26 · The Nature of Abstraction

Chapter 26: The Nature of Abstraction | StructLang

From 64 Patterns to Abstraction

In the previous chapter, we established the 64 Patterns: the complete map of subject-object relations.

8 subject states × 8 object states = 64 possible configurations

Each configuration has its specific meta-dynamics
We can identify situations, predict trends, find leap directions

But we discovered an astonishing phenomenon:

The same situational configuration (e.g., subject +++ × object -+-) exhibits similar meta-dynamics in completely different domains:

  • Fake dog return: I push full force, merchant has resources but shirks
  • Project advancement: Project manager pushes full force, department has data but doesn’t cooperate
  • Bureaucratic obstruction: Applicant has complete materials, officer has authority but obstructs

Why is this?

Going further:

  • Why can the symbol “-+-” be recognized across multiple situations?
  • Why is “has capability but doesn’t cooperate” a transferable pattern?
  • Why can Sun Tzu’s “know yourself and know your enemy” transfer from warfare to business?

Traditional answer: “Because we abstract away specific details and preserve the common essence”

But this answer hides the key questions:

  • What is “essence”? Who decides what’s essential?
  • What is “common”? Common to whom?
  • What exactly is the process of “abstraction”?

This chapter will reveal: Abstraction is not “discovering essence,” but “selective compression”.

Understanding this, we can understand:

  • Why 64 Patterns can be applied across domains
  • Why it also has limitations
  • Why it’s not “objective structure” but “analytical framework”

Opening: A Seemingly Simple Question

Question: What is a “dog”?

This seems like a foolish question. Everyone knows what a dog is—four legs, barks, domesticated by humans.

But going deeper:

Case: “Dog” Through Different Eyes

Biologist sees "dog":
- Canidae family
- Genetic sequence characteristics
- Evolutionary relationship with wolves
- Specific breed classifications

Child sees "dog":
- Four legs
- Barks
- Can play with
- Some bite

Farmer sees "dog":
- Tool for guarding property
- Cost of feeding
- Ability to chase wild animals

Person from certain cultures sees "dog":
- Food ingredient
- Specific cooking methods
- Nutritional value

Same “dog”—why do different people see it completely differently?

Traditional answers might be:

  • “Because of different focus”
  • “Because of different knowledge backgrounds”
  • “Because of cultural differences”

But these answers don’t touch the essence. The real question is:

“What is this concept ‘dog’ itself? Does it exist objectively or is it constructed by us?”


Section One: Concepts Are Not “Discovered,” They’re “Compressed”

1.1 Collapse of Traditional Views

Traditional view:

An essence exists in reality
↓
This essence is called "dogness"
↓
We discover this essence through observation
↓
Name it "dog"

This view assumes:

  • Essence exists independent of observers
  • Concepts are “discovery” and “naming” of essence
  • All people’s understanding of “dog” should be the same

But reality is:

Physical reality: Countless specific animals
↓
Each unique, each moment different
↓
Contains infinite information
↓
We cannot process infinite information
↓
Must compress

1.2 “Dog” as Compression Point

The real process:

Step 1: Physical Reality Layer
├─ Dog A: Golden Retriever, 3 years, 25kg, lively, brown
├─ Dog B: Chihuahua, 1 year, 2kg, timid, white
├─ Dog C: Husky, 5 years, 20kg, mischievous, black-white
└─ ... countless specific individuals

Step 2: Compression Operation
What to preserve? What to discard?
→ This depends on the observer's framework

Step 3: Compression Result
Biologist: Preserve genetic features, discard individual differences
  → "Dog" = Canidae

Child: Preserve visible features, discard scientific classification
  → "Dog" = Four-legged barking animal

Farmer: Preserve function, discard details
  → "Dog" = Tool for guarding property

Core insight:

“Dog” is not a discovered essence, but the product of compression.

1.3 Compression Inevitably Loses Information

Complete information: 100%
├─ Each dog's uniqueness
├─ State at each moment
├─ All relevant details
└─ All possible connections

Compressed to "dog": About 1-5%
├─ Only preserve "relevant" features
├─ Discard "irrelevant" details
└─ Form operational concept

But the question is:
Who decides what's "relevant"?
Who decides what's "irrelevant"?

Answer: The observer’s framework.


Section Two: Abstraction Is Selective Compression

2.1 Naive View of Abstraction

Common misunderstanding:

Abstraction = Remove specific details + Preserve common essence

Example:
This dog, that dog, another dog
↓ Remove specific differences
"Dog" as abstract concept
↓ Preserves "commonality of all dogs"

Problem with this understanding:

  • Who decides what’s “commonality”?
  • Why are four legs commonality but coat color isn’t?
  • So-called “commonality” already presupposes judgment standards

2.2 Real Process of Abstraction

Abstraction is not “removal,” but “selective preservation”

From specific dog to concept "dog":

Preserved features:
✓ Four legs
✓ Barks
✓ Mammal
✓ Domesticated
✓ ...

Discarded features:
✗ Coat color
✗ Size
✗ Temperament
✗ Who owns it
✗ Current location
✗ ...

Key question:
Who decides what to preserve?
By what standards?

Answer: Framework.

2.3 Framework Determines Content of Abstraction

Same object, different abstractions under different frameworks:

Framework 1: Biological Classification
Preserve:
- Genetic characteristics
- Physiological structure
- Evolutionary relationships
Discard:
- Social attributes
- Economic value
Result: "Dog" = Canidae with specific genetic features

Framework 2: Economic Analysis
Preserve:
- Market value
- Feeding costs
- Economic function
Discard:
- Physiological details
- Emotional value
Result: "Dog" = Commodity with specific market value

Framework 3: Poetry Creation
Preserve:
- Loyalty
- Companionship
- Emotional symbolism
Discard:
- Biological features
- Economic value
Result: "Dog" = Symbol of loyalty

Framework 4: Recipe Writing (certain cultures)
Preserve:
- Meat characteristics
- Cooking methods
- Nutritional value
Discard:
- Emotional attributes
- Social significance
Result: "Dog" = Food ingredient

Shocking discovery:

There’s no “objective abstraction,” only “abstraction within framework”.


Section Three: Concepts as “Consensus Compression Points”

3.1 New Definition of Concepts

Traditional definition:

  • Concept = Naming of essence
  • Concept = Generalization of commonality

Our definition:

Concept = Under specific framework, after selective compression, a relatively stable consensus point that forms.

Key terms:

  • Compressed to point: Infinite information → Single symbol
  • Relatively stable: Unchanged within certain spacetime range
  • Consensus: Overlapping understanding among multiple subjects

3.2 “Limited Relevant Overlap”

Why can the concept “dog” facilitate communication?

Not because: ❌ Everyone’s understanding of “dog” is completely identical

But because: ✓ A “core overlapping region” exists

"Dog" overlap region structure:

Core overlap region (almost everyone agrees):
├─ Four-legged animal
├─ Barks
├─ Domesticated by humans
└─ Kinship with wolves

Partial overlap region (some agree):
├─ Is pet (vs. tool animal)
├─ Loyal (vs. just animal instinct)
├─ Has spirit (vs. mechanical reaction)
└─ Deserves respect (vs. can treat casually)

Non-overlap region (cultural differences):
├─ Whether can be eaten
├─ Whether can be beaten
├─ Status level
└─ Rights scope

Stability:
Larger overlap region → More stable concept
Smaller overlap region → More ambiguous concept

Key insight:

Concept stability doesn’t come from “objective essence,” but from “size of overlap region”.

3.3 Deep Meaning of “Relatively Stable”

Why “relatively” stable?

Dimension 1: Time Dimension
Concept of "dog" evolving:
├─ Ancient: Tool animal (guarding, hunting)
├─ Modern: Pet/family member
└─ Future: ?

Dimension 2: Space Dimension
Different cultures' understanding of "dog":
├─ Western: Pet culture, emotional companion
├─ Some East Asian: Food culture
└─ Islamic: Unclean animal

Dimension 3: Situational Dimension
Same person in different situations:
├─ See guide dog: Admiration
├─ See wild dog: Vigilance
├─ Hear about dog abuse: Anger
└─ Consider getting dog: Calculate cost

Concept of "dog":
Not fixed unchanging essence
But relatively stable anchor point
In flowing consensus field

Stability depends on overlap degree:

Higher overlap → More stable
Lower overlap → Controversy begins
Overlap disappears → Concept disintegrates

Section Four: 64 Patterns’ Structural Notation Is Also “Consensus Compression Point”

4.1 Back to 64 Patterns: Nature of Symbols

Understanding “dog” as consensus compression point, we can return to 64 Patterns:

What’s the nature of symbols like “-+-”, “+++” in 64 Patterns?

Traditional understanding (assumption I may have implied before):

-+- is notation of some "objective structure"
This structure "truly exists" in reality
We only "discover" and "describe" it

Real situation:

-+- is a consensus compression point
It's not "discovered," but "constructed"
Its stability comes from "users' overlapping understanding"
Not from "conforming to objective ontology"

Analogy to “dog” discovery:

Concept "dog":
- Compressed to point consensus
- Relatively stable
- Limited overlap
- Framework dependent (biologist vs. farmer)

Therefore:
"Volume structure -+-" also:
- Is compressed to point consensus
- Relatively stable
- Limited overlap
- Framework dependent (Time-Benefit-Risk framework)

What does this mean?

4.2 Decompression Diversity of Volume Structure “-+-”

Same symbol, different people decompress different content:

"-+-" compression point:

Reader A (just learned theory):
"Three symbols: A negative, Q positive, T negative"
→ Mechanical memorization, stays at symbol level

Reader B (has practical experience):
"Capable but stuck deadlock"
"Feeling blocked, clearly has resources but can't move"
→ Decompresses to dynamic feeling

Reader C (philosophy background):
"System state with sufficient potential energy but insufficient kinetic energy"
"Like water tank filled but faucet closed"
→ Decompresses to physical analogy

Reader D (pragmatist):
"That fake dog case situation"
→ Decompresses to specific case

Same "-+-" symbol
Different decompression content

4.3 Overlap Region Determines Consensus Quality

Minimum overlap region (almost all readers):
"This represents some specific situational pattern"
"Some combination of three dimensions"

Medium overlap region (readers who understand theory):
"Action has resistance, ability sufficient, attitude negative"
"Is a deadlock state"

High overlap region (deeply understanding readers):
"System has potential but lacks kinetic energy"
"Passive party configuration in push-resist relationship"
"Needs external activation to leap"

Larger overlap region:
- Reader and author understanding closer
- More precise communication
- More consistent theory application

Smaller overlap region:
- Greater understanding deviation
- "Learned" but can't apply correctly
- Or cannot understand at all

4.4 Constructive Nature of Structural Notation

Shocking truth:

Traditional understanding (my previous implicit assumption):
"Objective existence" of some structure in reality
↓
I "discovered" it
↓
I "notated" it as -+-
↓
This is "describing objective facts"

Real situation:
Complex situation exists in reality
↓
I observe with Time-Benefit-Risk framework (choose framework)
↓
I decompose with A-Q-T dimensions (choose dimensions)
↓
I notate with +/- symbols (choose symbols)
↓
I compress with specific algorithm (choose compression rules)
↓
I get -+-
↓
This is "framework-based construction"

Analogy to “dog” discovery:

Not "discovering dog's essence"
But "conventionally categorizing certain animals as 'dog'"

Similarly:
Not "discovering structure"
But "constructing structure's representation with framework"

4.5 Different People May Notate as Different Structures

Same fake dog return case:

My notation:
Observation framework: Time-Benefit-Risk
Observation dimensions: A-Q-T
Notation: Me(+++) × Merchant(-+-)
Compression: -+- (deadlock)

Another observer might:
Observation framework: Trust-Rules-Innovation
Observation dimensions: X-Y-Z
Notation: Me(++?) × Merchant(-?-)
Compression: Different result

Merchant themselves might:
Observation framework: Cost-Risk-Customer satisfaction
Observation dimensions: P-Q-R
Notation: Me(-++) × Customer(+--)
Compression: Yet different

Who is "correct"?

Answer:

No absolute correctness
Only "notation within specific framework"
As long as:
- Framework is clear
- Notation is self-consistent
- Can be decompressed and verified

All are "valid"

Section Five: Precise Meaning of “More Abstract = Easier to Transfer”

5.1 Common Misunderstanding

Wrong version:

Abstraction = Remove details
↓
More abstract = Fewer details
↓
Fewer details = More universal
↓
More universal = Easier to transfer

Problem with this reasoning:

  • Ignores framework boundaries
  • Ignores normativity boundaries
  • Ignores structural isomorphism boundaries

5.2 Necessary Qualifications

Correct version:

"Within the same framework,
Within the same normativity region,
In structurally isomorphic situations,
The higher the abstraction level,
The easier cross-specific-situation transfer"

Why so many qualifications needed?

5.3 Three Uncrossable Boundaries

Boundary 1: Framework Boundary

Within instrumental rationality framework:
F=ma can transfer from apple to planet ✓
"Know yourself and enemy" can transfer from war to business ✓

But cannot cross frameworks:
F=ma cannot be used for moral judgment ✗
"Know yourself and enemy" cannot be used for aesthetic evaluation ✗

Why?
Because different frameworks:
- Preserve different features
- Different relevance standards
- Different compression rules

Boundary 2: Normativity Boundary

Within legal framework:
Business strategies can transfer to each other ✓

But cannot cross normativity:
Fraud strategies cannot transfer to legitimate business ✗
Massacre experience cannot transfer to any modern situation ✗

Why?
Because normativity differences:
- Completely different moral nature
- Completely different legality
- Completely different social consequences

(See Chapter XX: Theory of Transferability)

Boundary 3: Structural Isomorphism Boundary

Within adversarial structure:
Art of War can transfer ✓

But cannot cross structure:
Adversarial strategies cannot be used for cooperative relationships ✗
Competitive thinking cannot be used for intimate relationships ✗

Why?
Because relationship structures differ:
- Zero-sum vs. non-zero-sum
- Adversarial vs. collaborative
- Mutually exclusive goals vs. shared goals

5.4 Revised Transfer Theory

Relationship between abstraction level and transferability:

Under three boundary conditions:
Specific operations (low abstraction) → Narrow transfer domain
├─ "Writing documents in Word" only transfers to similar software
└─ Cannot transfer to PPT, Excel

Mid-level patterns (medium abstraction) → Medium transfer domain
├─ "Capable but negative (-+-)" can be recognized in multiple deadlocks
└─ But still limited to instrumental rationality framework

Meta-principles (high abstraction) → Wide transfer domain
├─ "Know yourself and enemy" can cross multiple situations
└─ But still cannot cross framework and normativity

Crossing boundaries:
Even extremely high abstraction cannot transfer ✗

Section Six: Multi-Level Compression Theory

6.1 Hierarchy of Compression

Returning to core insight from Chapter 7 Supplement:

In “Chapter 7 Supplement: Volume Structure and Decompression Diversity,” we discussed:

Volume structure = Compression point
Same volume structure can decompress to multiple six-dimensional configurations
Decompression diversity comes from information loss

Now we can see the complete picture:

Compression in cognition isn’t single-level, but multi-level recursive:

Original layer: Reality situation (100% information)
↓ Compression (Ch. 8: Compression inevitably loses)
First layer: Six-dimensional notation Subject(A,Q,T) × Object(A,Q,T) (about 10% information)
↓ Compression (Ch. 7 Supp.: Volume structure compression)
Second layer: Surface structure (hierarchical relation) ++/+-/-+/-- (about 3% information)
↓ Compression
Third layer: Volume structure -+- (about 1% information)
↓ Compression
Fourth layer: Meta-structure "deadlock" (about 0.3% information)
↓ Compression
Fifth layer: Meta-principle "go with the flow" (about 0.1% information)

Each compression level loses information:

  • From reality to six-dimensional: Lost countless specific details
  • From six-dimensional to volume structure: Lost subject-object attribution (Ch. 7 Supp. details)
  • From volume structure to meta-structure: Lost dimensional information
  • From meta-structure to meta-principle: Lost situational features

But each compression level increases abstraction:

  • Higher abstraction → Wider application range (within framework)
  • Lower abstraction → More specific information (but poor transferability)

6.2 Diversity of Decompression

Key discovery: Same volume structure can decompress to multiple six-dimensional configurations

Volume structure: -+-

Possible six-dimensional configurations:
Configuration 1: Subject(-++) × Object(+--)
Configuration 2: Subject(--+) × Object(++-)
Configuration 3: Subject(-+-) × Object(--+)
... etc.

Why can there be multiple?
Because:
- Volume structure dropped "subject-object attribution"
- Only preserved "overall dynamic characteristics"
- When decompressing can allocate to different subject-objects

What does this mean?

Volume structure -+- represents: "Deadlock, has potential but lacks kinetic energy"

Specific situation 1 (fake dog case):
I actively push(+++)
Merchant passively shirks(-+-)
→ Overall presents -+-

Specific situation 2 (workplace project):
Employee enthusiastic(+-+)
Boss negative attitude(--+)
→ May also overall present -+-

Same volume structure
Different six-dimensional configurations
But similar dynamic pattern

6.3 Why Volume Structure Can Transfer

Volume structure removes “who is who,” only preserves “system state”

Six-dimensional:
- Contains subject-object attribution information
- Specific to particular persons
- Low transferability

Volume structure:
- Removes subject-object attribution
- Only describes "system dynamics"
- High transferability

But cost is:
- Information loss
- Detail blur
- Need to re-decompress to specific situation

This is compression-transfer tradeoff:

More information retained → More specific → Harder to transfer
More information lost → More abstract → Easier to transfer

But losing too much → Loses meaning
Retaining too much → Cannot compress

Optimal point:
Retain "pattern," lose "individual information"

Section Seven: Framework Relativity of Abstraction

7.1 Kantian Insight

We can never know “thing-in-itself”

Thing-in-itself (reality itself):
Unknowable X
↓
Cognitive framework: Time-Benefit-Risk / Others
↓
Phenomenon (what we know):
Presentation after framework filtering

In our theory:

Reality itself (thing-in-itself):
├─ Complex interpersonal interactions
├─ Infinite details
└─ Inexhaustible relationships

Our framework:
├─ Time-Benefit-Risk dimensions
├─ A-Q-T decomposition
├─ +/- notation
└─ Compression rules

"Structure" we see:
├─ Not reality itself
├─ But framework's projection onto reality
└─ Is "phenomenon" not "thing-in-itself"

7.2 Different Frameworks See Different Structures

Same event: Entrepreneur pushes project

Instrumental rationality framework abstraction:
Me(+++) × Team(-+-)
→ Preserve dynamics
→ Discard emotion, meaning

Moral framework abstraction:
Leader(has responsibility) × Team(being influenced)
→ Preserve power relations and responsibility
→ Discard efficiency

Existentialism framework abstraction:
Free subject(anxious) × Choice situation(limiting)
→ Preserve existential state
→ Discard instrumentality

None is "uniquely correct" abstraction
All valid within their respective frameworks

7.3 What Choices Our Abstraction System Made

Choice 1: Choice of Dimensions

We chose: Time-Benefit-Risk
→ Abstraction from "resource competition" angle
→ Not from "emotional exchange" angle
→ Not from "meaning pursuit" angle

Choice 2: Choice of Symbols

We chose: +/- binary notation
→ Abstraction from "polarity" angle
→ Not from "qualitative difference" angle
→ Lost rich intermediate states

Choice 3: Choice of Compression

We chose: Six-dimensional → Three-dimensional
→ Preserve "dimensional features"
→ Discard "subject-object attribution"
→ Assume subject-object attribution not essential

These choices:

Not "discovering objective structure"
But "constructing analytical framework"

7.4 Illumination and Blind Spots of Framework

Every framework has:

Illuminated parts:
Our framework sees:
├─ System dynamics
├─ Energy distribution
├─ Push-resist relationships
├─ Leap possibilities
└─ Efficiency bottlenecks

Blind spot parts:
Our framework doesn't see:
├─ Moral nature
├─ Emotional content
├─ Meaning level
├─ Aesthetic value
└─ Existential state

This is not a defect

Any framework has:
- Illuminated parts
- Blind spot parts

Choosing framework = Choosing what to see

Section Eight: Epistemological Stance

8.1 From Realism to Constructivism

Three stances:

Extreme realism:
"Structure objectively exists in reality"
"We discover and describe it"
Problem: Ignores role of framework

Extreme relativism:
"Everything is subjective"
"No right or wrong, construct freely"
Problem: Denies reality's constraints

Moderate constructivism:
"Structure is constructed by us with framework"
"But construction is constrained by reality"
"Some constructions more useful than others"

We adopt moderate constructivism:

Acknowledge:
1. Reality exists independent of observers
2. But what we know is "phenomenon" not "thing-in-itself"
3. Phenomenon is product of framework-reality interaction
4. Different frameworks produce different phenomena
5. Objectivity possible within framework (inter-subjective consensus)
6. But no absolute objectivity across frameworks

8.2 Pragmatic Standard of Truth

How to verify theory?

Not through:
"Conforms to objective reality" (cannot verify)

But through:
"Useful in practice" (can verify)

Standards of usefulness:
├─ Helps understand complex situations
├─ Helps predict behavior
├─ Helps formulate strategies
├─ Helps solve problems
└─ Can communicate within community

If theory satisfies these:
→ It's "good theory"
→ Regardless of whether "absolutely true"

Analogy to Newtonian mechanics:

Newtonian mechanics not "absolute truth"
(Fails at near light speed)

But very useful in certain range:
├─ Architectural engineering
├─ Mechanical design
├─ Daily physics
└─ Aerospace (low-speed part)

→ This is good theory

Our structural language same:
Don't claim "absolute truth"
Only claim "useful in specific range"

8.3 Objectivity of Consensus

Inter-subjective objectivity:

Not:
Absolute objectivity independent of all subjects

But:
Relative objectivity within subject community

Example:
"Earth orbits sun"
├─ Not personal opinion (subjective)
├─ Is scientific community consensus (inter-subjective objective)
├─ Can be falsified and revised (fallibilism)
└─ Is "best theory" under current conditions

Our structural language:
├─ Not absolute truth
├─ Is attempting to establish "inter-subjective consensus"
├─ Among people who endorse this framework
└─ Reach relatively stable understanding

Section Nine: Implications for Theory Construction

9.1 Honest Theoretical Attitude

We should say:

Don't say:
"I discovered objective laws of interpersonal relations"

Instead say:
"I constructed a framework for analyzing interpersonal relations"

Don't say:
"This is the only correct understanding"

Instead say:
"This is a potentially useful perspective"

Don't say:
"This theory applies to all situations"

Instead say:
"This theory may be effective in these situations:
- Goal-oriented interactions
- Resource competition situations
- Occasions requiring strategic decisions"

9.2 Definition as “Consensus Negotiation”

Traditional understanding:

Definition = Revealing essence
"The essence of intention is..."

Real situation:

Definition = Proposing a compression rule

When I say:
"Intention = vector in Time-Benefit-Risk framework"

I'm not saying:
"The essence of intention is this"

I'm saying:
"I suggest we agree:
In this theory,
When we use the word 'intention,'
We all decompress to this content"

This is:
├─ Establishing consensus
└─ Not declaring truth

9.3 Building Consensus Through Use

Pure definition isn’t enough:

"Intention is Time-Benefit-Risk vector"
→ Reader: Got it (but actually didn't)

Need cases:

"In fake dog return, my intention is (+1,+1,-1)"
→ Reader: Oh, that's how it's used

Need multiple cases:

Fake dog case, workplace case, startup case...
→ Reader through multiple use situations
→ Gradually forms understanding "overlapping" with author

This is:

Building consensus through "language game"
Not transmitting essence through "definition"

9.4 Acknowledging Boundaries and Limitations

Our framework:

Valid domain:
├─ Goal-oriented interactions
├─ Resource competition situations
├─ Occasions requiring strategic decisions
├─ Business and workplace situations
└─ Legal and legitimate behavior

Invalid domain:
├─ Pure emotional exchange
├─ Meaning pursuit
├─ Aesthetic experience
├─ Spiritual growth
└─ Intimate relationships (use cautiously)

Forbidden domain:
├─ Criminal activities
├─ Immoral manipulation
├─ Violent behavior
└─ Any illegal or immoral situations

Honestly tell users:

This is not universal theory
This is specific tool
Useful in specific situations
Useless or harmful in others

Section Ten: Multi-Framework Thinking

10.1 Danger of Single Framework

If only using instrumental rationality framework:

Result:
├─ Instrumentalize all relationships
├─ Strategize all interactions
├─ Objectify all people
└─ Mechanize interpersonal relations

Consequences:
├─ Lose emotional depth
├─ Lose meaning dimension
├─ Moral sense fades
└─ This is core problem of modernity

10.2 Multi-Framework Capability

Mature practitioner:

Can switch between different frameworks:

In business decisions:
→ Activate instrumental rationality framework
→ Use our theory for analysis

In moral judgment:
→ Switch to ethical framework
→ Evaluate with moral principles

In emotional exchange:
→ Switch to relational framework
→ Put down strategic thinking

In meaning pursuit:
→ Switch to existential framework
→ Transcend instrumental rationality

Key:
├─ Know when to use which framework
├─ Not bound by single framework
└─ Flexibly switch

10.3 Meta-Capability: Framework Awareness

Highest wisdom:

Aware of what framework you're using

When using instrumental rationality framework:
- Know this is instrumental rationality
- Know its valid domain
- Know its blind spots
- Know when to switch

This is reflexive practice:
Not just using framework
But understanding framework itself

Epilogue: The Nature of Abstraction

Let me summarize this chapter’s core discovery in one sentence:

Abstraction is not “removing details, preserving essence,” but “selectively compressing information within specific framework”.

This means:

1. No "objective essence," only "framework-relative essence"
2. Abstraction always framework-dependent, different frameworks produce different abstractions
3. Concepts are "consensus compression points," not "naming of objective essence"
4. Structural notation is "constructed," not "discovered"
5. "More abstract = easier to transfer" must be qualified within "framework"
6. Multi-level compression creates meaning, doesn't restore truth
7. Theory is tool not truth, evaluation standard is usefulness

Implications for theory construction:

Theory is not “discovering truth,” but “constructing tools.” Theory should not claim “universal applicability,” but specify “effective boundaries.” Theory is not “mechanical rules,” but “lens to stimulate thinking.”

Final wisdom:

Understanding the nature of abstraction is understanding:

We always work within frameworks. We always compress information. We always construct meaning.

No “God’s-eye view” transcending frameworks, only wisdom of honestly acknowledging frameworks and flexibly switching between them.

This is cognition’s real operation, this is the nature of abstraction.


But There’s an Even Deeper Question

We discussed how abstraction happens—through selective compression.

We discussed how concepts form—as consensus compression points.

But how do these mechanisms actually work?

Compression is not “putting” information “into” concepts. Decompression is not “extracting” information “from” concepts. Understanding is not “retrieving” knowledge from memory.

So what’s the real mechanism of cognition?

Next chapter, we’ll reveal cognition’s network nature:

  • Concepts aren’t containers, but nodes in network
  • Understanding isn’t extraction, but propagation of activation
  • Intention isn’t starting point, but node in experience
  • Learning isn’t storage, but establishment of connections

When we see this network nature clearly, we can truly understand:

  • Why same concept, different people understand completely differently
  • Why expert intuition is so fast
  • Why changing behavior is so hard
  • Why experience is difficult to transfer

This is the underlying explanation of all mechanisms in the previous 26 chapters.

This is the theme of Chapter Twenty-Seven.