This initiative aims to develop a causal approach to science that is essential for addressing both biological and artificial adaptive systems, where the root causes need to be known to define and forecast their functionality.

The discovery of the functionalist principles, the unicist ontogenetic logic, and the unicist binary actions that underlie the structure of adaptive entities has led to a shift in science that enables addressing the causality of adaptive systems and environments using unicist ontological research driven by real applications and unicist destructive tests to validate results.

The objective of this project is to introduce the causal approach to science into the public domain and establish a scientific standard to deal with adaptive entities of any kind, whether living beings or artificial entities.

The Causal Approach to Science

The development of a causal approach to science is necessary for addressing both biological and artificial adaptive systems, where understanding root causes is essential to define and forecast their functionality.

The causal approach to science leverages a unicist ontological research method to explore the functionalist principles of adaptive entities through real applications and the use of unicist destructive tests to validate conclusions. It uses unicist ontological reverse engineering to understand how these principles regulate the functionality, dynamics, and evolution of systems. By researching the unicist binary actions and their mathematical model, this approach elucidates how adaptive entities operate.

Traditional empirical approaches rely on observing cause-effect relationships and correlations, which are sufficient for systemic environments but inadequate for adaptive systems. Adaptive systems are governed by dynamic interdependencies of objects and therefore have no variables..

The discovery of the functionalist principles, the unicist ontogenetic logic, and the unicist binary actions that underlie the structure of adaptive entities has led to a paradigm shift in science. This causal approach makes it possible to manage the evolution of adaptive systems by understanding the underlying logic that defines their behavior.

Unicist ontological reverse engineering enables discovering the root causes of adaptive dynamics, while unicist destructive tests validate their functionality. Establishing a causal scientific standard is essential to managing complex, adaptive environments in fields such as biology, economics, technology, and social systems.

The Objective of the Research

These discoveries originated a causal approach to science that intends to be installed as a scientific standard to deal with adaptive environments. The expansion of the frontiers of knowledge has provided access to the causal approach to adaptive systems and environments, making natural, social, economic, technological, and business environments manageable.

The objective of this research is to establish a scientific methodology that allows dealing with adaptive systems and environments, enabling access to the root causes of their functionality and dynamics to predict their evolution.The starting point of the research involves using the approach developed at The Unicist Research Institute, a private research organization that introduced a paradigm shift in science, which now aims to be introduced into the public domain.

Here, you can find the stages of this approach for dealing with adaptive systems, and in the annex, you will find some of the basic, fundamental, and applied research works that enabled access to the root causes of adaptive systems of any kind.

The Research is Based on Real Applications

As adaptive systems are dynamic, research on their functionality needs to be based on real applications and homological application fields. There is no possibility of developing artificial simulations because the context must be real.

The “functionality zones” of adaptive systems are defined by fuzzy sets, which require the use of unicist fuzzy mathematics and the validation of outcomes through unicist destructive tests that start with the non-fuzzy aspects and extend the application field until the outcomes become dysfunctional.

Stages of Research on the Causal Approach to Science

This research will explore the causal approach to science to deal with adaptive systems and environments. The process is rooted in the unicist functionalist approach, emphasizing the understanding of functionality and the management of the dynamics and evolution of adaptive systems.

Stage 1) Understanding the Double Dialectics of Adaptive Systems
Unicist double dialectics explains the functionality, dynamics, and evolution of living beings. It describes the dynamics of the functionality of adaptive systems of any kind. It is based on the double dialectics of the unicist binary actions that make them work. Traditional dialectics describes the functionality of individual tasks. As it is dualistic, it can only describe the functionality of individual actions but cannot address the functionality of adaptive systems as a whole.

Stage 2) Uncovering Functionalist Principles:
The first stage employs unicist ontological reverse engineering to find the root causes of adaptive systems based on their observable unicist binary actions. This method allows for the identification of inherent functionalist principles that govern a system, revealing how the functionalist principles define the causality of an adaptive environment.

Stage 3) Understanding Unicist Ontological Structures:
By applying unicist ontogenetic logic, the unicist ontological structure of systems and their ontogenetic maps that define their functionality will be described. This step is essential to defining the functionality of a system, as it maps out the structure and dynamics that drive adaptive behaviors and evolutionary processes.

Stage 4) Defining Unified Fields:
The functionalist principles discovered form the framework of a system’s unified field, which needs to be addressed to understand and manage the root causes of an entity’s behaviors. This framework provides the integrity of the system’s structure and function, which is essential for managing adaptive systems.

Stage 5) Mathematical Framework:
Utilizing a unicist mathematical approach, the research will manage the fuzzy sets of functionality and the unicist binary actions of adaptive systems. This mathematical framework supports the management of the functionality and credibility zones of adaptive systems, ensuring that their functionality is understood and their evolution can be predicted.

Stage 6) Integration of Know-How and Know-Why:
Recognizing that unicist binary actions represent the know-how, while functionalist principles embody the know-why, the research emphasizes understanding root causes. The balance and interplay between these elements provide a comprehensive understanding of adaptive systems.

Stage 7) Epistemological Testing with Unicist Destructive Tests:
Validating the functionality of systems is accomplished through testing unicist binary actions using unicist destructive tests. These epistemological confirmations require expanding the application of binary actions across adjacent segments until the solution’s limits have been exceeded. Unicist destructive tests measure both the empirical functionality and the validity of the underlying knowledge.

Summary

This causal approach to science creates a structured framework for understanding and managing adaptive systems:

• The unicist binary actions (which drive outcomes) work at the operational level, while the functionalist principles define the underlying causal structure.
• The use of ontological reverse engineering allows to work backward from observable behaviors to uncover the hidden causal structure.
• The combination of a mathematical fuzzy framework with unicist destructive testing ensures that the understanding is not just theoretical but operationally validated.

This aligns with the shift from empirical science to causal science — where science not only explains what happens but why it happens and how it can be systematically used.

Annex: Discoveries That Made Addressing Root Causes Possible

The word “Unicist” derives from the notion of oneness or unity — emphasizing that adaptive systems can only be understood and influenced by grasping the underlying unified field that integrates their dynamics. By understanding and managing this unified field, the unicist approach enables addressing root causes and the effective interaction with adaptive systems and environments, whether biological, social, or technological.

The functionalist approach defines that all adaptive entities of the real world are defined by their functionality as a unified field, their dynamics are developed through unicist binary actions, and their evolution is based on the double dialectical behavior of these binary actions.

The development of a fuzzy set mathematical framework to manage adaptive systems enabled the management of the functionalist principles of functionality and the binary actions of operationality. This enabled the establishment of a causal approach to science to deal with adaptive environments where it is necessary. The empirical approach suffices to deal with non-adaptive environments.

Basic Research

• Unicist Double Dialectics: Introduces a functionalist understanding of how adaptive systems work.
• Ontogenetic Intelligence of Nature: The discovery that nature evolves using a double dialectical approach can be found in the functionality of biochemistry.
• Unicist Ontogenetic Logic: It is an emulation of the intelligence of nature that regulates the functionality, dynamics, and evolution of living beings and adaptive entities of any kind.
• Unicist Evolution Laws: Including the laws of functionality, dynamics, and evolution of adaptive systems.
• Mathematics of Adaptive Systems: To manage the root causes and functionality of adaptive systems, whether in living beings or artificial entities.
• Epistemology of Mathematical Division: To manage unicist binary actions to address the root causes of adaptive systems.
• Unicist Ontology: It defines the nature of things based on their functionality.
• Unicist Ontological Research: To research adaptive systems and environments.
• Unicist Functionalist Principles: These principles manage the unified field of entities and define the functionality of adaptive environments based on their purposes, active functions and energy conservation functions.
• Unicist Binary Actions: These are two synchronized actions that open possibilities and ensure results to make functionalist principles work.
• Functionalist Approach to Science: A pragmatic, structuralist and functionalist approach to adaptive systems and environments integrating the know-how and the know-why of things.
• A Piece of Evidence: Atoms are Adaptive Systems Based on Functionalist Principles and Driven by Unicist Binary Actions

Fundamental Research

• The Unified Field of Physics: Describes the unified field of physics that lies in its functionality rather than at an operational level.
• The Functionality of Atoms: Including the laws of functionality, dynamics, and evolution of adaptive systems.
• The Unified Field of Biology: Describes the unified field of biology that explains the functionality of biological phenomena.
• The Functionality of DNA: Describes the ontogenetic intelligence of DNA based on the unicist binary actions that make it work.
• Institutional Immune Systems: Demonstrates how cultures function as the immune systems of institutions of any kind.
• Unicist Destructive Tests: Explains the epistemological method used to confirm the functionality of adaptive systems, which is necessary to address them by managing their fuzzy functional limits.

The Unicist Research Institute