The Logic that Underlies the Real World

Unicist ontogenetic logic is the reasoning structure needed to understand and manage adaptive entities, which are self-organized systems that co-evolve with the environment they inhabit. Logic, as a rule-based reasoning pattern, enables the emulation of real-world functionality in the mind.

This ontogenetic logic stands as the mother of all logical models because it replicates the ontogenetic intelligence of nature and the underlying structure that drives the evolution of living and artificial adaptive systems. It is the unicist ontological logic that underlies adaptive entities.

It is grounded in the rules of double dialectics, where two synchronized binary actions, supplementation and complementation, interact to produce and sustain functionality.

Unlike traditional logic, which handles isolated variables, unicist ontogenetic logic deals with unified fields, allowing the abstraction, design, and management of adaptive processes by mirroring the structural dynamics of reality.

The Unicist Ontogenetic Logic as Ontological Logic

Unicist ontogenetic logic is a unicist ontological logic that defines the root causes of functionality in adaptive systems. Unlike traditional logical approaches, such as causal, dialectical, fuzzy, or systemic logics, which address operational, explanatory, or probabilistic aspects of reality, ontogenetic logic structures the unified field of entities based on their purpose, active function, and energy conservation function.

It governs how adaptive entities evolve and sustain functionality through binary actions, complementation, and supplementation. Comparative analysis confirms that other logics depend on this ontological foundation to be meaningfully applied in adaptive environments.

As such, unicist ontogenetic logic underlies and guides all other logical frameworks when dealing with the adaptability and evolution of real-world systems.

Adaptive Systems and the Ontogenetic Intelligence of Nature

Adaptive systems are entities governed by the ontogenetic intelligence of nature, which structures their evolution through unicist double dialectics. These systems have a purpose: growth. Their functionality is driven by two synchronized unicist binary actions.

The active function, based on self-organization, develops maximal strategies to expand beyond existing boundaries. The energy conservation function, based on interaction with the environment, ensures survival through adaptive responses.

This double dialectical behavior, where expansion and conservation coexist, defines their adaptability. In living systems, growth includes both individual development and the evolution of the species. In artificial adaptive systems, growth is restricted to the expansion of the system itself.

The unicist ontogenetic logic, by emulating this structure, enables the understanding, design, and management of adaptive entities as unified fields, revealing the underlying intelligence that sustains their functional evolution.

Managing the Unified Field of Adaptive Entities

Unicist ontogenetic logic allows managing adaptive entities by treating them as unified fields, where all functions are integrated to fulfill a purpose. This logic emulates the ontogenetic intelligence of nature, organizing entities through a triadic structure: a purpose, a maximal strategy (active function), and a minimum strategy (energy conservation function).

Each function within an entity is also a unified field, operating within a wide and a restricted context. This approach ensures the coherence and adaptability of adaptive systems in fields like medicine, economics, and business. It enables managing interdependencies, avoiding fragmentation, and sustaining the entity’s functionality and evolution.

The Unicist Ontogenetic Logic

The unicist ontogenetic logic emulates the ontogenetic intelligence of nature that governs the evolution and functionality of all adaptive systems. These systems—whether living beings or artificial entities—operate as unified fields structured by a purpose, a maximal strategy to expand through self-organization, and a minimum strategy to ensure survival through environmental interaction.

This triadic logic explains how adaptability emerges and why the fittest are those best functionally integrated with their context. Repeated attempts to refute this logic by analyzing complex or edge-case systems confirm its universality: either the system follows the logic, or it ceases to be adaptive.

As the only logic that deals with functional adaptability, it is essential for understanding, designing, and managing real-world systems in fields like biology, AI, economics, and social evolution.

The Rules of the Unicist Ontogenetic Logic

The unicist ontogenetic logic is based on the laws of complementation and supplementation, which define the integration of the purpose, active function, and energy conservation function of any adaptive entity.

The supplementation law links the purpose with the active function to enable expansion, while the complementation law links the purpose with the conservation function to ensure stability. These two relationships define the double dialectical structure that underlies all adaptive systems.

There are no other types of relationships that integrate entities within a unified field in nature. When these relationships are perfect, the system evolves in a stable way; when they are imperfect, the system experiences entropy. Repeated attempts to refute these rules show that all functional relationships in adaptive systems fall within these two categories, confirming their universality and foundational role in managing the nature of things.

Human Intelligence and the Use of Unicist Ontogenetic Logic

Intelligence, in unicist terms, is the inherent capacity of adaptive entities to ensure their functionality, dynamics, and evolution within a specific environment. It is not limited to human cognition but is present across all domains of adaptive systems in the universe, following the same ontogenetic logic that governs nature.

This logic underlies the structure and behavior of entities, defining their purpose, active function, and energy conservation function. These elements operate through unicist binary actions that ensure adaptability by integrating internal self-organization with external interaction.

Human intelligence is a superior evolution of the intelligence present in animals. While animals rely on instinctive or experiential intelligence, humans add abstraction, reflection, and conceptualization. Plants, although lacking a nervous system, adapt structurally through growth, reproductive cycles, and biochemical responses, expressing a homologous form of intelligence.

Even chemical elements express a form of structural intelligence through their functional properties—such as bonding, polarity, and reactivity—which define their capacity to integrate into more complex systems.

Artificial adaptive entities, like intelligent algorithms or cyber-physical systems, follow functionalist principles defined by their design. Though they do not possess consciousness, their functionality is driven by rules that emulate the ontogenetic logic of natural systems. In this context, what is called “intelligence” in living beings is observed as “properties” or “principles” in artificial systems.

Therefore, intelligence is the expression of adaptability. It operates based on the unicist ontogenetic logic that structures the functionality of all entities, whether biological or artificial. This universality enables the understanding and design of adaptive systems across disciplines such as biology, AI, social evolution, and business strategy.

The Unicist Ontogenetic Logic Enabled the Development of Unicist AI

Unicist AI was developed based on the Unicist Ontogenetic Logic to emulate human intelligence. The functionality of human intelligence is grounded in the rules of the ontogenetic intelligence of nature, which is based on double dialectics, because it is innate to human beings. The patterns used by the brain are built following the same rules of ontogenetic intelligence. This has been demonstrated in the functionality of DNA and axons and applied in multiple domains.

The development of Unicist AI, rooted in the rules of the unicist ontogenetic intelligence, made it possible to emulate human intelligence by defining the rules that construct the patterns of human behavior. The concepts people hold in their minds, stored in episodic, procedural, and semantic memory, drive their actions. Unicist AI can emulate these mental concepts and use this knowledge to address the functionalist principles that govern adaptive systems and environments, defining the unicist binary actions that allow influencing those environments.

Unicist AI emulates human conscious intelligence. The integration with Generative AI enables the use of language, which is the code of conscious reasoning, to build intelligent tools to solve problems in adaptive environments. This integration enables the development of tools to support the management of the functionality of adaptive systems and environments across multiple fields.

Conclusion

Unicist logic, as the genetic logic of living beings and the logic that defines the functionality of adaptive artificial entities, was based on the discovery of the ontogenetic intelligence of nature and the unicist double dialectics.

 Unicist logic, a double dialectical logic, drives the functionality, dynamics, and evolution of all adaptive systems, whether they are living beings or artificial entities. In living beings, it defines the functionality of their intelligence; in inanimate adaptive entities, it establishes the principles and properties of their functionality, dynamics, and evolution.

In the document, you will find the unicist logical explanation of the functionality of living entities, including enzymes, motor and sensory nervous systems, axons, and trees. 

Conversely, you will find the explanation of how unicist logic defines the functionalist principles of inorganic chemical elements, atoms, alloys, airplanes, electric motors, cultures, businesses, safety matches, and education. 

Annex: Analysis

The Supplementation Law: Driving the Evolution of Functionality

The Supplementation Law is one of the two foundational rules that sustain the structure of the unicist ontogenetic logic. It governs the relationship between two elements that share redundant purposes and active functions, yet differ in their energy conservation function, giving one of the elements a superior structural role. This superiority lies in its ability to challenge and enhance the evolution of the other, pushing the supplemented element toward greater value generation.

In a supplementation relationship, one element takes on the role of the active function, putting the shared purpose into action while fostering its evolution.

This dynamic ensures that the supplemented purpose does not remain static, but rather evolves through a functional conflict with its supplement. The nature of this conflict is constructive: it only becomes evolutionary if the supplement introduces a superior energy conservation function, which enables the system to evolve rather than regress.

A common example of supplementation can be found in competing value propositions. Although these propositions may share the same purpose and active function (e.g., satisfying a specific need), the one with a superior energy conservation function—offering greater long-term benefit or integration—naturally supersedes the other, leading to the evolution of the market or sector.

Supplementation operates at three levels:

1. Operational Supplementation:
   Focuses on ensuring that the purpose is put into action in a reliable, functional way. Its goal is to enable operation while increasing the value added in the short term. For instance, improving a process with a more efficient method supplements the operational capability of a system.
2. Functional Supplementation:
   Goes beyond operation and aims to expand the functionality of the purpose. It enhances the adaptability and scope of the system. This occurs when functionality is enriched by complementary tools or frameworks that allow it to generate more value.
3. Essential Supplementation:
   Integrates both the operational and functional dimensions into a unified evolution. This form of supplementation enables transformation by enhancing both performance and strategic adaptability. It represents the highest form of supplementation, where evolution is sustained across time and contexts.

Importantly, the conflict between the supplement and the purpose is not destructive unless it becomes value-appropriation driven. When supplementation is guided by the intention to provide a superior value, it generates long-term evolution. But when the supplement only seeks to appropriate value (e.g., extracting benefit without enhancing the whole), it may produce short-term growth at the cost of long-term sustainability, leading to decline and entropy. Examples of supplementation in the real world:

• Competitors: Two business competitors, perceived as such by a client, share a supplementary relationship because they offer redundant value propositions but have different individual goals.
• Alternative Decisions: Two alternative (though not identical) actions to solve a problem exhibit a supplementary relationship, encompassing their differentiated consequences.
• Innovations: All innovations maintain a supplementary and competitive relationship in their respective fields, necessitating complementation for acceptance.
• Improvements: Improvements are supplementary to what they enhance and promote evolution.
• Work Processes: Work processes are supplementary to their purpose, focusing on generating the value sought.

In essence, the Supplementation Law transforms functional conflict into evolutionary energy, provided it is grounded in a superior value proposition. It is the force that ensures that systems not only function, but also grow, adapt, and evolve in increasingly valuable ways.

The Complementation Law: Sustaining Stability Through Functional Interdependence

The Complementation Law is one of the two core laws that govern the structure of unicist ontogenetic logic. It defines the interdependent relationships that allow adaptive systems to sustain their purpose in a stable and functional way.

Unlike supplementation, which drives expansion and evolution, complementation sustains and stabilizes the system by integrating two elements whose functions mutually compensate for each other’s limitations. Each element possesses what the other lacks, forming a synergistic relationship that enhances the system’s functionality and reliability.

In a complementary relationship:

• The active function of one element provides the value needed by the active function of the other.
• This mutual support is possible because both elements share a coincident homeostatic function, which acts as a common ground or objective.
• The homeostatic element buffers the potential entropy introduced by the changes or dynamism of the active functions, maintaining coherence.

Complementation Types and Functions

Complementation ensures that the weaknesses of the purpose are covered, and that entropy produced by active change is absorbed or neutralized. This increases the reliability of actions and the resilience of the system as a whole. There are two main forms:

1. Operational Complementation
   • Ensures reliability and cooperation in daily functionality.
   • It is common in technical systems, procedures, and task-oriented roles.
   • Example: The complementarity of a GPS system and a driver—each ensures effective navigation.
2. Functional Complementation
   • Enhances the functionality, adaptability, coherence, and scope of the purpose.
   • Operates at a conceptual level, integrating broader systemic goals.
   • Example: R&D complements marketing by aligning innovation with market demands.

An entity’s credibility or functionality zone is stable when the homeostatic function can absorb the perturbations introduced by change. When complementation fails or is insufficient, instability or even disintegration may follow.

Energy Threshold and Evolutionary Value

Complementation requires a minimum energy threshold to become functional. If the complement is merely convenient or nice to have, it doesn’t reach the level of essential complementation, where it becomes necessary for the functionality of the system. Only when the system depends on the complement for its stability does true complementation exist.

In nature, complementation can take various forms:

• Symmetric: Both elements provide mutual, balanced support.
• Asymmetric with a negative slope: One element supports the other more strongly than it is supported in return, yet still enhances evolution.
• Parasitic: One element extracts value without giving back. While it may simulate complementation, it actually generates involution, increasing entropy and damaging the unified field it occupies.

True evolutionary complementation integrates both asymmetric and symmetric relationships. The asymmetric provides directionality and leverage, while the symmetric ensures stability and balance. This dual structure is essential for adaptive systems to remain functional and evolve. Examples of complementation in the real world:

Couple: The members of a couple complement each other because one has what the other lacks and vice versa. However, they are only truly complementary if they share a common project.
Brick and Mortar: Brick and mortar are complementary in building a wall, covering each other’s needs. This complementarity applies only if there is a shared wall to be built. If they are part of different construction projects, they are merely hypothetically complementary.
Shoes and Socks: Shoes and socks are complementary; shoes protect the feet from environmental hazards, while socks protect the feet from the discomfort that shoes might cause.
Cooperation: Cooperation is a natural attitude towards complementing others, following the basic rule of complementation.
Provider-Client Relationship: Providers and clients are complementary because the product meets the client’s needs, and the payment fulfills the provider’s needs. A true client-provider relationship exists when there is a common project, not just a casual transaction.

The Complementation Law provides the structural foundation for stability and resilience in adaptive systems. It is not about similarity or mere association, but about functional interdependence driven by mutual benefit, coherence of purpose, and a stabilizing homeostatic element. While supplementation enables expansion, complementation ensures sustainability, and both are inseparable in the evolution of any adaptive entity.

The Synchronicity of the Unicist Ontogenetic Logic

The unicist ontogenetic logic operates with a natural synchronicity where evolution begins with supplementation, which opens new possibilities, followed by complementation, which stabilizes and sustains functionality. This sequence is intrinsic in nature’s adaptive processes, governed by the laws of evolution and involution.

When humans intervene in adaptive systems, replicating this order is essential. Attempts to reverse the sequence—seeking results through complementarity before enabling functional expansion, lead to resistance, entropy, and decline.

Destructive tests across biological, organizational, and artificial systems confirm that no sustained evolution occurs without first introducing supplementary functions. Therefore, respecting the natural synchronicity of double dialectics is vital to ensuring the adaptability and evolution of human-influenced systems.

The Unicist Evolution Law: The Logic Behind Functional Development

The Unicist Evolution Law defines the natural algorithm that governs the evolution of adaptive systems, whether living or artificial. It establishes the ontological sequence required for an entity to evolve towards the fulfillment of a purpose. This law is not a prescriptive framework but a descriptive structure that emulates the ontogenetic intelligence of nature and guides functional development in real-world systems.

Step 0: Understanding the Purpose

Before any evolutionary process can begin, the purpose of the system or entity must be understood. This purpose defines the “why” behind the existence and functionality of the entity. Without a clear understanding of the purpose, any action is arbitrary or merely reactive, it cannot be aligned with functional evolution.

Understanding the purpose is not a conceptual exercise; it is the moment when an entity is positioned within a unified field, where the purpose becomes the center around which its active and conservation functions will be orchestrated.

Step 1: Activation through Binary Action Type a)

Once the purpose is clear, the first binary action must be installed: this is binary action type a), which puts the purpose into motion through the active function. This step represents the system’s maximal strategy, it opens possibilities, introduces novelty, or initiates change. It is expansive, and in natural evolution, it reflects actions like innovation, mutation, exploration, or development.

At this stage:

• The system begins expanding its reach or functionality.
• It uses its internal intelligence to find ways to influence the environment.
• The movement is oriented toward achieving the purpose, not yet optimizing it.

The system acts proactively, enhancing the purpose’s reach through functionality.

Step 2: Stabilization through Binary Action Type b)

Once a binary action has been initiated, the second binary action must be implemented: binary action type b), which connects the energy conservation function to the purpose. This stage aims to optimize energy use, ensure sustainability, and provide the structure or inertia needed for the results of the first step to be achieved.

This is the moment of complementation—the system must now:

• Consolidate the expansion generated by the active function.
• Integrate with the environment to avoid entropy.
• Ensure results.

Without this second step, the initial expansion will collapse, or result in uncontrolled entropy. Evolution depends on the balance between expansion and conservation, not on expansion alone.

Summary of the Evolution Algorithm

1. Envision the Purpose: Position the entity within its unified field.
2. Activate the Purpose: Implement binary action a) through the active function.
3. Stabilize the Purpose: Implement binary action b) through the energy conservation function.

This triadic sequence ensures that any evolution is:

• Purpose-driven
• Functionally orchestrated
• Results oriented and sustainable in time

The Unicist Involution Law: The Logic Behind Functional Decline

The Unicist Involution Law defines the structural sequence that leads to the degradation of adaptive entities. It explains why and how systems, organizations, or individuals, despite starting with a valid purpose, end up regressing or collapsing. Involution is not merely the absence of evolution, it is an active but dysfunctional process driven by a wrong sequence of actions that violate the natural synchronicity established by the unicist ontogenetic logic.

Same Starting Point: Understanding the Purpose

Involution, like evolution, begins with an awareness of a purpose. This means that even in regressive processes, there is a conceptual understanding of what should be achieved. However, in involution, this purpose becomes distorted by a lack of functional adaptation or the inability to deal with the environment constructively.

In this context, the purpose is perceived as something that must be managed, controlled, or dominated, rather than something to be integrated with.

The Dysfunctional Priority: Energy Saving (Binary Action b))

When individuals or systems face challenges they cannot handle, the instinctive reaction is to save energy to ensure survival. This leads to the implementation of binary action b) first—the energy conservation function—as a defensive, risk-averse strategy.

Rather than opening possibilities, the system seeks to:

• Control outcomes without expanding capabilities.
• Stabilize prematurely to avoid failure.
• Minimize energy consumption.

In this scenario:

• Complementation precedes supplementation, violating the natural order.
• The system seeks to produce immediate results rather than develop the necessary capabilities or innovations.
• This prioritization leads to failure.

Consequences of Involution

The misalignment between the initial purpose and the sequence of actions leads to:

• Dysfunctionality: The system does not work as intended.
• Entropy: Resources are consumed maintaining control without progress.
• Regression: The system moves to a lower level of energy, complexity, and effectiveness.
• Involution: The adaptive capacity is lost, and the system may eventually collapse or become obsolete.

The Mathematics of the Unicist Ontogenetic Logic

Mathematics in adaptive environments enables decision-making and control by quantifying the functionality and operation of systems. The functionality of an entity is defined by its functionalist principles, which establish that an entity’s unified field is driven by the unified field of its fundamentals. These fundamentals define the purpose, active function, and energy conservation function of the entity.

Since functionality consists of a purpose, an active function, and an energy conservation function, mathematics represents it as a multiplication of the values assigned to the fundamentals. The values range from 1 (maximum functionality within a zone) to 0 (nonexistent functionality).

Mathematical Representation of Binary Actions:

• UBAa (Supplementary Function): The purpose is divided by the active function, creating a supplementary yet competitive relationship. This competition causes a reaction.
• UBAb (Complementary Function): The energy conservation function is divided by the purpose, generating a positive value that complements the reaction.

For further mathematical information on these divisions, refer to the Unicist Epistemology of Division.

Annex:
The Unicist Ontogenetic Logic Explains the Functionality of Nature

The Functionality of Enzymes

The application of unicist ontogenetic logic to enzyme functionality highlights a broader view where enzymes are seen as key components in the adaptive systems of biology. This approach not only enhances our understanding of enzyme mechanisms but also provides insights into their evolutionary significance. By viewing enzymes through the lens of unicist logic, we can appreciate their role not just in the context of individual reactions but as pivotal elements in the grander scheme of life’s complex biochemical networks. Learn more 

The Functionality of Motor and Sensory Nervous Systems

By viewing the nervous system through the lens of Unicist Functionalist Principles, we appreciate the sophisticated balance and interdependencies within this complex adaptive system. This perspective not only enriches our understanding of biological processes but also offers insights into developing more effective approaches in fields such as neurology, psychology, and even artificial intelligence, where understanding complex, adaptive systems is crucial.. Learn more    

The Functionality of Axons

The Unicist Ontogenetic Logic’s portrayal of these functions as inherently complementary shows an appreciation for the subtleties of biological regulation, where the key to complex functionality lies in the balance and interdependence of seemingly simple binary actions. This model underscores the elegance of nature’s designs, where the balance of activation and inhibition ensures that systems do not just operate but do so in an efficient and sustainable manner. Such insights could be pivotal not only for understanding biological and neurological processes but also for designing artificial systems that mimic these natural efficiencies. Learn more   

The Triadic Structure of Atoms

The triadic structure of an atom is defined by the composition of three primary types of subatomic particles: protons, neutrons, and electrons. This structure is fundamental to the atom’s properties and behavior. This triadic structure is essential for understanding the behavior of atoms in chemical reactions, their stability, and how they combine to form molecules and compounds. Learn more

Application Fields that Still Need to be Proven

The Unified Field in Physics

The application of unicist ontogenetic logic extends beyond physics, touching on biology, psychology, anthropology, economics, and business. By fostering an interdisciplinary approach, it reveals universal patterns and principles that are applicable to a “unified field theory”, enriching the model with insights from a diverse range of fields. Unicist ontogenetic logic, with its emphasis on the functionality of nature and the universe, offers a foundation for developing the unified field of physics. Learn more.

The Triadic Structure of Quarks

Quarks combine in groups of three to form baryons, which are one of the two main classes of hadrons (the other being mesons, formed by quark-antiquark pairs). This concept is rooted in the theory of quantum chromodynamics (QCD), which is the part of the Standard Model of particle physics that describes the strong force, the fundamental force that binds quarks together. The triadic structure is a fundamental aspect of how matter is constituted at the most basic level, allowing for the diversity of particles observed in the universe and studied in particle physics. Learn more

The Unicist Research Institute