Pre-Constitutional Physics — Canonical Definition

Bounded System

A bounded system is a configuration of structural multiplicity whose behavior is constrained by persistent limits that are localized by boundaries, such that it maintains a distinguishable internal state relative to an external environment.

Conditional Persistence

Bounded systems exist only so long as boundary integrity is maintained.

When constraints are exceeded or boundaries fail, ex:

• Coordination demand exceeds regulatory capacity (exhaustion)
• Constraint overload destabilizes boundaries
• Irreversible loss fragments internal coherence (decoherence)

The system may degrade, dissolve, or be absorbed into a larger structure.

The specific form of boundedness shapes system behavior, scaling limits, and characteristic failure modes.

Termination alone is not failure; failure refers specifically to breakdown of boundary-mediated coherence before feasible lifecycle completion.

Exemples of bounded systems

1. Physical & Natural Systems

• Fundamental physical systems
  – particles, fields, thermodynamic systems
• Chemical reaction networks
  – autocatalytic cycles, reaction–diffusion systems
• Planetary systems
  – orbits, climate, geophysical cycles
• Stellar systems
  – star formation, fusion lifecycles
• Entropy-driven systems
  – heat flow, phase transitions

2. Biological Systems

• Cells (single-cell organisms)
• Multicellular organisms
• Organs and physiological subsystems
• immune system, endocrine system, nervous system
• Populations and species
• Ecosystems and food webs
• Evolutionary lineages

3. Cognitive Systems (natural intelligence)

• Individual nervous systems
• Human cognition
• Animal cognition
• Collective cognition (packs, flocks, swarms)
• Learning systems (non-symbolic)

4. Artificial & Engineered Systems

• Control systems
• thermostats, PID controllers
• Software systems
• operating systems, distributed systems
• Machine learning models
• neural networks, reinforcement learners
• Autonomous agents
• robotics, game-playing agents
• Cyber-physical systems
• power grids, traffic systems

5. Economic Systems

• Markets (local, global)
• Firms and organizations
• Supply chains
• Financial systems
• Trade networks
• Rent-extraction structures (descriptively)
• Pricing and incentive systems

6. Institutional & Governance Systems

• Legal systems
• Regulatory systems
• Bureaucracies
• States and governments
• International systems
• Standards bodies
• Treaties and agreements

7. Social & Cultural Systems

• Languages
• Norm systems
• Cultural traditions
• Memetic systems
• Educational systems
• Religious institutions (as systems, not beliefs)

8. Ecological–Economic Hybrids

• Human–environment systems
• Resource extraction systems
• Energy grids
• Agriculture systems
• Fisheries
• Climate–economy feedback loops

9. Information Systems (non-physical)

• Communication networks
• Protocol stacks (TCP/IP, APIs)
• Knowledge graphs
• Scientific disciplines
• Media ecosystems
• Narrative ecosystems

10. Historical & Evolutionary Systems
These are temporal systems, not spatial ones.

• Technological lineages
• Institutional histories
• Civilizational trajectories
• Economic regimes
• Legal precedent chains
• Software legacy systems

11. Edge Cases

• Near-boundary systems (dying organisms, collapsing institutions) – fit
• Highly distributed systems (blockchains, peer-to-peer networks) – fit
• Overlapping-boundary systems (federations, multi-tenant platforms) – fit
• Self-referential systems (recursive models, self-modifying code) – fit
• One-shot systems – weak fit
  – explosions, irreversible events → fit constraints & state evolution, but not feedback persistence

12. Systems that do NOT fit

• Unbounded omniscient agents
• Systems with perfect global information
• Systems with reversible time and no hysteresis
• Fully intention-driven systems without constraints
• Purely static entities (no state evolution)

Canonical Summary Sentence