Unicist binary actions are the natural interactions in adaptive environments, and any proactive action undertaken in systemic environments must also be binary. In all cases, they are influential actions that aim at generating value. Every influential action naturally generates a reaction from the environment. This explains why 80% of simple actions in business fail to achieve their planned results. Univocal actions are only successful when they satisfy an explicit demand.
Univocal actions are the natural tools used to persuade people through a reasonable approach that drives understanding of what is being done. Binary actions are, in a sense, the opposite. They do not seek persuasion. The first action provokes people, and the second action complements the reaction that the provocation generates and closes the deal with the environment.
That is why binary actions require provoking resonance in the environment, which implies that the concept that underlies the environment is being matched. When a concept is matched, the environment “buys the idea immediately” and generates logical objections to ensure functionality. These do not include “yes but” objections, which are proof that an action produced no resonance.
While persuasion is based on a dualistic logic grounded in the exclusive disjunction “or,” provocation works based on the integration of all elements through the conjunction “and.” This is why binary actions have a natural algorithm to maximize value generation and growth while minimizing costs. This applies to any field of action, as illustrated in the examples in the Annex.
Unicist Binary Actions in Human Behavior
The first action opens possibilities through a provocation that aims to satisfy the concepts the counterpart has in mind. If it addresses the concept, a resonant reaction is produced in the environment and a functional objection appears. This objection reflects the mind of the counterpart and is a confirmed sign of interest. This makes a second action necessary to complement the objection and the needs implicit in it, producing the outcome that is being sought.
In more detail, the first action is a supplementary action that competes with the purpose of the activity, which is why it provokes the environment. The second action is a complementary action that complements both the purpose and the reactions produced by the first action, without generating further reactions, because its delivery has been demanded. This means that the second action establishes a transitory systemic environment that seeks no change.
There are two types of binary actions that require different algorithms, depending on the magnitude of the change they introduce. Large changes are those that increase the level of freedom and responsibility of the participants; they require the use of a catalyst that opens possibilities. Medium changes are those that increase the level of security of the participants and do not require a catalyst to be managed.
The Mathematics of the Binary Actions Algorithm
Binary actions include:
- A supplementary function (UBAa) that generates value and a reaction.
- A complementary function (UBAb) that ensures a positive outcome.
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.
The Binary Actions Algorithm of the DuPont Method
A well-known business example of unicist binary action mathematics is the DuPont Method, developed in 1914 by Donaldson Brown. The DuPont Method is a financial analysis framework that integrates sales, investments, and profits into a single formula to assess Return on Equity (ROE).
This method dissects ROE into profit margin, asset turnover, and financial leverage, helping businesses analyze profitability, efficiency, and financial performance.
The DuPont Method reflects the mathematics of binary actions by integrating the unified field of financial performance.
The Binary Actions Algorithm Applied in Social Media
In the world of social media, resonance testing is fully automated and applied to every single post. However, the “resonance” these algorithms look for is different from the Unicist resonance discussed here.
Social media platforms such as TikTok, Instagram, LinkedIn, and X function as automated resonance labs. The following describes how the algorithm works and how it contrasts with a functionalist strategic approach.
The Automated Batch Testing Process
The moment a post is published, the algorithm begins an automated, three-stage resonance test.
Stage 1: The Initial Sample. The post is shown to a very small, high-probability group, approximately 1 to 5% of followers or users with very specific interests. The algorithm is looking for early velocity.
Stage 2: Signal Analysis. The system monitors micro-interactions such as whether users watch to the end, pause, save, or share the content. Saves and shares are the strongest resonance signals because they imply the user wants to keep or endorse the concept.
Stage 3: The Expansion Loop. If the initial sample engages at a rate higher than the account’s average, the algorithm expands distribution to a larger lookalike segment. If it fails, the post is dampened and stops appearing in feeds.
The Binary Actions of Generative AI
The intrinsic operation of Generative AI can be understood through a binary action structure typical of correlational systems. The first action consists of identifying correlations that can function as benchmarks, opening a space of plausible meanings based on prior patterns. This action expands possibilities without defining functional identity.
The second action validates these correlations by suppressing contradictions, selecting those patterns that remain internally coherent within the context. This complementary action stabilizes the response by avoiding inconsistency, not by confirming real-world functionality. Together, these binary actions ensure coherence and fluency, but not causality.
The outcome is a consistent explanation that may resonate conceptually, yet remains probabilistic and requires external validation to confirm its effectiveness.
The Algorithm of Unicist DD AI
Any artificial intelligence operates based on an algorithm that defines its functionality. The algorithm of Unicist DD AI was developed to manage adaptive systems and adaptive actions within systemic environments. It is grounded in the structure and rules of unicist ontogenetic logic and double dialectics.
The initial binary action (UBAa) is based on:
- the ontogenetic logical structure, and
- the information contained in the unicist research library, which constitutes its long-term memory.
This first action enables the definition of extrinsic functionalist principles, which identify the root causes of functionality. These principles do not prescribe operations; instead, they generate a demand for concrete action.
That demand is fulfilled by the second binary action (UBAb), which uses the rules of double dialectics to develop the binary actions that manage those roots in order to deliver sustainable value.
The working memory of Unicist DD AI is structured by:
- the laws of functionality,
- the laws of dynamics, and
- the laws of evolution
- the rules of unicist ontogenetic logic.
This process emulates, on one hand, the intelligence of nature, and on the other hand, human conscious reasoning. Since language is the code of conscious reasoning, the system uses Generative AI as a linguistic engine, providing the reasoning code that enables users to apply Unicist DD AI to the development of solutions in technological, social, economic, and business environments.
The Use of Destructive Tests
Destructive tests are what make binary actions possible. They validate the functionality of the underlying knowledge and its operation. The first stage uses pilot tests to measure the functionality of the binary actions. The second stage extends their use to adjacent fields in the environment until they fail, thereby confirming their scope of reliability. Destructive tests also provide feedback to improve processes and make them more effective.
Synthesis
Binary actions consist of two synchronized actions designed to ensure results in adaptive environments and to develop proactive actions in systemic environments. The Binary Actions Algorithm is part of the functionalist approach. It encompasses the definition of actions based on functionalist principles, their pilot testing to confirm functionality, and their destructive testing to establish the limits of that functionality.
Binary actions are based on the use of double dialectics, which implies that the functional reaction to the first action is complemented by the second action to ensure results. This approach ensures the effectiveness of actions in adaptive environments and of proactive actions intended to influence systemic systems.
Annex: Examples of Binary Actions in Everyday Life
The Binary Action of an Airplane
The purpose of flying an airplane can be considered to move from one airport to another. The active function is given by their propulsion and the energy conservation function is given by the lift provided by the wings. The binary actions to make an airplane fly begin by producing the propulsion that generates the necessary speed of the airflow on the wings of the airplane to generate the lift.
The Binary Action of an Electric Motor
The purpose of an electric motor is to convert electrical energy into mechanical energy. DC motors and AC motors are based on the same essential principles that define their triadic structure. Their active function is based on transforming electrical energy into magnetic energy. The energy conservation function transforms magnetic energy into mechanical energy. The binary actions of the process are, on the one hand, the transformation of electrical energy into magnetic energy and, on the other hand, the transformation of the magnetic force into mechanical energy. These processes happen within the rotor and the stator of an electric motor.
The Binary Action of Bicycling
The purpose of riding a bicycle is to travel from one place to another. The active function of riding of bicycles is given by the actions on the pedals while the body of the rider is the energy conservation function that sustains the balance to ensure their functionality. The binary actions to run a bicycle begin by producing propulsion to be able to balance on it.
The Binary Action of Leadership
The purpose of leadership is to ensure the authority of a leader by driving people toward the achievement of something. It applies to all kinds of leadership, whether they are in familiar, social, or business environments.
The active function is given by the participation of the members of a group who aim at achieving their goals while they challenge authority.
The energy conservation function is based on the non-exerted power the authority has to sustain the functionality of the participation and the achievement of goals. The binary actions are, on the one hand, the participative activities
between the leader and the members and, on the other hand, the existence of the necessary power to influence people without needing to exert it.
The Binary Action of Relationship Building
The purpose of relationship building is to establish complementation between two or more people. This applies to all types of relationships, whether they are familiar, personal, business, or social relationships.
The active function of relationship building is the demonstration of the existence of a functional value, which means that the participation of the person who is building a relationship is necessary. The energy conservation function is the existence of a personal common space that can be shared.
The binary actions of the process are, on the one hand, the demonstration of the value that is being added and, on the other hand, the finding of a personal common goal that integrates the participants.
The Binary Action of Object-Oriented Programming
Each program has its purpose. The methods included in the program, based on their purpose, define the behavior of an object and constitute the active function of the program.
On the other hand, the energy conservation function is defined by the functionality of the object, which might or not be polymorphic.
The use of binary actions requires approaching objects beginning with the formulation and programming of the methods, based on the purpose, and continuing with the definition of the polymorphism of the objects. This process needs to be recycled until the functionality of the system has been achieved.
The Binary Action of Diplomacy
The purpose of diplomacy is to establish a context that enables cooperation in a competitive environment. Diplomacy applies to any field of activity, whether it is a personal, familial, political, or business activity. The precondition of diplomacy is the existence of a need for cooperation among the competing parties.
The active function is based on the dissuasion power of the party that is initiating a diplomatic approach to others. Dissuasion power makes diplomacy functional.
The energy conservation function is given by the competitive capacity, which is based on the potential energy of the participants. The binary actions are based on the demonstration of the dissuasion power that defines the influence and on the demonstration of the execution-power to build a cooperative framework.
The Unicist Research Institute