Complexity Thinking

System ThinkingComplexityProblem Solving

Complexity Thinking explores interconnected and dynamic systems to understand how they evolve and adapt.

Introduction

Complexity Thinking explores interconnected and dynamic systems to understand how they evolve and adapt.

Core Principles

  1. Emergence: Observing how patterns arise from interactions.
  2. Adaptability: Understanding how systems respond to changes.
  3. Nonlinearity: Recognizing that small changes can have large effects.

Applications

  • Healthcare for patient care pathways.
  • Economics for market dynamics.

Related Resources

  • Tools: System mapping tools like Kumu.
  • Case Study: Applying complexity thinking to urban planning.

Related Topics

Mental Models Related

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Combined Terms

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Professional Applications

  • business mental models
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