Unicist Logic: A Universal Logic that Emulates the Intelligence of Nature

Introduction: Development of the Unicist Logic, the Logic of Living Beings and Adaptive Systems

The intelligence of nature is defined by the functionality of natural entities. The discovery of this functionality as triadic, which will be explained later, establishes the limits of the human brain in simulating nature’s intelligence due to the dualistic functionality of neurons, which are either on or off. This required the development of an intelligence, the unicist logic, which allows for the emulation of nature’s intelligence based on the use of a double dialectical process. This process emulates the triadic structure of nature to construct artificial adaptive systems. It required the substitution of the unique actions of natural functions with binary actions to achieve results.

The discovery of the ontogenetic intelligence of nature has allowed for an understanding of the functionality, dynamics, and evolution of the real world. This led to the development of unicist logic, which explains the functionality of nature’s adaptability and how to manage adaptability in the real world when dealing with adaptive environments.

The first version of the unicist logic was completed by Peter Belohlavek in 1986. Since then, its application has expanded, including the establishment of rules for abductive reasoning and the development of Unicist AI to manage adaptive environments.

Unicist logic is an emulation of the ontogenetic intelligence of nature, based on a triadic functionality of the fundamentals of nature’s entities that drive their evolution and survival. This logical structure defines the adaptability of living entities and, therefore, applies to the construction of artificial adaptive systems.

The difference lies in the fact that the functional structure in nature is based on unique actions, while the functionality of artificial adaptive systems requires the development of two synchronized actions, named binary actions. For example, the binary actions of an airplane are the action of the motor and the action of the wings. The first action of an electric motor involves transforming electrical energy into magnetic energy, and the second action consists of transforming magnetic energy into mechanical energy.

The unicist logic structures the conscious concepts that people have in mind, which are the core drivers of their adaptive actions. These concepts are composed of a triadic structure defined by a purpose, an active function, and an energy conservation function. They are stored in episodic, procedural, and semantic memories and accessed through the use of conceptual short-term memory. Therefore, conceptual design is a logical approach to solution-building.

Unicist logic explains the basic functionality of functional principles that exist in all entities that are part of the world and defines their functionality.

Unicist logic is based on a triadic structure of fundamentals, where there is a central value that defines the purpose of a function, an antithetic value that defines its active function, and a homeostatic value that defines its energy conservation function.

Unicist logic defines the functionality of each of the fundamentals by establishing that the relationship between the purpose and the active function is supplementary, and the relationship between the purpose and the energy conservation function is complementary. Supplementation and complementation are defined by homonymous laws that regulate the functionality of any entity in the world.

In unicist logic, there are also laws of evolution and devolution that define the evolution of adaptive entities of any kind. The evolution of entities is driven by the prevalence of their active functions, while devolution is driven by the prevalence of their energy conservation functions.

The rules of unicist logic provided the structure for abductive reasoning, previously nonexistent, and facilitated the creation of Unicist AI, a rule-based approach to managing adaptive environments.

Evidence of the Triadic Structure in Nature

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.

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.

The Triadic Structure of Proteins

The three-dimensional structure of proteins is crucial for understanding how proteins function within living organisms. This structure is what allows proteins to interact with other molecules with high specificity and carry out their diverse roles in the cell. The three-dimensional structure of proteins is a hierarchy that begins with the sequence of amino acids and folds into complex shapes necessary for their specific functions. This intricate structure is fundamental to the protein’s ability to interact with other molecules and perform its role in the cell.

The Triadic Structure of Amino Acids

The “triadic structure” you’re referring to seems to imply the basic structure of amino acids, which consists of a central carbon atom (the alpha carbon) bonded to three groups: an amino group (-NH2), a carboxyl group (-COOH), and a variable side chain (R-group), along with a hydrogen atom. This structure is remarkably stable due to several factors inherent in its chemical nature and the environment in which it functions. These three groups, along with a hydrogen atom, are bonded to the alpha carbon, forming the fundamental structure that is common to all 20 standard amino acids found in proteins.

Synthesis of the Introduction

The approach to unicist logic requires thinking in terms of the functionality of things, going beyond their operationality. Unicist logic is a double dialectical logic that allows for the emulation of nature’s intelligence, understanding it, and enabling the development of artificial adaptive systems. These systems are based on the use of synchronized binary actions to make them function.

This necessitates the inclusion of abductive reasoning because while the active function of functionality can be observed, and the energy conservation function can be perceived, the true purpose must be approached through intuition.

The final validation of a unicist logical approach is based on the measurement of results, which involves developing destructive tests by defining actions that generate results and extending their use to adjacent segments until they become dysfunctional.

A Brief Description

The Unicist Logic is a synthetic logic that emulates the ontogenetic intelligence of nature and was developed to validate the triadic functionality of natural and artificial complex adaptive systems and to design and build binary actions to manage them. 

The unicist logic was developed to consciously manage the unified field of complex adaptive systems. Conscious reasoning allows the development of fallacy-free decisions and actions to ensure the results of what is intended to be achieved.

The Unicist Logic is an emulation of the Ontogenetic Intelligence of Nature. It emulates the intelligence and organization of nature and allows an understanding of the causes and the unified field of processes, evolution, and behavior.

The purpose of consciousness is to discriminate reality to be able to differentiate the outside an individual needs to deal with, from the inside the individual uses to emulate the external environment. The different logical approaches define different reasoning structures to develop reliable solutions.

The unicist logic is the natural logic to deal with adaptive environments and is the integrator of all logical reasoning patterns. It is homologous with the “category theory”, which is the mathematics that integrates different mathematics by using a superior level of abstraction.

This logic, which is based on human ontointelligence, allows dealing with the functionality, dynamics, and evolution of adaptive environments and provides the structure to build the unicist artificial intelligence. Non-adaptive environments are considered a “particular case” of adaptive systems.

Logic can be defined as the formalization of a fallacy-free reasoning process to solve specific categories of problems. There are as many logical reasoning patterns as there are different categories of problems that have been solved using a conscious reasoning process. The unicist logic was developed to approach adaptive systems and environments and its applicability expanded to understand the structure of any entity in the universe

Precedents of the Unicist Logic

The unicist logic to influence adaptive systems and environments is an emulation of the triadic structure of the Ontogenetic Intelligence of Nature. It is a scientific approach to the drivers of evolution. The main epistemological precedents of the triadic approach to the real world can be found in philosophy, not in science:

  1. The triadic universal categories, of Charles S. Peirce
  2. The triadic structure and unified field, of the TAO

The unicist logic is a double dialectical logic that emulates the structure of the intelligence that underlies nature, which makes it belong to the field of complexity sciences that deal with a scientific approach to adaptive systems and environments. . Paradoxically, this logic integrates the functionality of the preexisting logical approaches. The unicist thinking process, homologous to abductive reasoning, allows emulating the unicist logic in mind to apprehend complex adaptive systems. It can be said that unicist logic provides the structure for integrating science, philosophy, and actions in a unified field..

The Mechanics of the Unicist Logic

From Dualism to Double Dialectical Approaches

The dualistic functionality of neurons renders dualistic logical approaches the natural method for engaging with reality. This dualism is effective in operational environments governed by straightforward cause-effect relationships, where the actors control the outcomes of their actions.

Common sense results from the application of dualistic logic to discover practical solutions. These common sense rules function as pre-concepts, serving as guidelines for their users.

The use of the exclusive disjunction “OR” is fundamental in dualistic approaches within operational settings, providing a sense of empowerment by allowing individuals to establish the necessary “OR.”

However, when addressing the adaptive aspects of reality, a dualistic approach is insufficient, as the triadic structure of reality cannot be grasped through a binary model. This structure, consisting of a purpose, an active function, and an energy conservation function, defies binary comprehension.

These three functions are named based on an approach to physics that provides a simple term to define complex functionality. In philosophical terms, the names would be thesis, antithesis, and homeostasis.

The triadic function needs to be grasped as a unit by understanding the supplementary and complementary relationships that allow for emulating nature through the development of binary actions, making the double dialectic of unicist logic work.

To understand this triadic structure with a binary mindset, it’s essential to construct a double dialectical approach in the mind that emulates a specific reality. This model facilitates the emulation of the triadic structure using a double dialectical method, but not its simulation, as the mind, limited to neurons that are either “on” or “off,” cannot handle triadic integration.

Description of Unicist Logic’s Structure

Named unicist logic, this approach allows for defining the unified field of adaptive systems to diagnose and influence them, based on the integration of all elements in adaptive systems by the conjunction “AND.”

  1. The unicist functionalist principle posits that all systems (entities) in the universe consist of a purpose, an active function, and an energy conservation function.
  2. These three fundamentals are assessed in absolute terms for the intrinsic functionality of things and in terms of perception for their extrinsic functionality.
  3. The purpose and the active function are interconnected through the supplementation law.
  4. The active function, oriented towards freedom, outlines the entity’s maximal strategy that promotes growth.
  5. The purpose and the energy conservation function are interconnected through the complementation law.
  6. The energy conservation function, oriented towards security, outlines the entity’s minimal strategy that ensures survival.
  7. The functionality zone of unicist logic delineates the intrinsic concept’s functionality within a system.
  8. The credibility zone of unicist logic identifies the perceived use value of an entity’s extrinsic concept, functioning as a fuzzy set.
  9. The credibility zone of an entity acts as a strange attractor.
  10. The maximal value of the fundamentals integrates and is recognized as an absolute, termed the utopia point, and described as instability zone 1.
  11. Instability zone 2 arises when the value of the fundamentals falls below the level required by the functionality or credibility zones.

Complementation and Supplementation Laws

Adaptive systems became understandable following the discovery that only supplementation and complementation relationships exist in nature. The triadic structure of entities, defined by a purpose, an active function, and an energy conservation function, is integrated by the laws of supplementation and complementation. The active function promotes growth through supplementation, and the energy conservation function promotes survival through complementation.

The relationship between the purpose and the active function is supplementary, indicating a competitive relationship where their intrinsic functionalities are similar but possess different energy conservation elements. This leads to an evolution or devolution conflict, balanced by the energy conservation function to prevent changes in the purpose’s functionality.

Conversely, the relationship between the purpose and the energy conservation function is complementary, meaning this function compensates for the implicit weaknesses of the purpose to counteract the changes promoted by the active function. It should be noted that all evolutionary or devolutionary changes in the real world are triggered by the active functions of entities.

At an operational level, the laws of supplementation and complementation define the unicist binary actions that enable adaptive systems to function. The binary actions initiated by the active functions are termed UBA type A, and those based on the energy conservation function are called UBA type B. Binary action type A creates opportunities by generating value, whereas binary action type B secures results.

Description of the Supplementation and Complementation Laws

The Supplementation Law of Unicist Logic

This law pertains to the relationship between elements that have redundant purposes and active functions but possess a different energy conservation element. One of the elements features a superior energy conservation function that challenges the evolution of reality. Examples include:

  • 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.

The Supplementary Functionality of the Active Function

Supplementation activates the purpose and encourages its evolution. This is why the active function has a supplementary relationship with the purpose, aiming to foster growth. The goal of supplementation is to ensure operation and functionality to achieve a purpose while simultaneously seeking to enhance the purpose by increasing the added value and its field of possibilities.

Operational supplementation guarantees operation and aims to increase added value. Functional supplementation ensures functionality and aims to broaden the purpose’s field of possibilities. Essential supplementation unifies both operational and functional supplementation.

The conflict between supplementation and the purpose it supplements drives evolution if it offers a superior value, implying a higher generation of value. Operational supplementation is defined by the functionality of the initial binary action type A.

The Complementation Law of Unicist Logic

Complementation between two entities implies that one entity possesses what the other lacks, and vice versa. Beyond this condition, there must also be a shared energy conservation function. This means they have a common interest that lays the foundation for satisfying mutual needs. Examples of Complementarity:

  • 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 Complementary Relationship of the Energy Conservation Function:

Complements support the purpose to counteract the entropy produced by action. Complementation enhances the reliability and functionality of a purpose, ensuring operational and functional cooperation.

  • Operational Complementation: Increases reliability and operational cooperation.
  • Functional Complementation: Boosts functionality and functional cooperation.

Complementation must reach a minimum threshold of energy to be effective. It can be asymmetric or symmetric in nature, becoming functional when it constitutes a necessary, not merely convenient, added value. This level is achieved with actual essential complementation.

Evolutionary complementation involves the integration of asymmetric complementation with a negative slope and symmetric complementation. Parasitic complementation naturally generates the involution of the unified field where it is installed.

The Evolution and Involution Laws of Unicist Logic

The use of unicist logic when developing solutions requires fostering evolution while ensuring survival. The objective of finding the algorithm that defines if something is in evolution or involution was to establish a method to diagnose and influence the evolution of solutions.

The principle of least action or the law of economy in nature suggests that in the course of natural processes, systems tend to follow the path or undergo the changes that require the least amount of action or energy.

Therefore, nature never moves from a lower energy-consuming action to a higher level of energy consumption in the same environment. This implies that an evolutionary process is driven by the active function, which is the most energy-consuming function, that is followed by the energy conservation function that ensures results.

The Evolution Law: The Algorithm of Evolution

Evolution implies the existence of an ontological algorithm to achieve a purpose. The first step is putting the purpose into action. This implies a previous step: the understanding of the purpose. Without understanding no action is possible. The second step is then finding a way to optimize the energy; thus, the energy conservation principle is applied.

The algorithm for evolution implies beginning by understanding the purpose, following with the use of the active function, and closing the process with the use of the energy conservation function. When a purpose has been truly understood the development of the redundant functionality of the active function is evident.

The Involution Law: The Algorithm of Involution

Involution begins at the same stage as evolution: understanding the purpose. But people who cannot adapt to an environment naturally chose beginning with the energy conservation function to minimize costs which, based on the law of economy, can never drive towards a higher level of energy consumption by addressing the active function. Thus, the purpose is changed from driving evolution to ensuring survival which degrades the functionality of the entity.

The algorithm of involution begins by understanding the purpose. When the purpose is not understood or not shared, the natural path is minimizing energy by addressing the energy conservation function which naturally drives towards survival actions that degrade the functionality of the entity.


Unicist Double Dialectical Reasoning

The unicist evolutionary approach is based on the discovery that human actions are driven by the concepts they have in their minds, which are triggered by conceptual short-term memory (CSTM).

This approach manages the concepts and fundamentals of processes and is synthesized in the unicist strategy and the unicist logic that emulate the intelligence, organization, and evolution of nature to develop maximal strategies to grow and minimum strategies to ensure results.

It uses abductive, inductive, and deductive reasoning to forecast, produce, and ensure results. Abductive reasoning is used to access the concepts of things and define the possibilities of what can be achieved, inductive reasoning is used to develop destructive tests to confirm the limits of the validity of knowledge, and deductive reasoning is used to develop validation tests and manage the operation.

Double dialectical reasoning allowed developing the unicist artificial intelligence that integrates abductive, inductive, and deductive reasoning to develop logical inferences.

Unicist AI uses the ontogenetic maps of the unified field of the concepts and fundamentals of adaptive functions while learning from the environment through pilot tests.

The Mathematics of the Unicist Logic

The Mathematics of the unicist logic was developed to define the field of the possibilities to influence reality and the probabilities of being successful when doing so.

The unicist mathematical solution is very simple. Considering the three dimensions that underlie a given reality, the integration of the three elements is given by their multiplication. What is being multiplied is:

  • The purpose
  • The active function
  • The energy conservation function

Optimal functionality is considered as 1 (one) and dysfunctionality is considered as 0 (zero).

The credibility zone functions as a fuzzy set. The non-destructive pilot testing, when researching the concept of reality, defines the validity of the credibility/functionality zone. The destructive testing defines the external “limit” of the credibility/functionality zone.

Characteristics of reality are transformed into figures and the resulting figures are retransformed into characteristics.

When analyzing a specific fact, the aesthetic of a specific coat, the credibility zone is given by the category of “coats”. Considering the categorical credibility zone, the perception of the aesthetics of the particular coat should be near 1 (one).

But credibilities and functionalities are continuously moving. There are conjunctural movements, between the “invariables” “security” and “freedom”, and there are structural movements towards “expansion” or “contraction”. The structural movements that occur define the trend of a culture.

“1” (one) must be considered the optimum of credibility or functionality. The optimum is placed at the external limit of the credibility/functionality zone driven by the existing trend. This is the point where the minimum energy is required to adapt to an environment.

Declining environmental trends lead towards contraction. Evolving environmental trends lead toward expansion.

Extreme contraction produces the implosion of reality and extreme expansion produces its explosion.

Unicist Mathematics intended to give an answer to the question of the probabilities to succeed when a particular reality differs significantly from 1 (one).

Differentiation may be caused by three reasons.

  • The active function is not functional enough.
  • The energy conservation is insufficient.
  • The purpose is far away from being fulfilled.

The change of actions (through the active function) depends on the will of the individual to do so and on his success in the process.

The change in the energy conservation function requires a previous change in the action principle that makes the conservation dysfunctional.

The change of the purpose of a reality implies changing both the actions, to make it possible, and the energy conservation, to sustain a different purpose without changing the credibility/functionality zone.

Thus the probability to succeed when a particular reality must be changed to adapt to an environment can be defined as:

P(S) =  Purpose3 * Energy conservation function2 * Active function

This shows how difficult it is to influence an environment when the specific action that is proposed differs from reality.

When the distance between the purpose being proposed and the purpose of the environment is significant, the project is unachievable, because the necessary energy to change the environment is so high that is uneconomical.

When the distance between the energy conservation function of a specific proposal differs significantly from the environment, the cost of influencing reality is extremely high and the possibilities of achieving adequate results are low.

The only function that can be influenced based on affordable costs is the active function. This is why innovations are only possible if the distance to the pre-existing reality is accessible without making structural changes.

The Unicist Research Institute