Evolution, Covolution, and the Production of Switches
This section examines how evolution and covolution differ in their relationship to informational complexity.
The two processes both produce variation in biological lineages, but they differ in whether they exert systematic pressure toward higher informational complexity, in the timescales over which they operate, and in the substrates they can affect.
The central distinction is this: evolution is agnostic about informational complexity, sometimes producing increases and sometimes producing decreases depending on local conditions. Covolution is intrinsically complexity-producing, because the activity of covolution is the active construction of distinguishability by computational horons.
The two processes operate in different ways and produce different kinds of evolutionary trajectories.
This section develops the distinction through three claims, each addressing a different aspect of the relationship between evolutionary process and complexity production.
Switches as a unit of informational complexity
Before the comparison can be made precisely, the framework needs a working concept of informational complexity. A switch in this framework is a unit of realized distinguishability — a single distinction that an information object maintains, processes, or acts upon. Examples include regulatory states (a gene is on or off), receptor configurations (bound or unbound), decision points (which path to take), cellular identities (which differentiation pathway has been followed), and at higher scales, behavioral choices, social commitments, and technological design decisions.
The switching density of a system is the concentration of switches per unit of substrate. A system with many distinct states packed into a small physical or informational volume has high switching density. A system with few states across a large volume has low switching density. Switching density measures the informational richness of a system — how many distinctions it maintains and acts upon per unit of its existence.
Switches are not particles in the physical sense. They are functional units of distinguishability, defined by what they do (maintain a distinction) rather than by their physical substrate. The same switch can be implemented in many substrates: a regulatory switch can be implemented in DNA, in protein conformation, in neural state, in software, or in institutional procedure. What matters is the maintenance of distinguishability, not the medium in which it is maintained.
With this concept in place, the question of how evolution and covolution relate to switching density becomes tractable.
Claim One: Evolution does not systematically increase switching density
Classical Darwinian evolution operates through variation, selection, and inheritance on populations whose state-spaces are largely given. The process produces lineages adapted to their environments, but adaptation does not require increasing switching density. A lineage can become better adapted by adding switches, by removing switches, or by modifying existing switches. The direction depends entirely on what selection favors in the local environment.
Several observations follow from this.
Lineages with high switching density are not inherently more successful than lineages with low switching density. Bacteria have persisted as the dominant biomass on Earth for billions of years with relatively modest switching density per organism. The combined switching density of the bacterial biosphere is enormous, but individual bacterial lineages do not consistently increase their switch counts over evolutionary time. Many bacterial lineages have actually reduced their switch counts through genome reduction in stable environments.
Parasitic and symbiotic lineages frequently lose switches as they adapt to dependent lifestyles. Tapeworms have lost much of the metabolic apparatus their free-living ancestors possessed. Obligate intracellular symbionts often have dramatically reduced genomes compared to their free-living relatives. These are evolutionary success stories that involved decreasing switching density.
The major increases in switching density in evolutionary history — the origin of eukaryotic cells, the evolution of multicellularity, the development of nervous systems, the emergence of language — were not the result of any general evolutionary pressure toward more switches. They were responses to specific opportunities or challenges that happened to favor switch-rich variants. Once the new switch-rich form existed, it could persist, but evolution did not push lineages toward such forms in any directed way.
The accurate position is therefore that evolution is agnostic about switching density. It moves lineages toward whatever density level local selection favors. Sometimes this means increase, sometimes decrease, often neither. Apparent trends toward higher complexity in evolutionary history are partly real but reflect specific historical circumstances rather than any general evolutionary mechanism.
Claim Two: Covolution systematically increases switching density where it operates
Covolution differs from evolution in being intrinsically density-producing. The mechanism is not mysterious: covolution is defined as the activity of information objects constructing and refining their possibility-spaces through computation and prediction. This activity is the active production of distinguishability. Wherever covolution operates, switching density increases in the regions where it operates, because that increase is what covolution is.
A horon engaged in covolution produces switches in several ways at once. It develops internal regulatory architecture that responds to environmental variation with higher specificity, adding switches to its internal state-space. It modifies its environment in ways that introduce new distinguishable conditions, adding switches to its symvironment. It transmits switch-structure to descendants through inheritance channels — genetic, epigenetic, cultural, technological — that preserve and elaborate accumulated distinctions across generations. Each of these activities increases the switching density of the local region in which the horon and its descendants operate.
This is not occasional but systematic. A bacterium engaged in CRISPR-Cas immune function is adding switches every time it incorporates a new spacer sequence. A developing organism is adding switches as it elaborates its cellular differentiation. A learning animal is adding switches as it forms new associations and habits. A research community is adding switches as it produces new concepts, methods, and findings. A civilization is adding switches as it develops new technologies, institutions, and cultural forms. The rate varies enormously, but the direction is consistent: covolution increases switching density.
The contrast with evolution is therefore sharp. Evolution sometimes produces increases in switching density as side effects of selection on other traits. Covolution produces increases in switching density as its direct activity. The difference is not in the magnitude of change but in the systematic character of the change.
Claim Three: The increase from covolution operates on shorter timescales than evolutionary change
A consequence of the previous claim is that covolution operates on dramatically faster timescales than evolution. Where evolutionary changes in switching density typically require many generations to accumulate, covolutionary changes can occur within single generations, within single lifetimes, or even within minutes for fast-computing horons.
Within an individual lifetime, an organism's covolutionary activity continuously elaborates its switching density. A developing brain adds switches as it forms new synaptic connections. An immune system adds switches as it encounters new pathogens. A learning organism adds switches as it acquires new associations. None of these requires evolutionary timescales; they are products of within-lifetime computational activity.
Across generations, covolutionary inheritance through cultural and technological channels can transmit accumulated switches at speeds far exceeding genetic inheritance. A single generation of human cultural transmission can move switching density that genetic evolution would require thousands of generations to move. The Internet has produced an enormous expansion of switching density in human civilizations within a few decades, a timescale at which genetic evolution is essentially static.
This timescale difference is one reason covolution and evolution can coexist without conflict. They operate on the same substrates but on different temporal scales, and their effects interleave rather than competing directly. Evolution sets the deep parameters within which covolution operates — the basic capacities of organisms, the broad architecture of life — while covolution rapidly elaborates the fine structure within those parameters.
What this means for the broader framework
Three observations follow that connect this analysis to other parts of the framework.
Covolution explains why the universe shows accumulating informational complexity in some regions despite no general evolutionary trend in that direction. If evolution were the only process operating, the framework would expect roughly stationary switching density across cosmological time — sometimes higher, sometimes lower, but with no systematic direction. The observed pattern is different. In regions where covolutionary processes have operated — particularly Earth's biosphere over the past three to four billion years, and human civilization over the past few thousand — switching density has increased substantially and in some respects dramatically. The framework attributes this to covolution rather than to evolution. The biosphere and human civilization are zones of intense covolution, and that is why they exhibit informational complexity that evolution alone would not produce.
Switching density provides a quantitative dimension to covolution. Earlier discussions of covolution have been largely qualitative. The introduction of switches as a unit allows in-principle quantification: a system has a measurable switching density, and a process can be characterized by the rate at which it changes that density. Comparisons across systems and across time become possible, at least in principle. Operationalizing this measure remains a substantial project — it requires deciding what counts as a switch in particular substrates and how to count them — but the conceptual framework supports the project.
The framework now has a way to talk about loss of complexity. When a horon dies, when a civilization collapses, when an ecosystem simplifies, switching density in that region decreases. The framework does not require switches to be conserved (the earlier parity-machine claim is not retained here), but it can describe loss of switching density as a real phenomenon distinct from random change. Horontic dissolution, biological extinction, and civilizational collapse all share the structural feature that switching density decreases as the covolutionary capacity of the system fails.
What the framework does not claim
Three claims that might be expected are deliberately not made here.
The framework does not claim that switches are globally conserved. The earlier informal suggestion that the universe is a "parity machine" with respect to switches was attractive but not defensible without substantial work in physics that has not been done. Covolution can produce real increases in switching density that are not balanced by decreases elsewhere; the framework is silent on whether such increases are bounded by some cosmological conservation principle.
The framework does not claim that higher switching density is inherently better or that covolution is therefore progress. Switching density is a structural feature, not a value judgment. Some horons with high switching density are unsustainable; some with low switching density are remarkably robust. The framework provides a vocabulary for describing complexity dynamics, not for ranking systems by their switch counts.
The framework does not claim that covolution is the only source of complexity in the universe. Physical processes — gravitational collapse, chemical self-organization, fluid dynamics — produce structured complexity that is not covolutionary in the strict sense. The claim is only that covolution is the systematic source of informational complexity in regions where horons operate. Physical complexity arises through other mechanisms.
Synthesis
Evolution and covolution both operate on biological lineages, but they relate to informational complexity in fundamentally different ways. Evolution is agnostic about switching density, producing increases or decreases depending on local conditions and selection pressures. Covolution is intrinsically density-producing, because the activity of covolution is the active construction of distinguishability by computational horons. Where both processes operate together, as in Earth's biosphere and human civilization, the result is accumulating informational complexity in the regions where covolution is active, accelerating over time as covolutionary capacities themselves develop and elaborate.
The framework therefore offers an account of why some regions of the universe exhibit dramatically more informational complexity than others. The answer is not that evolution drives lineages toward complexity, because evolution does not do that systematically. The answer is that covolution does drive systems toward higher switching density, and the regions where covolution has operated most intensely — biological evolution for billions of years, then cognitive and social and technological covolution for shorter but more intensive periods — have accumulated correspondingly high informational complexity. The complexity is paid for by the computational activity of horons, sustained over long durations, building on the accumulated work of earlier horons in the same lineage.
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