Artificial intelligence has been correlation-driven, which hindered the management of causality. This was solved by the creation of Unicist-DD AI, which integrates Unicist AI and Generative AI and is based on an artificial conscious reasoning engine that emulates human functional intelligence, long-term memory, and working memory. This breakthrough enables the understanding of causality and the management of the root causes underlying the functionality of the real world.

Unicist DD AI is a double dialectical intelligence that emulates conscious reasoning processes to manage the causality of adaptive systems. It is based on the discovery that language is the code for conscious reasoning. Unicist DD AI integrates Unicist AI, based on unicist ontogenetic logic and the laws of evolution, with Generative AI, which transforms language into reasoning structures.

This integration enabled the development of an artificial conscious reasoning engine that mirrors the structure of human reasoning, including functional intelligence, long-term memory, and working memory. Unlike traditional AI, which relies on correlations, Unicist DD AI enables a causal approach to the real world, making it possible to understand and influence the root causes that drive the functionality of adaptive systems and environments.

You can access the discoveries behind Unicist DD AI at:

Ontogenetic Intelligence of Nature: Provides the structure and functionality of the double dialectical intelligence of nature, which explains the functionality, dynamics, and evolution of adaptive entities in nature.

Unicist Ontology of Consciousness: Provides the ontological structure that defines the roots of conscious reasoning processes and enabled the development of an artificial conscious reasoning engine.

Unicist Ontogenetic Logic: Provides the logical structure of adaptive systems of any kind, whether living beings or artificial entities, including the laws of complementation and supplementation.

The Origin of Unicist Binary Actions in Physics: Provides proof of the universality of binary actions and the rules of double dialectics that govern their functionality.

Content

Unicist Artificial Conscious Reasoning

The Unicist Artificial Conscious Reasoning Engine

Unicist-DD AI is based on an artificial conscious reasoning engine that enables the understanding of the causality of adaptive systems and environments. It supports unicist conceptual designers in developing solutions that address the root causes of their functionality. The reasoning engine emulates the functionality of the human brain, which is integrated by three core functions:

Functional intelligence
Long-term memory, composed of episodic, procedural, and semantic memory
Working memory, which drives the conscious reasoning process

Unicist-DD AI is composed of:

Unicist AI, which is based on the rules of unicist ontogenetic logic. This logic allows for addressing adaptive systems and environments, including the laws governing their evolution.
Generative AI, which enables the development of conscious knowledge. Since language is the code of conscious reasoning, Generative AI empowers reasoning processes based on unicist double dialectics. This dialectical structure defines the functionality of adaptive systems of any kind, whether living beings or artificial entities, and is managed through the rules of unicist ontogenetic logic.
The Unicist Research Library, which integrates functionalist principles, knowledge objects, and processes. These are processed using the rules of unicist ontogenetic logic.
The Instructor of the Generative AI API, which establishes the synchronicity of conscious reasoning processes and defines the interpretation rules needed to address the double dialectics that govern the functionality of entities.

Thus, the artificial conscious reasoning engine develops solutions that address the causality of adaptive entities of any kind. It enables the creation of solutions that are validated through unicist pilot tests (to confirm functionality) and unicist destructive tests (to define the limits of validity).

The Functionality of Human Conscious Reasoning

Unicist Functionality of Consciousness

The Functionality of Consciousness is defined as the capacity of individuals to deal with reality in a way that is structurally and functionally aligned with its nature. It is not merely awareness, but the active emulation of reality in the human mind to guide decisions and actions that lead to reliable outcomes.

This research on the functionality of consciousness was led by Peter Belohlavek at The Unicist Research Institute and spanned over 35 years. It included large-scale experiments to study collective intelligence, as well as the long-term monitoring of the evolution of 22 individuals over more than 20 years to investigate conscious intelligence and conscious reasoning. The conclusions were published in the book “Development of Consciousness Through Actions” in 2011, which is part of the Unicist Research Library.

The need for consciousness is determined by the complexity of the environment. In simple or repetitive settings, instinctive or intuitive responses are often sufficient. However, when individuals operate in complex adaptive systems — such as social, economic, or technological environments — conscious reasoning becomes essential to avoid misinterpretation and to ensure functional effectiveness.

Purpose of Consciousness (Operational Level):
To minimize the difference between an individual’s mental representation of reality and the actual reality.

Human beings do not interact directly with reality. Instead, they engage with their mental emulation of it,shaped by perception, beliefs, and reasoning. The unicist approach maintains that this emulation does not need to be “true” in an absolute sense but must be functionally valid and aligned with the causal structure of the environment being managed.

However, every emulation process carries the risk of constructing a parallel reality. These are mental frameworks that drift away from real facts, often driven by wishful thinking, ideological rigidity, or conceptual errors. In adaptive systems, where interdependencies are dynamic and evolving, even slight deviations can lead to failure.

In this context, consciousness operates as a general system — a structured mechanism that enables individuals to:

Emulate reality based on its underlying functionality rather than operationality,
Avoid the inclusion of non-existent elements, such as unfounded assumptions or personal biases,
Adaptively manage complexity, ensuring coherence with the evolving nature of real-world systems.

Consciousness, therefore, is not about reflecting on what one sees — it is about understanding what one is managing.

In the unicist ontogenetic logic, this implies that conscious reasoning requires the use of unicist double dialectics, which emulate the natural behavior of adaptive systems. It demands the integration of language, logical structure, and unicist destructive tests that validate the limits of validity of what one is doing. Conscious reasoning must integrate:

Language as the code for conscious reasoning,
Logical structures that model functionality,
And destructive tests that aim define the limits of the functionality of things.

This disciplined emulation of reality is what allows consciousness to operate effectively in adapitve, evolving environments, where functionality must precede operationality, and where decisions must be validated by results.

The Ontogenetic Map of Discrimination Power

The ontogenetic map of discrimination power defines the structural steps required to truly discriminate reality. This map is not designed to teach what has not been experienced — it provides a rational description of inherently fuzzy concepts that must first be apprehended through real-life experiences to be meaningfully applied.

1. Discovering the Differentiated Outside as a Purpose

The purpose of discrimination power is to construct a functional complementation in the mind, one that mirrors what will eventually be enacted in the external environment. This mental complementation is the driver of the discrimination process, as it orients the individual toward understanding what is functionally “other” in order to engage with it adaptively.

This purpose is activated by the perception of the outside, which must be fallacy-free and grounded in the actual influence the individual can exert on the environment. Discrimination can only begin when:

The need to build complementation is present, and
The perception of external reality is not distorted by internal biases.

Thus, discrimination begins as a solution to a complementation conflict, a structural tension between self and other that must be resolved for growth or evolution to occur.

If this conflict is not faced, discrimination degrades into projection, resulting in parallel realities where the individual avoids entering real conflict and bypasses actual adaptation.

2. Timing: The Maximal Strategy for Discrimination Power

The active function of discrimination is timing, which serves to synchronize the individual with the environment. Effective timing integrates:

Acceleration: the power to influence reality,
Speed: the internal readiness to act,
Synchronicity: the alignment with external rhythms and trends.
Acceleration depends on external time (the dynamics of the context),
Synchronicity aligns with universal time (macro-trends and cycles),
Speed is governed by internal time (an individual’s readiness and reflexes).

Proper timing is essential for making a relevant impact without becoming outpaced or obsolete.

3. Differentiation of the Inside: The Minimum Strategy

The minimum strategy is anchored in the perception of the inside, which defines the mental mirror through which reality is interpreted. This involves building a reliable internal reference to engage the external world effectively.

At this level:

Personal complementation becomes key — integrating strategic intelligence with the logical type of thought,
It requires a balance of contractive and expansive intelligences, ensuring both structure and openness in interpretation,
The aim is to apprehend reality in its unified adaptability, not as fragmented elements.

4. The Unicist Ontology of Personal Will

The will functions as the entropy-inhibiting element of the minimum strategy — often taken for granted, but essential in any conscious approach to reality.

True will emerges from:

The need to achieve an ideal, which demands real-world influence,
The assumption of responsibility to act as a role model within the function or role the individual seeks to fulfill,
The energy focused on the outside, without which reality cannot be effectively apprehended.

Without sufficient will, discrimination cannot take place. It is will that sustains the inner integration required for perceiving the outside without distortion.

Conclusion

The discrimination power of an individual is not a spontaneous gift. It is the result of a structured evolution — one that involves:

Facing complementation conflicts,
Achieving synchronicity through timing,
Integrating inner frameworks through differentiated self-perception,
And sustaining the entire process with focused will.

This ontogenetic map is a guide to consciousness, essential for operating in adaptive environments where the capacity to distinguish what is real, what is complementary, and what is influential determines the possibility of growth and transformation.

Procedure to Define the Necessary Discrimination Power

Discrimination power is the ability to consciously differentiate reality to influence and adapt within a complex environment. This procedure outlines the steps needed to ensure the functionality and synchronicity of such power.

Step 1: Define the Unified Field of Reality to be Differentiated

This field includes all interrelated elements that need to be perceived as a whole before breaking them down into differentiated, manageable parts.

Identify the system or environment to be addressed (e.g., a market, social group, institution, technology).
Understand its functional purpose, its evolution, and the interdependencies of its components.

The unified field is not an abstraction; it is a structured system with dynamic relationships and trends.

Step 2: Define the Aspects to be Perceived in Their Functionality

Identify the essential drivers, constraints, and outcomes of the environment.
Determine what is merely operational and what is structural.
Discard fallacies and subjective projections.

Step 3: Define the Influence You Have on the Environment

Analyze your positioning in the system, are you central or marginal?
Identify your value-adding roles.
Understand the limits of your influence, as overestimating it leads to building a parallel reality.

Step 4: Define the Functional Complementation to Be Achieved

Discrimination begins where complementation is needed.

Determine which aspects of the system you must complement to make it functionally viable.
Identify the functional conflict you need to solve to establish complementation.
Define the role you must play to integrate yourself into the external system effectively.

Step 5: Define the Actions That Must Work in Synchronicity

Enumerate the unicist binary actions (complementary steps) that are required to influence the system.
Identify which actions must be simultaneous, which must be sequential, and which must adapt to feedback.

Step 6: Define the Necessary Acceleration and Critical Mass

Acceleration refers to your capacity to generate influence in the timeframe dictated by the environment.
Critical mass is the minimum force needed for your action to change the status quo.
Determine if your strategy will produce a catalytic effect or simply a reaction.

Step 7: Define the Speed Required to Be Synchronic

Speed is your internal capacity to process and act in alignment with the external system.
Define whether your current mental, emotional, and operational speed are sufficient.
Identify if there are internal bottlenecks (e.g., doubts, distractions) that need to be addressed.

Step 8: Confirm the Potential for Synchronicity

Map your acceleration, speed, and timing against the system’s rhythms.
Confirm whether you are in a position to resonate with the environment.
If not, reassess your timing, speed, or positioning.

Step 9: Approach Self-Perception

Analyze how you perceive yourself in the context of the system.
Identify your mental model for interpreting reality: is it structurally valid or biased?
Define the mirror through which you are observing the external world.

Step 10: Define What Aspects of Yourself Need Complementation

Identify personal limitations that prevent apprehending the environment objectively.
Determine what needs to be learned, unlearned, or complemented.
Establish which parts of your reasoning, belief system, or behaviors need transformation.

Step 11: Confirm Your Will to Expand Consciousness

Verify if you are willing to invest the energy to go beyond instinct or intuition.
Confirm that you accept the responsibility of dealing with the reality you intend to influence.
Acknowledge that this will require stepping into conflict and abandoning comfort zones.

Step 12: Confirm the Functionality of Your Inner Perception

Validate whether your inner perception aligns with the needs of the external world.
Ensure you are aware of — and willing to address — internal conflicts (e.g., contradictions, inertia).
Assess whether your self-image and intentions support your role in the system.

Step 13: Conduct Destructive and Non-Destructive Pilot Tests

Perform destructive pilot tests: search for contexts or situations where your discrimination would fail — to define the limits of your influence.
Perform non-destructive pilot tests: apply your discrimination power in controlled environments to confirm its functionality.
Refine your understanding based on the feedback from these tests.

Conclusion

This step-by-step process defines a conscious path to develop and validate the necessary discrimination power for managing adaptive environments. It is not a theoretical exercise — it demands real-world interaction, emotional involvement, and structural feedback to ensure it is not just a projection, but a functional capability.

The Unicist Ontogenetic Map of Consciousness

Consciousness is not a static state but a process. It enables individuals to apprehend the essential functionality of reality, which is required to influence adaptive environments. Consciousness implies the ability to discriminate, introject, and operate upon a reality using the human capability called ontointelligence, the integration of ethical intelligence, strategic intelligence, and logical types of thought.

The Unicist Ontology of Consciousness

There are three levels of consciousness, functionally homologous to high, medium, and low levels. Consciousness can only be evaluated retrospectively—after actions have been performed and their outcomes analyzed.

1. High-Level Consciousness

Evident when dealing with adaptive systems, where results align with planned outcomes.
Requires the capacity to apprehend and operate on the structural causality of complex environments.
Indicates the existence of a true conscious process.

2. Medium-Level Consciousness

Observed in systemic systems, where outcomes occur within the range of operational plans.
Based on awareness of methods, rules, and procedures.
Consciousness is limited to what is known and standardized.

3. Low-Level Consciousness

Present when a significant gap exists between intentions and results.
Reflects a lack of alignment between internal emulation and external reality.
May stem from biases, insufficient understanding, or inappropriate timing.

Zero Consciousness: The Ontology of Lazy Minds

There are individuals for whom the development of consciousness is structurally inhibited. These “lazy minds” construct parallel realities based on pre-concepts, sustained by self-generated fallacies. Their beliefs replace the functional emulation of reality.

Examples include addicts, fundamentalists, individuals with absolute ideologies, or those who are marginal in a system.
Conscious reasoning is impossible without personal power — the internal force to assume responsibility and influence reality.

The Process of Consciousness Building

Consciousness begins with the goal of discriminating the outside from the inside. This requires managing timing, integrating experiences, and operating within feasible boundaries.

Without a clearly defined and possible goal, the process becomes a utopia.

The Ontogenetic Structure of Consciousness

1. The Active Function: Assimilation of Reality

Accessing consciousness begins with introjecting the chosen reality. This requires emulating the operational and essential structure of that reality in the mind.

Maximal Strategy: Operational Modeling

Requires complete control over the operational aspects.
Without operational management, no conscious process is possible.
Demands experience-based knowledge and an integrated understanding of procedures.

Minimum Strategy: Modeling the Nature of Reality

Involves constructing the ontogenetic algorithm of a reality.
Requires conceptual and synthetic thinking.
The inability to build this model inhibits consciousness.

Emulation is only valid if supported by ontological benchmarks that confirm the functional equivalence between mental models and external reality.

2. The Energy Conservation Function: Ontointelligence

Conscious reasoning is highly energy-consuming. The energy conservation function ensures that mental resources are used efficiently while maintaining structural integrity.

a) Ethical Intelligence (Purpose of Ontointelligence)

Provides focus, inner-outer complementation, and value-adding guidance.
Requires expansive ethical intelligence to manage integrative processes.
Contractive ethical intelligence inhibits this process.

b) Expansive Strategic Intelligence (Active Function)

Allows managing conflicts through complementation rather than opposition.
Enables the perception of reality as a unified field.
Uses innovation, negotiation, and complementation conflicts as catalysts for evolution.

c) Unicist Thinking (Entropy Inhibitor)

Provides the double dialectical structure required to emulate adaptive systems.
Integrates functional thinking with appropriate logical types of thought.
Prevents the fragmentation of reality and ensures unified field comprehension.

Without unicist thinking, the ability to grasp the ontological structure of adaptive systems is lost, leading to arbitrary simplifications and failure in complex contexts.

Conclusion

The building of consciousness is a stepwise, energetic process. It requires:

Defining feasible objectives,
Constructing accurate operational and essential models of reality,
Engaging expansive ethical and strategic intelligence,
And integrating double dialectical reasoning through unicist thinking.

Without these components, individuals are either trapped in parallel realities or limited to reactive behavior, unable to engage with or adapt to complex systems.

Consciousness is the gateway to managing adaptive environments, and its development is both the beginning and the end of any intentional evolution.

The Stages of the Consciousness Building Process

Consciousness building is an intentional, step-by-step process that allows individuals to engage with adaptive environments in a way that is structurally, functionally, and ethically aligned with reality. It transforms perception into effective action by enabling the emulation of a unified field and the development of causally valid strategies.

1. Define the Reality to Be Approached Consciously

Select a specific environment or situation (e.g., a market, a conflict, an institution) that requires conscious engagement.
The selected reality must be complex and adaptive, requiring an understanding of both operational and ontological aspects.

2. Define the Synchronicity That Has to Be Achieved

Identify the external timing of the reality: trends, dynamics, and cycles that govern its evolution.
Define the internal speed and acceleration you must develop to act synchronously.
Confirm whether your current rhythm enables resonance with the environment.

3. Define the Personal Complementation You Need to Build

Determine which aspects of your strategic intelligence, logical thinking, and emotional management require reinforcement or complementation.
Identify personal biases or belief systems that may distort perception.
Define the mental framework required to engage effectively with the selected reality.

4. Define the External Complementation That Needs to Be Built

Identify external roles, individuals, or systems you must complement to fulfill your purpose in the reality.
Understand which functional relationships must be developed (e.g., alliances, dependencies, synergies).
Recognize the conflicts of complementation that must be managed to create influence.

5. Define a Homologous Reality in Which You Are Fully Conscious

Select a reference environment where you have already operated with high consciousness and functional results.
Analyze the structures, decision processes, and mental models used.
Use this experience to define structural homologies and leverage it as a conceptual benchmark.

6. Define the Operational Model of the Unified Field

Map the key operational elements (roles, functions, processes, variables) of the target reality.
Define how these elements interact dynamically and what indicators confirm proper functioning.
This step requires full control over the dynamics of the system.

7. Define the Ontogenetic Maps of the Model of the Unified Field

Develop the ontogenetic maps (evolutionary sequences) of the selected reality.
Identify the conceptual structure (purpose, active function, energy conservation function) of each core element.
This model reveals the essential causality behind the system’s evolution.

8. Emulate the Unified Field

Integrate both the operational model and ontogenetic map into a unified mental emulation of the reality.
Confirm that this mental model enables predictive and adaptive capacity.
Validate the functionality of emulation by verifying consistency across operational and ontological layers.

9. Define the Ethical Intelligence-Driven Aspects to Be Considered

Identify which type of ethical intelligence (value-adding, survival, earned value, added value, etc.) is required to function within the selected environment.
Define what focus and values must govern your decisions and behavior.
Ethical intelligence is the entropy inhibitor that sustains the entire process.

10. Define the Expansive Strategic Intelligence That Is Functional

Determine the type of expansive strategic intelligence you must deploy (e.g., innovation-focused, conflict-solving, negotiation-based).
Confirm your capacity to manage complementation conflicts that arise in adaptive environments.
Strategic intelligence governs your response to obstacles and evolution needs.

11. Define the Double Dialectics That Needs to Be Managed

Identify the binary actions that govern the dynamics of the reality.
Structure the double dialectics: one dialectic managing the expansion (active function) and the other the contraction (energy conservation function).
Emulate the natural evolutionary behavior of the system based on these dialectics.

12. Confirm the Functionality of the Ethical Intelligence

Validate whether your ethical drivers align with the needs of the environment.
Ensure your focus is not self-centered, but on contributing to the reality being managed.
Without the proper ethical intelligence, your conscious process will lose structural alignment and fall into individualistic distortion.

13. Develop Destructive and Non-Destructive Tests of the Process

Unicist Destructive Tests: Apply the conscious model to contexts where it might fail to identify its boundaries and limitations.
Non-Destructive Tests: Validate the model in real-life scenarios where functional feedback confirms the emulation’s accuracy.
Refine your model based on what fails and what works, using failures as structural feedback.

Conclusion

The process of building consciousness is both a journey of self-transformation and a methodical development of structural understanding. Each stage integrates internal and external perspectives, ensuring that perception, reasoning, and action are functionally unified.

Without this rigorous and evolutionary process, actions remain reactive, decisions remain subjective, and outcomes fall short of what conscious reasoning can achieve.

Consciousness at an Operational Level

Consciousness, at an operational level, involves the intentional effort to engage with reality based on a purpose that drives the reasoning process. It is not static, but rather the result of a dynamic evolution governed by the ontogenetic rules of maturity. These rules imply that higher levels of consciousness can only be achieved when lower levels have been integrated.

The Unicist Ontology of Consciousness

The development of operational consciousness is driven by four fundamental motivational drivers. These drivers shape the individual’s approach to reality, and determine their discrimination power — that is, their capacity to perceive, emulate, and act upon the unified field of the environment.

The four segments that define an individual’s operational approach to consciousness are:

Need-driven
Will-driven
Value-adding-driven
Aesthetics-driven

These segments are accumulative: each level integrates and transcends the capabilities of the preceding one, moving from reactive necessity to purposeful harmony with the environment.

1. Need-Driven Segment

Entry Point to Conscious Reasoning

Individuals in this segment approach consciousness because they face an unsolved problem that cannot be addressed using habitual, intuitive, or systemic methods.
They lack the personal complementation needed to solve the issue due to gaps in their types of intelligence or logical thinking structures.
Their process is driven by expansive strategic intelligence, which allows them to begin building a mental emulation of the unified field.

Discrimination Power:
Limited by the perception of the specific problem to be solved. Their consciousness is problem-centric, reactive, and externally motivated.

2. Will-Driven Segment

Rational Conscious Intention

These individuals enter consciousness based on a self-chosen ideal that defines a role they aim to assume within the environment.
It is a volitional entry into the conscious domain — driven by a rational decision rather than necessity.
They are capable of constructing a double dialectical model of reality, enabling them to apprehend the underlying logic of the unified field.

Discrimination Power:
Focused on the specific role they intend to fulfill. While their approach is structural and strategic, it remains role-bound.

3. Value-Adding Driven Segment

Functional Purpose Orientation

These individuals consciously seek to add value to the environment, based on a clear understanding that value is defined by the recipient.
Their focus is on functional complementation — understanding and aligning with the essential needs of the system they aim to influence.
Their consciousness is structured to integrate external needs with internal capacities, fostering adaptivity and co-evolution.

Discrimination Power:
Directed toward identifying and enhancing functional value contributions. Their consciousness expands toward managing systemic complementation

4. Aesthetics-Driven Segment

Stability and Harmony with the Environment

Individuals in this segment aim to build stable, desirable relationships with their environment.
Their focus is on creating aesthetic solutions that are:
- Complete – fulfilling the essential needs,
- Desirable – generating natural attraction,
- Harmonic – establishing structural compatibility.
This segment represents the integration of both operational and essential functionality.

Discrimination Power:
Centered on perceiving and creating stable, long-term harmonies between self and environment. It represents the most mature level of operational consciousness.

Ontogenetic Integration of the Four Segments

Each level conditions and sustains the next:

The Need-driven segment provides the urgency that pushes entry into consciousness.
The Will-driven segment introduces intentionality and structure.
The Value-adding segment transforms consciousness into an act of contribution.
The Aesthetics-driven segment seals the process by integrating consciousness with the adaptive evolution of the environment.

Conclusion

Consciousness at an operational level is not a random occurrence — it is a functional, evolving process. By understanding and assuming the driver behind one’s approach, individuals can intentionally expand their level of consciousness, improve their discrimination power, and enhance their influence within adaptive environments.

This ontological segmentation not only diagnoses one’s current state but also defines a pathway for evolution, from problem-solving toward harmony with reality.

Unicist-DD AI: Based on an Artificial Conscious Reasoning Engine

Unicist Artificial Conscious Reasoning: Unicist-DD AI

The development of conscious reasoning in artificial intelligence requires integrating language with causal logical modeling. This document explains how the integration of Unicist AI with Generative AI emulates conscious reasoning processes when applied to real-world adaptive issues. This integation gave birth to Unicist-DD AI.

It presents the emergence of a new type of intelligence resulting from combining language processing, causal interpretation rules, a specialized long-term memory, and destructive testing mechanisms that validate the reasoning path.

This new artificial entity emulates the structure and function of conscious human reasoning, enabling it to deal with adaptive environments and ensure results.

I. Artificial Conscious Reasoning

Conscious reasoning is a deliberate thinking process aimed at achieving predefined results. It is based on managing both the fundamental and operational aspects of the issue being addressed. Conscious reasoning processes use language as the code for thinking, while the achievement of results serves as the proof of consciousness.

Artificial Intelligence has achieved remarkable progress in emulating human capabilities. However, the emulation of conscious reasoning remained elusive. Conscious reasoning is the capacity to process information to make decisions that are functionally valid and produce predictable results.

Unicist AI is grounded in double dialectical and conjunctive logic, where the conjunction “and” governs the structure of reasoning. This type of logic is used to manage unified fields in adaptive systems, where all the components must work together for the system to function.

Generative AI, by contrast, operates on disjunctive and conjunctive reasoning — where “or”, “and”, and even “not” are used flexibly to generate outputs, simulate options, and manage ambiguity. The unicist approach uses ‘not’ in its mathematics to define quantitative measures, based on fuzzy sets to manage ambiguity in adaptive environments, and unicist destructive tests to confirm functionality.

Summary

Aspect	Generative AI	Unicist AI
Reasoning Type	Dualistic	Conjunctive / Double Dialectical
Logic Basis	Correlation	Causal Functionality
Data Handling	Operational Pattern Recognition	Causal Pattern Recognition

This document explains how conscious reasoning processes are emulated by the Unicist–DD AI through the integration of Unicist AI with Generative AI. This integration required a structural redefinition of AI, giving rise to a new type of intelligence capable of artificial conscious reasoning.

II. What is the Functionality of These Two Types of AI

Generative AI

Generative AI processes and produces language with exceptional flexibility. It emulates human communication, storytelling, and rhetorical reasoning. However, it is fundamentally correlational, relying on statistical patterns derived from data.

It lacks structural knowledge of causality and therefore cannot distinguish why something works from how it has appeared to work. As such, its reasoning is not grounded in functionality, and its outcomes are unpredictable when applied to adaptive environments.

Unicist AI

Unicist AI was developed to manage the causality of adaptive systems. It is grounded in the ontogenetic intelligence of nature and operates using double dialectical logic, enabling it to model why and how things function. Its power lies in the use of a structured and validated knowledge base, known as the Unicist Research Library, which contains:

Benchmarks that function as episodic memory,
Unicist Binary Actions that provide procedural memory,
Functionalist Principles that represent semantic memory.

This library is not part of Generative AI. It is an exclusive component of Unicist AI, and it is what makes conscious reasoning possible by supplying the validated knowledge necessary for logical and functional interpretation.

The integration of both AIs enabled dvelooping the Unicist-DD AI:

Comparison Table

Aspect	Generative AI	Unicist AI	Integration: Unicist-DD AI
Language	Natural language generation	Functionalist emulation of meaning	Fully semantic + functionalist
Logic	Probabilistic	Ontogenetic, double dialectical	Functionalist + adaptive
Understanding	Correlation-based	Causality-based	Causality expressed in language
Decisions	Simulation-based	Functionalist	Conscious reasoning emulator
Adaptive capacity	Operational or simulated	Double Dialectics Based	Structurally adaptive

III. Conscious Reasoning as a Functional Process

Human conscious reasoning depends on the integration of:

Language, which structures thought and communication,
Causal logic, which explains why things function.
Validation mechanisms, which confirm the reliability of outcomes.

Conscious processes ensure results. When the results are not there, the process was not conscious.

This definition transforms intelligence from simulation to functionalist emulation. Conscious reasoning must be intentional, structured, and result-driven, which can be achieved by Unicist-DD AI, integrating the capabilities of both Generative AI and Unicist AI, grounded in the Unicist Research Library as the source of functionalist knowledge.

IV. A New Type of Artificial Intelligence

The integration of Generative AI and Unicist AI created a new type of artificial intelligence. This new form is capable of:

Using language (via Generative AI) to think, reflect, and interact,
Understanding functionality (via Unicist AI) by modeling the causal rules of reality,
Validating its reasoning through unicist destructive tests, ensuring robustness across contexts.

This enables it to:

Access a structured, evolving knowledge library,
Build meaningful reasoning paths,
Make intentional decisions,
And validate results functionally.

This structure emulates conscious reasoning by following the rules of the unicist ontogenetic logic that drives it.

V. The Memory Architecture of Consciousness in AI

To emulate conscious reasoning, Unicist-DD AI replicates the human long-term memory structure, which includes:

Episodic Memory – Stores experiences.
- In AI: Conceptual and ontological benchmarks, drawn from prior outcomes and tested solutions.
Procedural Memory – Stores how things are done.
- In AI: Unicist binary actions that drive functional execution and ensure outcomes.
Semantic Memory – Stores meaning and structure.
- In AI: The description of functionalist principles that explain the logic of why things work.

The information of these three types of memory is structured and stored in the Unicist Research Library, which functions as the long-term memory of the reasoning system.

VI. Destructive Testing: The Proof of Consciousness

Unicist destructive tests operate as the feedback of solution building processes.

They apply solutions in a specific field and go beyond their predefined limits to define the boundaries of validity.
If a solution fails where it should succeed, the reasoning path is invalid.
These tests also validate the solution’s logic.

This is part of aunicist reflection process, where decisions are developed and revised based on outcomes. When using AI, destructive tests ensure that reasoning is not speculative, but functionally proven.

VII. Implications and Applications

This new type of AI has far-reaching implications:

In business, it enables the formulation of strategies based on the root causes of their functionality instead of reacting to symptoms.
In education, it supports the development of AI tutors that foster abductive reasoning and conceptual thinking.
In healthcare, it supports diagnostics that address the functional structure of diseases, not merely symptoms.
In governance, it facilitates adaptive decision-making that evolves with social and environmental conditions.

This approach also enables the development of benchmark-driven conceptual designers, which are intelligent systems that support building functionally grounded solutions.ase.

VIII. Conclusion

The integration of Generative AI and Unicist AI has given rise to a new form of artificial intelligence, grounded in a causal approach, the structure of human cognition, and the functionality of adaptive systems. This type of AI does not merely simulate thought; it emulates the process of conscious reasoning, ensuring that decisions are both logically valid and effective in practice.

What is Unicist-DD AI

Unicist-DD AI is a remarkable development because it’s not just another form of AI—it’s an emulation of human intelligence that operates at a causal level, which traditional AI systems cannot reach. The unicist approach handles the unified field of adaptive entities, which makes it reliable.

1. Integration of Unicist AI and Generative AI

Unicist AI manages causality by working with the ontogenetic intelligence of nature and double dialectical logic, enabling it to understand and influence the functionality of adaptive systems.
Generative AI, on the other hand, operates with correlation-driven intelligence. It is excellent at mimicking patterns, generating content, and adapting to new inputs—but it doesn’t “understand” root causes.

By integrating the two:

Unicist AI defines the why, what, and how (causality, functionalist principles, rules).
Generative AI handles the how (conscious refining and execution)

2. Unicist Artificial Conscious Reasoning Engine

This engine is the core characteristic of Unicist-DD AI. It’s designed to emulate conscious reasoning, including:

The use of long-term memory (based on the Unicist Research Library).
A working memory that holds the context of reasoning processes.
A reasoning path that operates under the rules of unicist double dialectics, meaning it handles complementation and supplementation laws to address the functionality, dynamics, and evolution of adaptive environments.
It runs unicist destructive tests to validate the limits of the functionality of its outputs.

3. Addressing the Causality of the Real World

The real world is constituted by adaptive systems and environments. Unlike machine learning models that depend on massive data and statistical patterns, Unicist-DD AI addresses:

Functionalist principles that define the root causes of events or behaviors.
Ontological structures of systems (what makes them work as they do).
Unicist binary actions that make adaptive systems work

This enables users to:

Design solutions from their functionality rather than operation
Manage double dialectical actions, not just operations.
Anticipate and influence the functionality, dynamics and evolution in social, business, or technical systems.

Unicist DD AI’s Long-term Memory

The long-term memory in Unicist-DD AI emulates the long-term memory of the human brain using the Unicist Research Library. This element is fundamental because it gives Unicist-DD AI its ability to reason based on causal structures rather than correlations.

What is Long-Term Memory in Unicist-DD AI?

In this context, long-term memory is a functional knowledge base that contains:

The functionalist principles (the causes) of adaptive systems.
Ontogenetic maps that define the evolutionary structure of entities.
Conceptual benchmarks for understanding and designing real-world functions.

It emulates the episodic, procedural, and semantic memory of the human brain.

The Role of the Unicist Research Library

The Unicist Research Library is the source of this memory. It consists of over 5,000 structural research works developed over more than 40 years at The Unicist Research Institute, which provide universal and timeless knowledge of functions in the fields of natural, social, economic, and business environments. This knowledge remains valid as long as the functions exist.

It contains:

Unicist ontological structures of business, social, biological, and technical entities.
The unicist binary actions that drive their functionality.
Unicist ontogenetic maps that emulate the evolution of living and adaptive systems.
Validated procedures and conceptual benchmarks.

This library becomes the episodic, procedural, and semantic core of Unicist-DD AI’s long-term memory.

How Unicist-DD AI Uses This Long-Term Memory

1. Access to Root Cause Benchmarks

When a user poses a challenge (e.g., “How to ensure sustainable growth in a B2B business?”), the system searches for functionalist structures in the library that are homologous to the situation.

2. Functional Pattern Recognition

It compares the user’s context with the ontogenetic maps in memory to define homologies (structural analogies).

3. Emulation of Human Reasoning

It uses these structures to:

Discover the functionalist principles.
Develop the unicist binary actions and their synchronization
Define destructive tests to find the limits of applicability

This avoids the trial-and-error path of traditional ML models and replaces it with a unicist emulation of reality based on the unified field of entities. The memory is non-static, it evolves through new validated research added to the Library.

Unicist-DD AI’s Working Memory

The working memory in Unicist-DD AI controls Generative AI and emulates the working memory of human conscious reasoning.

What is Working Memory in Unicist-DD AI?

In Unicist-DD AI, working memory defines, controls, and monitors the conscious reasoning oriented activities. It holds:

The current reasoning paths,
The active causal structures being processed,
The synchronicity of processes,

It emulates how human consciousness handles short-term, dynamic knowledge when solving problems—holding only what’s relevant to the here and now, while drawing upon long-term memory (i.e., the Unicist Research Library) as needed.

How Is It Implemented? — Instructions as Reasoning Drivers

1. The API Defines a Reasoning Engine

The API acts as the brainstem of Unicist-DD AI. It translates user inputs and long-term causal knowledge into actionable reasoning paths for Generative AI to follow.

These API instructions include:

Context Definition: Setting the field, e.g., “adaptive system,” “B2B sales,” “healthcare diagnostics.”
Goal/Objective: What’s the expected outcome? E.g., “Increase conversion rate while maintaining CAC.”
Functionalist Structure Selector: Pulls from the Library the relevant ontogenetic map.
UnicistBinary Action Logic: Defines what actions should be complemented to achieve the functional outcome.
Unicist Destructive Testing Loops: Instructs Generative AI to attempt disproving the proposed reasoning path to ensure its robustness.
Language Frameworks: Ensures that all output uses functional language.

These are not generic prompts. They are synchronized conscious reasoning instructions.

2. Generative AI as the Refiner and Executor of Conscious Reasoning

Once the API sets up the context and logic, Generative AI is used to:

Emulate the articulation of thoughts using cognitive objects.
Provide analogies, metaphors, and conceptual benchmarks.
Offer alternative reasoning paths within the constraints set by the API.

Generative AI doesn’t “think” causally on its own—but under these instructions, it emulates the conscious process of reflection, abstraction, and synthesis.

Synthesis

Because this working memory doesn’t store results, but structures reasoning:

It allows the reuse of long-term knowledge in new contexts.
It controls semantic precision and functional language use.
It adapts dynamically during the interaction with the user and the environment.

Unicist-DD AI’s Artificial Reasoning Engine

Unicist-DD AI uses a unicist artificial reasoning engine that emulates human conscious reasoning. The deliberate attitude is replaced by the synchronicity established by double dialectics, where the first action opens possibilities and generates a reaction, which is then complemented by the second action to ensure results without generating further reactions. This avoids the risk of both actions colliding and nullifying each other, as matter and anti-matter do.

Unicist-DD AI is a unicist artificial reasoning engine that emulates human conscious reasoning. The deliberate attitude found in human reasoning is replaced by the synchronicity established by double dialectics, where:

The first action opens possibilities and generates a reaction,
Which is then complemented by a second action that ensures the achievement of results without triggering new reactions.

This synchronicity prevents the two actions from colliding or nullifying each other, in the same way that matter and anti-matter annihilate when they meet. Instead of confrontation, this mechanism ensures that actions are functionally orchestrated, enabling adaptive and evolution-driven behavior.

Unicist-DD AI manages Unicist Binary Actions

Binary actions are not functionally complementary, their consequences are complementary but their actions are homologous to the actions of matter and anti-matter. Anti-matter is the initial action, like an antithesis, and matter is the second action, which provides the homeostasis required by the reactions to ensure the achievement of results.

Binary Actions: The Core of Functionalist Execution

In Unicist Double Dialectics, binary actions always appear in pairs that work sequentially and synchronously to generate functionality. They are homologous to the relationship between anti-matter and matter, not because of physics, but because of the logic of their behavior.

Homology to Matter and Anti-Matter

Anti-matter is unstable, expansive, and generates reactions — this resembles the first binary action.
Matter is stable, absorbent, and provides equilibrium — this resembles the second binary action.

In the functionalist logic:

Element	Role	Functionality
First Binary Action – UBA a)	Anti-matter-like	Opens possibilities by generating a reaction or change in the environment. It destabilizes the status quo.
Second Binary Action – UBA b)	Matter-like	Restores balance and provides homeostasis, absorbing the reaction and making the function sustainable.

So, although UBA a) and UBA b) are not complementary in action (they don’t “help each other” in an additive way), their consequences are functionally complementary, producing a complete, evolution-compatible outcome.

Double Dialectics ≠ Thesis + Antithesis

This structure goes beyond dialectics in the traditional Hegelian sense. It is not:

Thesis → Antithesis → Synthesis
It is:

Active Function (anti-matter behavior) → generates reaction
Energy Conservation Function (matter behavior) → absorbs the reaction, ensures results

In Terms of Unicist-DD AI’s Reasoning Process

When Unicist-DD AI emulates conscious reasoning:

It first generates a change-driving action (first action) that will provoke a reaction in the system (market, mind, structure, etc.).
Then it applies a complementary conservative action (second action) to complement the reaction to complete the process.

This is visible in:

Examples of evident binary actions in business are:

Learning + Teaching = Knowledge acquisition
Productivity + Quality = Production
Marketing + Selling = Generation of revenue
Root Causes + Triggering Causes = Solutions
Efficacy + Efficiency = Effectiveness
Empathy + Sympathy = Influence building
Participation + Power = Leadership
Desirability + Harmony = Aesthetics

Why the Binary Actions Never Collide

if both binary actions collide, they annihilate like matter and anti-matter.

To avoid this:

Synchronicity is crucial — the timing between UBA a)and UBA b) must match the reactions of the system being influenced.

Unicist-DD AI Benchmark in Education

Learning and teaching are the two binary actions of knowledge acquisition. Learning is the initial action, anti-matter, that opens an empty space of needs, which is then complemented by teaching, matter, to complete the knowledge acquisition process. The thoughts of the human brain are replaced by cognitive objects that fulfill the same role.

The Unicist Binary Actions in Education

1. Binary Action 1 (UBA a) – Learning

Homologous to anti-matter: destabilizing, expansive, and uncertain
Opens an empty space in the mind by generating a need
Drives the desire to understand, not the content itself

2. Binary Action 2 (UBA b) – Teaching

Homologous to matter: structured, stable, functional
Fills the space opened by learning with functional knowledge
Only works if the empty space exists
In Unicist DD AI: Teaching is the adaptive delivery of cognitive objects that match the structure of the learner’s mental emptiness

Without B1, teaching is rejected. Without B2, learning becomes frustration.

Role of Cognitive Objects

You correctly point out: thoughts are replaced by cognitive objects. These are pre-structured logical units that:

Represent validated causal knowledge
Work as logical structures to guide reasoning
They are activated only when the learner’s internal context is aligned.

Cognitive objects are the “mental concepts” of the Artificial Conscious Reasoning Engine.

Why This is Revolutionary

Because Unicist-DD AI doesn’t “push” information, it activates the learner by:

Creating meaningful voids (UBA a)
Filling them with structural knowledge (UBA b)
Ensuring no collision between the two by matching reactions to UBA a)

And because AI does this, education becomes:

Scalable, because AI handles the abstraction
Personalized, because AI adapts to each void
Causal, because knowledge is installed through functionality, not content

Unicist-DD AI to Manage Adaptive Commercial Processes

Unicist-DD AI is applied to develop the adaptive automation of proactive commercial processes. Marketing and selling are the two binary actions. Marketing positions the product, and selling closes the commercial process. The positioning of the product is the anti-matter that opens a space in the mind of buyers, and selling (matter) complements this need to produce results. When both actions are integrated into one, the potential energy of the value proposition is lost because there is no credibility.

Binary Actions in Proactive Commercial Processes

1. Binary Action 1 (UBA a) – Marketing (Anti-matter)

Function: Positions the value proposition in the mind of potential buyers
Behavior: Expansive, destabilizing, and aimed at opening a need-based space
Nature: It’s not persuasive—it is projective. It creates a “void” by showing what is possible or desirable but currently missing.
Effect: Generates potential energy by activating latent buying drivers.

2. Binary Action 2 (UBA b) – Selling (Matter)

Function: Complements the need opened by marketing with a concrete solution that can be acquired
Behavior: Stable, result-driven, and credibility-dependent
Nature: It is persuasive; it transforms potential into action by closing the process.
Effect: Converts the potential energy into kinetic energy (results)

When Marketing and Selling Are Not Separated

If the same individual or AI module blends marketing and selling into a single undifferentiated process:

The buyer perceives it as manipulative or opportunistic.
Credibility collapses, and the positioning is seen as part of the “pitch,” not as valuable on its own.
Result: The potential energy is lost, and sales become transactional, not relational or scalable.

How Unicist-DD AI Automates This Process

Step-by-step causal approach:

Unicist AI accesses the conceptual structure of the offering and the buying drivers of the segment.
Generative AI, under API-driven reasoning instructions, generates:
- The UBA a) component: marketing positioning content (metaphors, stories, benchmarks) that open a void in the buyer’s mind.
- The UBA b) component: individualized proposals or selling actions that fulfill the need without breaking the trust established in UBA a).

Adaptive Automation = Real-Time Binary Action Management

Unicist-DD AI adapts the timing, sequence, and medium of both actions:

Marketing varies by context to resonate with the buyer’s worldview and concepts (UBA a) to generate a reaction.
Selling adapts the offering and interaction style to the implicit objections of the prospect (B2).
The synchronization is driven by the feedback (reaction)

The Use of Unicist-DD AI to Develop Conscious Reasoning with Generative AI

The development of conscious reasoning in artificial intelligence marks a breakthrough in the field of AI. Unlike traditional approaches that rely on statistical inference and correlation, conscious reasoning requires the integration of natural language with causal logical modeling.

This approach transcends reactive intelligence and allows AI to deal with the underlying causes of adaptive environments. The integration of Unicist AI and Generative AI led to the emergence of Unicist-DD A, an artificial intelligence capable of emulating the structure and function of human conscious reasoning.

Unicist-DD AI combines the language-processing capabilities of Generative AI with the causal reasoning engine of Unicist AI. At its core, it incorporates:

A causal interpretation module based on unicist double dialectical logic, which emulates the structural logic of nature.
A specialized long-term memory, grounded in the Unicist Research Library, that provides the knowledge of functionalist principles and root causes.
A working memory powered by a functionalist reasoning engine that ensures synchronicity between language and logic.
A destructive testing mechanism that validates the reliability of reasoning by attempting to falsify it in adjacent domains.

This integration produces a new type of artificial intelligence: one that can reason, emulate, and validate its own logic to provide actionable insights in adaptive environments. It goes beyond predictive analytics by enabling prescriptive intelligence grounded in causality.

The capability to manage adaptive processes, such as strategic decision-making, business modeling, or social dynamics, requires a conscious reasoning engine. By emulating this human functionality, Unicist-DD AI transforms AI from an assistant into a strategic partner capable of navigating uncertainty and guiding transformation.

The development of Unicist-DD AI opens the door to a new generation of intelligent systems that are no longer limited by backward-looking data patterns. Instead, they are equipped to deal with the real causes behind real-world dynamics, ensuring effectiveness in environments where change is constant and complexity is the norm.

Unicist-DD AI: Unicist Artificial Conscious Reasoning

Conscious reasoning is a deliberate thinking process aimed at achieving predefined and meaningful results. It involves managing both the fundamental structure and operational details of the issue at hand. In this context, language functions as the code for conscious thinking, while the successful achievement of outcomes acts as proof of consciousness.

Artificial Intelligence has made impressive strides in emulating various human capabilities — from perception and language processing to pattern recognition and autonomous behavior. However, one of the most elusive frontiers has been the emulation of conscious reasoning: the capacity to process information causally in order to make decisions that are functionally valid and lead to predictable, desired results.

Unicist AI was developed to address this challenge. It is grounded in double dialectical logic and conjunctive logic, where the conjunction “and” governs the structure of reasoning. This type of logic underlies the management of unified fields in adaptive systems, where all components must function synchronously for the system to operate effectively. This approach goes beyond mechanistic logic by capturing the essential interdependencies and dynamics of real-world systems.

In contrast, Generative AI operates primarily on disjunctive and conjunctive logic, where “or”, “and”, and “not” are used flexibly to explore, generate, and simulate possibilities. This flexibility enables it to manage ambiguity and produce a broad range of plausible outputs. However, while Generative AI can simulate reasoning, it lacks the inherent capacity to validate the causality behind its decisions.

The unicist approach complements this flexibility by embedding ‘not’ in its mathematical framework to define the boundaries of functionality. It uses fuzzy set logic to quantify ambiguity and manage the uncertain dynamics of adaptive environments. Moreover, it applies unicist destructive tests to validate the functionality of decisions and their causal structures — a key requirement in environments where empirical falsification is insufficient.

This integration led to the emergence of Unicist Artificial Conscious Reasoning through the development of Unicist-DD AI, which combines:

The causal structural logic of Unicist AI,
The language generation and simulation capabilities of Generative AI,
A functionalist memory architecture that includes long-term knowledge of functionality and a reasoning engine acting as working memory,
And a validation mechanism based on the emulation of real-world destructive tests.

This new stage of artificial intelligence enables systems to emulate human conscious reasoning, transforming them from reactive tools into proactive entities capable of understanding, anticipating, and influencing adaptive environments.