-Linear
Connectivity
Adaptation
Autonomy
Self Organization
Chaotic
Abstraction
Communicate
Through Models
Simplification
Remove Detail
Encapsulation
Model System Design
Model Must
Capture Perspectives
Match Empirical Data
Past Observation
Predict Future
Balance
Simplicity
Breadth of Scope
Reification
Facts
Specifications
Enstantiations
Blue Print
Specialization
Through Differentiation
Limitations
Weapons of Math Destruction
Lack of Perspectives
Blind us to Obvious Information
Remove Senses
Works In Perfect World
Be Explicit on Model Limitations
Can Be Found
In Nature
In Science
In Economics
In Society
Types of Systems
Closed System
No Exchange of Information and Matter
Isolated
No Exchange of Elements
Open Systems
Exchanges of
Energy
With External Environment
Matter
Information
People
Maintain Identity and Existence
Homeostasis
Maintaining Stability
Between Internal and the External Environment
Self Regulation
Adaptive Mechanism
To Maintain A Balanced Condition
Equilibrium / Balance
Ability To Provide Contribution
To Supra Systems
Autopoiesis
Self Organizing
That Allows Alignment Between
Internal Complexity and The Complex Environment
Equifinality
Reaching The Same End State
Regardless of Starting Condition or Path
Common Finality
Set of Parts
Interacting With Each Other
To Reach the Same Final Goal
Linear Thinking Is
Analytical Paradigm
Objective
Paradigm
Newtonian Paradigm
Reductionism
Break Systems Down
To Understand the Whole
Epiphenomena
Upward Causation
Analysis
Tells How But Not Why
More Traditional Paradigm
Ignore Lesser Impacting Variables
Linear Thinking
Cause Effect
Correspondence
Independent and Dependent Variable Relationship
Time Precedence
Cause Must Occur before the Effect
Non-Spuriousness
False Association
False Correlation
No Feed Back
Determinism
Axiom of Causality
Limited number of Causes for Each Effect
Everything has a Cause
Exam Major Variables
Component Based
Isolation Analysis
Static Properties
Mono Dimensional
Inductive Inference
Generalization