Autopoiesis and Enaction in the Game of Life - Randall D. Beer (PIBBSS Speaker Series)

The Nugget

  • Autopoiesis and enaction in Conway's Game of Life reveal how self-sustaining units (like gliders) form and interact within a deterministic universe. This model elucidates theoretical foundations of autonomy, interactions, and significance in complex biological and cognitive systems, helping bridge gaps between low-level physical processes and higher-level autonomous behavior.

Make it stick

  • 🌱 Autopoiesis: Self-creation—systems that make themselves rather than reproducing copies.
  • 🧩 Structural coupling: The dynamic interaction between an autonomous system and its environment, grounding the idea of enaction.
  • 🚀 Glider: A simple moving entity in Conway's Game of Life, exemplifying how organized structures emerge and sustain themselves.
  • 🌍 Domain of significance: How an autonomous system sees and interacts with its environment, imbuing some parts of the universe with meaning.

Key insights

Four Pillars of Cognition

  • The 4E approach to cognition includes Embodied, Embedded, Extended, and Enactive cognition.
  • Inaction, the focus in this talk, deals with the co-emergence of identity and its world through actions.

Enactive Approach Foundations

  • Enaction involves autonomous organizations distinguishing themselves from surroundings, defining a domain of interactions that creates significance in the universe.
  • Derived from work by Maturana and Varela, the enactive approach broadens their concepts of autopoiesis (self-creation) and structural coupling (dynamic interactions).

Glider as an Example

  • Gliders in the Game of Life offer a concrete model to explore autopoiesis and structural coupling.
  • Despite their simplicity, gliders demonstrate self-sustaining behavior and interaction with their environment, mimicking biological systems in a toy model universe.

Process Dependency Networks

  • Processes in the cellular automata (Game of Life) map out dependency networks. These networks show how components sustain an entity like a glider.
  • Perturbing these networks helps analyze the robustness and interaction of these emergent systems.

Interaction Graphs

  • Interaction between gliders and their environments results in a structured set of possible states and transitions.
  • Non-destructive perturbations of gliders fall into six classes, demonstrating a structured and predictable interaction model.

Concept of Structural Coupling

  • This two-way interaction is key in understanding how entities not only withstand but also affect their environments.
  • Structural coupling in this context reveals the processes by which environments and autonomous systems co-evolve.

Relating Constitution and Interaction

  • In an animated discussion, the model shows how constitution (self-creation) and interaction (dynamic engagement with the environment) are interconnected.
  • The exploration also touches on how different forms of organization can persist and adapt in various environmental setups.

Key quotes

  • "Enaction is all about the co-emergence of an identity and its world of significance through its actions."
  • "The idea underlying autopoiesis is that some organizations of interdependent processes can become autonomous."
  • "Structural coupling is about the dynamic interaction between a system and its environment, which is the foundation of enaction."
  • "Gliders are persistent, bounded entities that reveal how autonomous systems can emerge and engage dynamically with their environments, even in a simple universe."
  • "This toy model lets us probe the theoretical foundations of autonomy and interaction, paving the way to tangible insights that verbal debate alone can't achieve."
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