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Teleodynamics and Machine Intelligence

Source-aware definitions of teleodynamics, autopoiesis, enaction, teleonomy, homeostasis, and active inference with careful runtime translations and limitations.

Terms and boundaries

These concepts originated in biology, complex systems, and cognitive science. A runtime translation is useful only when it yields explicit state, rules, measurements, and failure criteria. Source: Incomplete Nature Source: Autopoiesis and Cognition Source: The Embodied Mind

Concept Original domain Concise definition Possible runtime translation Limitation
Teleodynamics Complex systems / philosophy of biology End-directed organization emerging from mutually constraining processes Control objectives arising from coupled operational constraints Editorial analogy unless formally instantiated
Autopoiesis Biology / systems theory A network that produces and maintains its organization Self-monitoring, repair, and boundary maintenance Software services do not become living systems by analogy
Enaction Cognitive science Cognition through ongoing agent–environment coupling Perception/action feedback with updated runtime state Does not itself specify governance or safety
Teleonomy Biology Apparent purpose produced by a program or evolved mechanism Externally specified goals expressed through runtime behavior Does not imply self-generated goals
Homeostasis Physiology / control Maintaining variables within viable ranges Budgets, health metrics, error rates, and context pressure Thresholds are engineered, not biologically intrinsic
Active inference Computational neuroscience Action and belief update under a generative model One possible control formalism Distinct from teleodynamics; do not conflate them

Deacon’s hierarchy as an editorial mapping

Deacon distinguishes a baseline homeodynamic or thermodynamic tendency, morphodynamic self-organization, and teleodynamic reciprocal constraint. The following is a MiRuntime editorial mapping, not a scientific equivalence: Source: Teleological causality

  1. Direct execution: a request follows the configured path and dissipates its budget.
  2. Self-organizing representation or search: candidates, plans, or representations form under local scoring.
  3. Runtime-level mutual constraint: goals, policies, resources, recovery, and evidence jointly limit which actions remain valid.

Metaphor versus mechanism

Metaphor can help describe

  • Viability and maintenance.
  • Repair and coupled feedback.
  • Bounded growth and constraint.

Mechanism requires

  • Explicit state variables and update rules.
  • Measurable thresholds and testable predictions.
  • Failure criteria, benchmark comparison, and reproducible code or data.

Research implications for MIR

01

Observe

Monitor external state, internal operating condition, evidence quality, and uncertainty.

02

Constrain

Preserve immutable policy, resource limits, identity, and approval boundaries.

03

Recover

Detect loss of validity and restore, compensate, ask, no-op, or terminate.

04

Prove

Preserve the proposal, authority decision, checkpoint, effect, and measured outcome.

Limitations

Translating biological concepts into runtime engineering is an editorial synthesis and remains an open research program. The translation does not establish life, consciousness, affect, autonomy, or intrinsic purpose in software. Active inference is cited as a distinct computational framework, not as evidence that all adaptive runtimes implement it. Source: Free-energy principle

Source record

References

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  1. Terrence W. Deacon. W. W. Norton & Company. Published 2011; last reviewed 2026-06-24 UTC. Foundational book.

  2. Terrence W. Deacon and Miguel García-Valdecasas. Philosophical Transactions of the Royal Society A. Published 2023; last reviewed 2026-06-24 UTC. Peer-reviewed research paper.

  3. Humberto R. Maturana and Francisco J. Varela. Springer. Published 1980; last reviewed 2026-06-24 UTC. Foundational book.

  4. Francisco G. Varela, Humberto R. Maturana, and Ricardo Uribe. Biosystems. Published 1974; last reviewed 2026-06-24 UTC. Peer-reviewed research paper.

  5. Francisco J. Varela, Evan Thompson, and Eleanor Rosch. MIT Press. Published 1991; last reviewed 2026-06-24 UTC. Foundational book.

  6. Karl Friston. Nature Reviews Neuroscience. Published 2010; last reviewed 2026-06-24 UTC. Peer-reviewed review paper.