Some Supplementary Thoughts on the Subjectivity Elimination Scheme

Current Incompleteness of the Scheme

Regarding the specific design of this scheme, I am still incomplete. I have only designed and obtained some potentially useful design solutions on cellular automata and network multi-agent models. For mathematical equation models and structural diagram models, I have not considered them yet.

Core Question: How to Achieve Independence from Specific Model Rules?

In cellular automata and networks, I first select a specific model, taking the Game of Life as an example. Yet the operation of the elimination scheme needs to be independent of the specific model rules simultaneously. So how can this be achieved?

What I consider is reconstructing a new universal worldview language on various specific models, whose sufficiently universal design ensures it does not depend on specific model details.

The Subjectivity Problem in Traditional Simulation Processes

Let me first compare some traditional cellular automata simulation processes: these simulation processes select a certain group of initial distributions and initial rules (or boundary conditions - generally speaking, to observe enough possibilities, this group is very large), conduct thousands of simulations (to obtain sufficient data for convenient statistical result extraction), and draw certain conclusions through visual observation, recognition algorithms, and parameter analysis (the first often observes emergent patterns and classifies them to correspond to simulated real-world phenomena, while the second and third are more refined than the first to observe more sophisticated dynamic characteristics), thus completing a standard simulation process.

I believe such a simulation process is full of subjectivity - my solution is to separate this process.

Solution: Purely Abstract Language Design

First, obtain a language or design scheme that does not depend on subjectivity, being "purely abstract." Therefore, it can allow subjectivity to change freely, and can also conduct simulations starting from multiple subjectivities simultaneously. This is the benefit brought by complete independence from subjectivity.

Furthermore, numerous subjects of the "non-human" world, even if we cannot subjectively understand them and can only describe them objectively in a "fragmented" way, can also be simulated based on their own subjectivity and participate in our human world simulations in this new language. Even human world subjectivity can choose not to be simulated from beginning to end, since this new language is independent of human world subjectivity - it can choose to simulate the human world or choose not to, although not simulating might be almost incomprehensible and meaningless.

Then, we consider the "cyborg" problem, that is, starting from the subjectivity of the human worldview to input and interfere with the simulated world, and output and recognize certain "comprehensible" results. This is a kind of "abstraction," strictly determining and distinguishing human subjective selectivity.

Specific Implementation Method

Now I propose such a method: this is actually the work of one of my innovation projects (PS: can't figure out a complete design, about to fail to submit the paper QAQ).

For certain "obvious" structures (we generally call them patterns) that evolve in the Game of Life (taking a specific model as an example), they are essentially structures that represent relationships between multiple sub-structures (why say this is relationship? I'll discuss below). We take them as basic "units," use these new units for collision and evolution, and recognize certain characteristics, meanings, and information generated therein using the same units.

Since the structures are sufficiently numerous and rich, under the repeated evolution of specific model rule applications, if a recognition entity can distinguish multiple structures, then the large structural entity formed by these multiple structural entities associating in some form is recognized by the recognition entity as the relationship of these multiple structures. This is the origin of the concept of relationship.

In other words, we use one piece of structure to collide with another piece of structure, and the information contained therein is also recognized only through structures.

The Problem of "Void Combat" and Conceptual Reconstruction

This obviously brings a problem: this process loses certain obvious meaning characteristics and interpretability, becoming a kind of "void combat." These processes not only lack real-world background, such as concepts of time and space, but many abstract concepts also need reconstruction:

Reconstruction of the Individual Concept: "Individual" or "object" as a term has meaning in a specific recognition entity's environment and cannot be used arbitrarily only when that recognition entity has the ability to distinguish individuals through enumeration and when individuals form certain boundaries with the environment.

Reconstruction of Measurement Behavior: The act of "measurement" must also occur on certain measurable abstract structures and cannot mechanically design some recognition algorithms from the overall simulator that ignore the "meaning" of various structures.

These are only one side of the problem, and also reflect how deeply our subjective selectivity penetrates into our description and transformation of our world.

Keywords: Subjectivity elimination, cellular automata, universal worldview language, structural evolution