The Unicist Ontological Reverse Engineering Protocol


Unicist Standard

The unicist ontological reverse engineering approach was developed to discover the concepts and functionalist principles underlying entities.

It is used to build the conceptual structures that define the functionalist principles of the functions and processes involved.

This approach requires the use of backward-chaining thinking to transform operational knowledge into functionalist and conceptual knowledge.

It also necessitates a solution-thinking approach that begins with a solution to find the concepts and functionalist principles that make it effective, in order to apply it to homologous fields. The knowledge of an entity’s concepts, functionalist principles, and binary actions allows for the improvement of processes and their application in homologous fields.

Unicist Ontological Reverse Engineering

Ontological reverse engineering relies on backward chaining thinking. This method starts with known outcomes or effects and traces back to discover the causes and underlying processes. It contrasts with forward chaining, which begins with causes and moves towards effects. Backward chaining is crucial in reverse engineering because it allows for the systematic deconstruction of adaptive systems.

For instance, when observing the functionality of an airplane, you can employ reverse engineering to uncover the intrinsic concept, functionalist principles, and binary actions that drive its operation. This requires comprehensive knowledge in physics, engineering, and unicist logic, along with practical experience, to interpret the functionality when witnessing an airplane takeoff. Accessing the intrinsic functionality of an entity is essential to discover the principles that make it operate.

The Laws of Unicist Logic

The unicist logic provides information on what needs to be identified, namely the purpose, the active function, and the energy conservation function. In physical entities, the purpose often appears evident; in abstract entities like human actions, the true purpose is the most concealed aspect. However, in both cases, the active function is observable, making it accessible.

Once the active function of an entity is discovered, applying the supplementation law of unicist logic—which asserts that the active function and the purpose are redundant—allows for an initial approach to discovering the purpose. Comparing the redundancy of what you have discovered with the apparent purpose of an entity provides the first hypothesis of what the functionality of the purpose might be.

Consider that in a stage of evolution, the energy conservation function of the active function fosters evolution, introducing superior functionality. In contrast, during involution, the energy conservation function promotes lower energy use to ensure survival.

Based on this hypothesis, backward chaining thinking involves trying to identify the energy conservation function based on the hypothetical structure of the purpose. The purpose and energy conservation function are linked through the complementation law of unicist logic.

Thus, you can infer the functionality of the energy conservation function by determining how this function complements the purpose to prevent the active function from altering the purpose through either superior functionality or energy savings.

The Functionality of Adaptive Entities

Upon identifying the triadic structure of functionalist principles, an explanation for the observable binary actions becomes evident. While binary actions are evident, their interrelationships are not. This discovery initiates a validation and recycling process of the acquired knowledge. This process involves applying the functionality explanations to analogous entities, such as other airplanes, and confirming their functionality. The functionality of adaptive systems is confirmed when accurate forecasts are made.

If the forecasts prove inaccurate, a recycling process begins based on the feedback from the inaccuracies. Developing this process requires a unicist reflection process that provides a framework for learning from feedback.

This reflection process, involving multiple destructive and non-destructive tests of solutions, continues until the forecasts achieve the necessary accuracy to confirm the discovered concepts, defined functionalist principles, and confirmed binary actions.

Although the unicist reflection process can be conducted individually, it is often more effective when carried out in a team.

The Process of Unicist Ontological Reverse Engineering  

Unicist ontological reverse engineering leverages backward-chaining thinking effectively to deconstruct and understand complex adaptive systems. Here’s a breakdown of how backward chaining thinking works in this context:

  1. Starting with the Outcome: Backward chaining begins by observing an outcome or effect. In your example, the functionality of an airplane taking off could be the starting point.
  2. Identifying the Active Function: From the observed outcome, the process moves to identify the active function, which is the immediately observable part of the system that leads to the outcome. This could be the propulsion provided by the airplane’s engines.
  3. Applying Unicist Logic: The next step involves applying the principles of unicist logic to deduce the underlying purpose and energy conservation function. The supplementation law helps hypothesize the purpose by assuming it is redundant with the active function.
  4. Determining the Energy Conservation Function: The energy conservation function is explored next. This involves hypothesizing how this function supports or complements the purpose to maintain or improve the efficiency of the active function. In aviation, this could relate to how fuel efficiency technologies support the main propulsion function to achieve the desired outcome (takeoff and sustained flight) while conserving energy.
  5. Exploring Triadic Structure: With the purpose and active and energy conservation functions hypothesized, the entire triadic structure that underlies the airplane’s operation can be studied. This structure helps explain the binary actions and their interrelations within the airplane’s functionality.
  6. Validation and Recycling: The process requires validation where the hypothesized principles are applied to other similar systems (other airplanes) to confirm their functionality. If discrepancies arise, the hypotheses are adjusted based on feedback, emphasizing the importance of a recycling process where inaccuracies lead to refined understanding.
  7. Learning and Reflecting: Finally, the unicist reflection process allows for a deeper understanding and learning from feedback through destructive and non-destructive testing of the hypothesized models. This iterative process continues until the functionality of the system is accurately understood and can be reliably predicted.

Backward chaining in unicist ontological reverse engineering is essentially about peeling back layers from the observed effect to deeper layers of functionality and causality, using a structured logic to hypothesize and validate the interconnected components of complex systems.

The Unicist Research Institute