∆ Frame WIki
  • Introduction
    • What is ∆ Frame?
    • Philosophy
    • Introductory Concepts
    • 12 Steps to a ∆ Frame Perspective
  • Library
    • Lexicon
    • Patterns
      • Flow Pattern (Universal Dynamics of Change)
      • Cycle Pattern (Recurrent Processes)
      • Cascade Pattern (Sequential Trigger Events)
      • Threshold Pattern (Critical Points and Phase Transitions)
      • Synchronization Pattern (Cooperative Timing and Rhythm)
      • Ripple Pattern (Propagation and Influence)
      • Noise Pattern (Indeterminate Variability and Influence)
      • Web Pattern (Interconnectivity and Networked Influence)
      • Spiral Pattern (Dynamic Progression and Evolution)
      • Emergence Pattern (Rise of Novel Properties)
    • Complications
      • Psychology of Change
      • Conflict Resolution
      • Measuring Change
      • Relativity of Change
      • Change Requires Energy
      • Complexity of Change
      • Speed of Change
    • Ethics of ∆
  • SPIRAL
    • SPIRAL Iterative Progression Framework
    • SPIRAL Guide
    • SPIRAL Deep Dive
      • S: Set Direction and Goals
      • P: Poll your Environment
      • I: Identify Patterns
      • R: Realize Leverage Points
      • A: Act Ethically and Accountably
      • L: Learn and Loop
    • Learning Resources
      • Pattern Cheat Sheet
      • Spot the Patterns
      • How to Spot Leverage Points
      • Spot the Leverage Point
    • Examples
      • Example: Time-Critical
      • Example: Inner-Development
      • Example: Micro
      • Example: Meso
      • Example: Macro
  • FFNs
    • Flexible Fractal Networks
  • The Helix Model
    • The Helix Model
      • Operating Principles
      • Recommended Events
      • Circle Team Structure
      • Compensation Philosophy
      • Decision Making
      • Conflict Resolution
      • Metrics
    • Transition Guides
      • From Traditional Hierarchy
      • From Agile
      • From nothing
      • From Holacracy
      • From Sociocracy
      • From Flat Structures
    • When to Use
    • The Hierarchy Helix
    • Examples
      • Example: Micro
      • Example: Meso
      • Example: Macro
  • Development
    • How ∆ Frame was Designed
    • Who Designed ∆ Frame
    • Future of ∆ Frame
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On this page
  • Change (∆)
  • System
  • Equilibrium
  • Pattern
  • Complexity
  • Feedback
  • Emergence
  • Scale
  • Resilience
  • Connectivity

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  1. Library

Lexicon

Our mission to understand change will be greatly aided by a common vocabulary that applies within and across systems.

Change (∆)

Universal Definition: The transformation or transition from one state, form, or phase to another across any dimension of experience, observation, or theoretical framework.

Applications:

  • Physics: The evolution of physical systems, such as kinetics or thermodynamic processes.

  • Sociology: Societal transformations, including cultural shifts and demographic transitions.

Measurements:

  • Quantitative: Rate of change, derivative measurements, change vectors.

  • Qualitative: Descriptions of subjective experiences, narratives of transformation.

System

Universal Definition: An organized, interrelated set of components or entities that form a complex and unified whole, exhibiting behaviors not present in individual components.

Applications:

  • Biology: Ecosystems with biotic and abiotic components.

  • Computer Science: Information processing structures, hardware, and software configurations.

Measurements:

  • Quantitative: System effectiveness, efficiency, throughput.

  • Qualitative: System health, resilience, adaptability.

Equilibrium

Universal Definition: A state of balance in a system where competing influences or forces are matched, often temporary and dynamic.

Applications:

  • Chemistry: Chemical equilibrium in reactions.

  • Economics: Market equilibrium, where supply meets demand.

Measurements:

  • Quantitative: Equilibrium constants, point of balance in forces or reactions.

  • Qualitative: Perceived stability, satisfaction.

Pattern

Universal Definition: A repetitive or recognizable arrangement of elements, processes, or structures in a system.

Applications:

  • Mathematics: Fractal geometries, sequence patterns.

  • Anthropology: Cultural patterns, rituals, and social practices.

Measurements:

  • Quantitative: Frequency, symmetry, regularity.

  • Qualitative: Aesthetic value, symbolic significance.

Complexity

Universal Definition: The quality or state of having multiple interdependent parts or dimensions that contribute to the behavior or nature of a system.

Applications:

  • Network Theory: Complex interconnections within networks.

  • Philosophy: Complex ideas within epistemology or ethics.

Measurements:

  • Quantitative: Complexity metrics, such as Kolmogorov complexity.

  • Qualitative: Descriptions of intricate or multifaceted phenomena.

Feedback

Universal Definition: A process in which the output or result of a system is fed back into the system, potentially altering its future states or outputs.

Applications:

  • Engineering: Control systems with feedback loops.

  • Biology: Homeostasis and regulatory mechanisms.

Measurements:

  • Quantitative: Feedback loop gains, response times.

  • Qualitative: Stability, sensitivity to input changes.

Emergence

Universal Definition: The phenomenon by which higher-level properties or patterns arise from the collective interactions of lower-level components.

Applications:

  • Cognitive Science: Consciousness as an emergent property of neural networks.

  • Physics: Emergent phenomena in condensed matter.

Measurements:

  • Quantitative: Degrees of emergent properties relative to base components.

  • Qualitative: Novelty, unpredictability.

Scale

Universal Definition: The dimension or magnitude of measurement that defines the extent or scope of a phenomenon or analysis.

Applications:

  • Geography: Spatial scales from local to global.

  • Quantum Mechanics: Planck scale in relation to cosmic scale.

Measurements:

  • Quantitative: Orders of magnitude, measurement units.

  • Qualitative: Conceptual levels of importance, relevance.

Resilience

Universal Definition: The capacity of a system to withstand disturbances while maintaining its core function and integrity.

Applications:

  • Ecology: The ability of ecosystems to absorb changes and disturbances, returning to a state of equilibrium.

  • Psychology: Individual and communal ability to recover from adversity and maintain psychological well-being.

Measurements:

  • Quantitative: Measuring recovery speed, system robustness, and threshold limits.

  • Qualitative: Assessments of adaptability, strength, and sustainability in the face of change.

Connectivity

Universal Definition: The state or quality of being connected or interconnected within a system, influencing flow and interaction.

Applications:

  • Network Theory: The intricacies and strength of links within networks.

  • Ecology: The interconnectedness of species within ecosystems.

Measurements:

  • Quantitative: Connection density, interaction rates, network centrality metrics.

  • Qualitative: Descriptions of relational density, narratives of interconnectedness.

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