A Modest Constraint-Based Account of Persistence in Living Systems

A Modest Constraint-Based Account of Persistence in Living Systems Ricardo Miguel Machado Fernandes 1 Aim and Scope This work does not propose a new fundamental ontology or a replacement for existing physical or biological theories. Its aim is more limited: to offer a unifying explanatory perspective on persistence, evolution, and intelligence by emphasizing the role of constraints in shaping which physical possibilities become dynamically realized over time. The framework is intended as a complementary layer of explanation, not a reduction or supersession of established accounts in physics, biology, or philosophy. 1.1 Methodological Note This text presents a refinement and consolidation of reasoning developed across my earlier work. It is not intended as a new foundational theory, but as an updated articulation of certain ideas that have evolved through continued reflection. Some concepts are clarified, reorganized, or made more explicit, while others are reframed to improve coherence and precision. The aim is to state more clearly what was already implicit in previous formulations, rather than to introduce a fundamentally different perspective. 2 Definitions and Background Commitments Alaw specifies invariant relationships governing system dynamics. Aboundary condition fixes specific values or states at the limits of a system. Aconstraint field refers to the structured set of energetic, material, ecological, and informational limits that jointly determine which system trajectories remain dynamically stable under perturbation. No claim is made that constraint fields are ontologically fundamental; they are introduced as an explanatory construct grounded in known physical processes. Survival is understood minimally as the persistence of a system’s organizational structure under ongoing energy flow and perturbation. 3 Argument Structure Premise 1 Physical laws permit a wide range of mathematically definable system trajectories. 1 Premise 2 Only a subset of these trajectories can be physically instantiated and maintained under real conditions of energy flow, material limitation, and environmental perturbation. Premise 3 Trajectories that cannot maintain structural coherence under these conditions rapidly dissipate, collapse, or fail to enter sustained causal chains. Intermediate Conclusion Dynamic stability under constraint is a necessary condition for persistent physical instantiation, even if it is not sufficient for all forms of existence. Premise 4 Living systems are empirically characterized by their persistence as far-from-equilibrium structures requiring continuous energy throughput. Premise 5 Across biological scales, many potential forms and configurations never arise or persist long enough to be subject to classical selection processes. Intermediate Conclusion The space of evolutionary outcomes is strongly pre-structured by constraints that eliminate unstable configurations prior to, and independently of, differential reproductive success. Premise 6 Constraints acting on living systems are distributed, multi-scale, and often field-like in effect, shaping viability without specifying particular outcomes. Premise 7 Such constraints can be identified empirically through their effects on persistence, failure modes, and stability boundaries, even if their ultimate emergence is not fully understood. Main Conclusion It is reasonable to model life as a class of dynamically stable trajectories within constraint-structured possibility spaces, where persistence arises primarily through the elimination of instability rather than optimization toward predefined ends. 2 4 Clarifications and Limits This account does not deny the existence of fleeting or unstable states. On the contrary, such states are necessary for exploration of possibility space and may underlie novelty, variation, and mutation. The claim is only that persistent structures—those capable of sustained causal influence—require stability under constraint. Likewise, no claim is made that survival exhausts the meaning of truth, value, or normativity. Instead, it is suggested that normative and cognitive structures function as higher-level regulatory mechanisms that preserve alignment with constraints in contexts where direct survival feedback is no longer immediate. 5 Intelligence as a Derived Case On this view, intelligence can be understood as a further internalization and abstraction of constraint management. By extending regulation beyond immediate physical feedback, intelligent systems can increase short-term persistence and flexibility. However, this abstraction may also introduce new forms of fragility when regulatory processes become decoupled from the constraints that originally ensured stability. This claim is offered as a hypothesis about systemic risk, not as a moral or teleological judgment. 6 Life-Class Applications •Plants. Plants persist by directly aligning growth and structure with external energy and material fields, enforcing survival through continuous local field capture rather than movement or internal buffering. •Insects. Insects persist by occupying extremely narrow, high-resolution solutions within external constraint fields, where small-scale physics permits many finely tuned but fragile survival trajectories. •Fish. Fish persist by aligning morphology and behavior with fluid-dominated external fields, where buoyancy and hydrodynamics relax structural constraints and allow broad shape diversity. •Amphibians. Amphibians persist only within tightly bounded environmental fields, acting as direct sensors of moisture and temperature where minimal buffering makes survival immediately constraint-limited. •Reptiles (cold-blooded land animals). Reptiles persist by behaviorally tracking external thermal fields, trading internal regulation for energetic efficiency and strong geographic constraint. •Birds. Birds persist by combining internal buffering with mobility and temporal control of exposure, allowing dynamically maintained solutions across highly variable ecological and optical fields. •Mammals. Mammals persist by internalizing survival constraints through continuous metabolic regulation, collapsing viable forms into fewer, energetically expensive but highly persistent solutions. 3 •Parasites. Parasites persist by outsourcing survival constraints to host organisms, reducing independent viability requirements through extreme specialization within borrowed physiological fields. •Social superorganisms (ants, bees, termites). Social superorganisms persist by shifting survival enforcement from individuals to collective structures, where colony-level dynamics define viability rather than organism-level traits. •Marine mammals. Marine mammals persist by internalizing mammalian regulation within fluidand pressure-dominated environments, restricting survival to a small set of large, energetically optimized forms. •Extreme specialists (cave, deep-sea, desert, polar animals). Extreme specialists persist at the boundary of viability, occupying ultra-narrow constraint fields where any deviation from environmental alignment results in immediate collapse. •Sessile animals (corals, sponges, anemones). Sessile animals persist by stabilizing geometry within external flow and diffusion fields, where survival depends on structural alignment rather than movement or behavior. 7 Provisional Synthesis If the above premises are accepted, then life may be provisionally understood as the class of systems that persist as stable, energy-coupled trajectories under constraint. Evolutionary and ecological patterns follow from how constraints delimit viability, while intelligence represents a further abstraction of this constraint alignment process. This framework remains open to revision, empirical refinement, and alternative interpretations. Its value, if any, lies in whether it clarifies patterns of persistence and failure across biological and physical domains more effectively than existing explanatory approaches. 8 Closing Note Nothing in this account requires new physical laws, novel forces, or teleological assumptions. It rests only on the claim that persistence under constraint is explanatorily significant—and that making this explicit may help organize otherwise disparate observations across scales. 4