This document presents a historical progression of human knowledge across three eras that remain complementary today. First, in the nature-dependent prehistoric world, religions provided the knowledge needed to address uncertainty, causality, and the ethical guidance that unified communities. Second, empirical science institutionalized observation, measurement, and experimentation within systemic boundaries, enabling precision, reproducibility, and the technological transformation of society.
Third, the functionalist approach to science introduces the management of causality in adaptive systems with open boundaries. It requires a scientific framework that integrates pragmatism, structuralism, and functionalism to understand unified fields, validate causal functionality, and operate in evolving contexts.
Rather than replacing earlier eras, the functionalist stage clarifies their functional domains: values and meaning in beliefs-based knowledge, systemic control in empirical science, and causal management in adaptive environments. The result is a coherent view of how belief, evidence, and functionality together expand human capability, while assigning each approach its proper scope and method.
Summary
- Humanity has used three complementary modes of knowledge: based on beliefs, empirical, and functionalist.
- Belief-based knowledge offered causal solutions to uncertainties and justice within a superior order, integrating communities and reducing uncertainty in a nature-dependent world.
- Empirical science created systemic domains with defined boundaries, enabling measurement, control, reproducibility, and large-scale technological progress.
- Today’s dominant challenges are adaptive systems with open boundaries, where outcomes depend on feedback and evolution.
- The functionalist approach to science integrates pragmatism, structuralism, and functionalism to research and act within adaptive environments.
- Pragmatism integrates theory and practice through reflection and action.
- Structuralism apprehends unified fields by relating systems to their restricted and wide contexts.
- Functionalism explains emergences through purpose, active function, and energy conservation function, and validates by consequences.
- The three eras coexist: beliefs-based knowledge sustains values and meaning, empirical science governs systemic technologies, and functionalist science manages adaptability and evolution.
1. Introduction
This paper outlines a positive evolution of human knowledge across three eras that remain active and complementary. It describes how religious knowledge enabled survival in a nature-dependent world, how empirical science transformed societies through systemic control and technology, and how the functionalist approach to science addresses causality in adaptive systems.
2. The Era of Nature: Knowledge Grounded in Beliefs
For thousands of years, humanity depended directly on nature. In prehistoric times, the knowledge of communities was grounded in religious beliefs. Religions were the first providers of knowledge to the communities. This knowledge provided the guidance by which people adapted to their environment.
The rains, the harvests, the storms, the illnesses, and the blessings were understood as part of a superior order. Human behavior was explained through rules based on this higher source.
The knowledge grounded in religious beliefs simplified life by placing a higher influence on achievements, allowing action with confidence. Laws of justice ensured community harmony and alignment with a superior order of the world.
In this era, knowledge was functional knowledge influenced by beliefs. It explained why things happened, guided how to act, reduced uncertainty, and integrated communities under a shared belief.
3. The Era of Systemic Science: Empirical Knowledge
Empirical science shifted humanity from adapting to nature toward adapting nature to human needs. Its core was observing, measuring, and reproducing phenomena within defined systems.
When boundaries were open, science closed or modeled them to make behavior measurable and predictable. This enabled precision, reproducibility, and predictive control. It supported engineering, medicine, transportation, communications, mass production, and evidence-based public health.
Benefits introduced: precision and reproducibility, predictive power, technological development, and independence from external authority through replication.
Problems solved: control of natural risks, industrial standardization, scientific medicine.
Societal consequences: economic transformation through industrialization, urbanization, education centered on observation and analysis, a cultural shift from living by nature’s rhythms to shaping the environment.
The Era of Systemic Science created a technology-driven world and established the modern standards of evidence and control in closed or modeled systems.
4. The Era of Functionalist Approach to Science: The Age of Causality
The 4th Industrial Revolution, which introduced adaptability and customer orientation, required addressing causality to deal with adaptive systems and environments. The development of the Unicist Theory of Evolution, based on the discovery of the unicist ontogenetic intelligence, made it possible to manage causality in the real world.
The development of Unicist-DD AI, a double dialectical artificial intelligence that enables managing causality, made the causal approach accessible to everyone.
Therefore, the twenty-first century is the Age of Causality. The dominant challenges involve adaptive systems with open boundaries, where outcomes depend on interactions and continuous evolution. Methods designed for systemic domains are necessary but not sufficient. Managing adaptability requires a scientific approach that addresses causal functionality in real, changing contexts.
The functionalist approach to science provides such a framework by integrating three inseparable pillars: pragmatism, structuralism, and functionalism.
4.1 Pragmatism
Artificial experiments in complex adaptive systems tend to alter the conjunction of elements that integrate them, which distorts behavior. Knowledge must arise from the integration of theory and practice.
- Unicist pragmatism integrates reliable knowledge with experience to define functionality in context.
- It relies on a reflection process of action, reflection, and renewed action to refine understanding through concrete results.
- It uses destructive tests to establish the limits of theoretical knowledge, and non-destructive tests to bring pragmatic understanding into action.
4.2 Structuralism
Complex adaptive systems have open boundaries and are influenced by restricted and wide contexts. A structural approach is necessary to make them reasonable, understandable, and predictable.
- Unicist ontological structuralism apprehends the unified field of a reality by integrating its ontogenetic map with the ontological structures of its contexts.
- The unified field includes drivers, inhibitors, entropy inhibitors, catalysts, and gravitational components that together shape evolution.
4.3 Functionalism
Adaptive systems must be approached through their emergences. A functionalist approach is required to apprehend how the system works and why it evolves as it does.
- Functionality is defined by integrating the purpose implicit in emergences with the active function and the energy conservation function.
- The conceptual structure of a reality defines its ontogenetic map and drives action and evolution.
- Conceptual functionalism is measured by the consequences of actions in the real world. Conceptual structures are fostered, not taught, since they require emulating a specific reality in mind.
4.4 What changes from past eras
- From adapting to nature toward managing adaptability through causality in open systems.
- From closing boundaries to fit methods toward working within open boundaries while maintaining scientific rigor.
- From relying on evidence alone toward evidence plus causal functionality, validated by destructive tests.
5. Complementary Roles of the Three Eras
The three eras coexist and remain necessary. Religious knowledge sustains values, meaning, and community integration. Empirical science governs systemic technologies and closed or modeled systems. Functionalist science manages adaptability by addressing causal functionality in open, evolving contexts. Together they form a layered architecture of knowledge in which each operates where it is functionally superior.
6. Implications for Research and Practice
- Domain clarity: Choose methods according to the domain, systemic or adaptive.
- Method integration: Combine evidence with causal functionality when working in evolving contexts.
- Validation logic: Use replication in systemic domains, and reflection with destructive and non-destructive tests in adaptive domains.
- Education: Preserve strengths of empirical training while adding conceptual emulation and reflection-driven learning for complexity.
7. Limitations and Scope
This framework does not replace empirical science or religious knowledge. It delimits their functional domains and clarifies when causal management of adaptive systems is required. It does not argue ideological positions; it assigns methods to problems according to their structure and boundaries.
8. Conclusion
Human knowledge expanded from beliefs to systemic control, to causal functionality in adaptive environments. The Age of Causality requires a scientific approach that manages causality in open systems. Pragmatism, structuralism, and functionalism together provide the vehicle for acting reliably where boundaries evolve and results depend on interactions. The three eras remain complementary, each empowering the others within its proper domain.
Annex
The Basic Laws Governing the Functionality of Adaptive Systems and Environments
Functionality Laws
The functionality of an adaptive system is addressed through the use of functionality laws. It is managed by defining proactive actions and using unicist functionalist principles, which specify the unicist binary actions required to achieve the defined results.
The Law of Functionality
The Law of Functionality asserts that any adaptive entity, whether a living being or an artificial system, is driven by a functionalist principle. This principle comprises a purpose that defines its meaning, an active function that promotes growth, and an energy conservation function that ensures survival. The functionality of this principle is influenced by both the entity’s restricted and wide contexts.
The Law of Binary Actions
The law of binary actions asserts that every action in an adaptive environment generates a reaction. The set of unicist binary actions generates no reaction because the reaction to the first action creates a need that makes the second action necessary. This algorithm uses the rules of unicist logic.
The Law of Actions
The law of actions asserts that the concepts of things define their functionalist principles,, and the concepts people hold in their minds work as behavioral objects that drive their actions. When these concepts are conscious, they steer proactive actions; when unconscious, they trigger automated reactions.
Dynamics Laws
The dynamic of an adaptive system defines its adaptability. It is addressed by developing supplementary actions that drive the active principle of a function, and complementary actions that provide the energy conservation function, supporting the purpose of the function and integrated by the necessary timing of actions to ensure their effectiveness.
The Law of Complementation
The law of complementation asserts that the functionality of an entity’s purpose is achieved through the active function of another entity, and vice versa, while a shared energy conservation function establishes a unified field. Complementation occurs only when the purpose is also part of a supplementation process that threatens its stability.
The Law of Supplementation
The law of supplementation states that in an evolutionary context, the active function of an entity competes with the purpose by striving for a higher level of functionality. This is characterized by redundant purposes and active functions. Meanwhile, the energy conservation function of the competing entity fosters superior value by featuring an advanced energy conservation function that challenges the progression of reality.
The Law of Timing
The law of timing asserts that the dynamics of adaptive systems depend on the timing of the supplementary and complementary actions, which must possess the necessary acceleration to generate impact and speed to ensure their synchronicity.
Evolution Laws
The evolution of an adaptive system is addressed by using the evolution laws. It is managed by ensuring the natural evolutionary cycle, beginning with the application of the law of evolution, continuing with the law of involution, and integrated by the law of possibilities that fosters the next stage.
The Law of Evolution
The law of evolution asserts that individuals, groups, or cultures evolve when they start by developing the binary action of the active function of the functionalist principle of an entity and then develop the synchronized binary action of the energy conservation function to achieve the targeted purpose.
The Law of Involution
The law of involution states that individuals, groups, or cultures enter a state of involution when they initiate the development of the binary actions of the energy conservation function of an entity’s functionalist principle because they lack the necessary energy to undertake the binary actions demanded by the active function.
The Law of the Double Pendulum
The behavior of adaptive systems oscillates, with varying frequency, between expansion and contraction, and simultaneously between security and freedom, which drive the evolution of a system.
The Catalyzation Law
The extrinsic functionality of any adaptive system is influenced by external catalysts that are part of the restricted context, which open possibilities and accelerate processes. Processes are inhibited when these external catalysts are disregarded or if their energy level is insufficient.
The Law of Possibilities
The law of possibilities asserts that a possibility exists when there is an “empty” space based on a latent need, a source of potential energy that can be used to satisfy this need, and a way to release the potential energy.
The Unicist Research Institute