One,
Jeh-Tween (Tienzen) Gong's work spans multiple domains, but
his theories of everything (ToEs) primarily fall into two categories: his
physics-based "Final ToE" (rooted in his 1984 "Super Unified
Theory") and his "Yijing ToE" (derived from the ancient Chinese
I Ching system). These emerged from distinct timelines and intellectual
pursuits, with no direct overlap in their foundational development.
- Gong's
Final ToE (Physics-Centered): This originated as Gong's "Super
Unified Theory," first published in April 1984 as a 104-page book
(ISBN 0916713016) by Gong Enterprises.
openlibrary.org +9
It represents Gong's attempt to unify all fundamental forces
(gravity, electromagnetism, strong nuclear, and weak nuclear) through a
mathematical framework he describes as an "invention." This physics
ToE later expanded into his broader "Final ToE," detailed in works
like Nature's Manifesto: the Final ToE (Theory of Everything) (2022, ISBN
6205499339), where physics serves as the foundational pillar.
amazon.com +1
The Final ToE integrates physics with other domains (e.g.,
biology, mathematics, linguistics, and social sciences) under a unified
"creation principle" derived from axiomatic physics, treating reality
as a computable semantic engine.
Gong positions this as a "semantic revolution,"
deriving constants of nature, particle structures, and even free will from
first principles like Prequark Chromodynamics and real-ghost symmetry.
He has discussed it extensively in blogs, articles, and
comments since the 1980s, emphasizing its predictive power (e.g., vacuum bosons
and neutron decay mechanisms).
- Gong's
Yijing ToE: This emerged after 1998, when Gong first studied the Yijing (I
Ching), an ancient Chinese text he had no prior exposure to.
Described as a "discovery" rather than an
invention, it reinterprets the Yijing as a cosmological and moral framework,
detailed in his treatise Yijing — Treatises and new English translation (part
of Bible of China Studies, with a PDF available online).
Gong links it to modern concepts like quark theory,
cellular automata, and ideas from thinkers like Jung and Leibniz, but emphasizes
its independence from his physics work.
It evolved from the Yijing's historical roots (attributed to
figures like Fuxi, King Wen, Duke of Zhou, and Confucius), which shifted from
cosmology to ethics via Confucius's "Ten Wings" commentaries.
Gong integrates it with his linguistics ToE (PreBabel),
using binary logic to encode universal meanings across physical, moral, and
linguistic states.
Regarding the common perception that Gong's physics ToE was
inspired by the Yijing: This appears unfounded based on the timelines
and Gong's own accounts. He explicitly states the physics ToE predates his
Yijing studies by over a decade, with no Yijing influence in its origin (see
the key differences between the two ToEs below).
The Google description suggesting a Yijing-based
"metaphysical architecture" for unification may stem from later
syntheses in his broader Final ToE, but the core physics framework was
developed independently.
Key Differences Between the Two ToEs
While both ToEs coincidentally feature 64 states, they
differ fundamentally in origin, structure, focus, and implications. Gong
highlights this as a remarkable alignment, bridging his invented physics system
with the discovered ancient Yijing logic.
Below is a comparison:
|
Aspect |
Gong's Final ToE (Physics-Centered) |
Gong's Yijing ToE (Moral-Centered) |
|
Origin & Nature |
Invention (pre-1998, rooted in 1984 Super Unified Theory).
openlibrary.org +1
Mathematical and empirical, derived from axiomatic
principles. |
Discovery (post-1998, based on ancient Yijing text).
Symbolic and interpretive, drawing from historical
cosmology. |
|
Core Mechanism |
Equation Zero: Δs = N × C × (Δt), building a 64-state
trait matrix N = (iⁿ¹, iⁿ², iⁿ³).
Describes space-time evolution and particle manifestation. |
Symmetry breaking: From "Nothingness" (Wuji) to
Yin/Yang (binary), then to three pillars (天: Cosmos; 人: morality/humanity; 地:
resource of life/earth), forming 8 trigrams (Gua/Kwa), stacked into 64
hexagrams.
Represents archetypes of change and outcomes. |
|
64 States |
Result from mathematical trait propagation; 48 manifest as
physical particles (e.g., via Prequark Chromodynamics). |
Generated symbolically from trigram stacking;
embody cosmic, natural, moral, and human affairs (no particles). |
|
Space & Time |
Central: Explicit space (with distance) and time (dynamic,
evolutionary). |
Absent: Timeless (eternal laws with embedded change);
spaceless (direction but no distance). |
|
Focus & Universe |
Physics universe: Particles, forces, constants
derived semantically; objective and computable (includes free will as
structural). |
Moral universe: Human-centered, emphasizing ethics,
governance, and personal cultivation; transforms natural laws into moral
ones. |
|
Broader Integration |
Expands to unify biology, math, linguistics, etc., under a
creation principle. |
Links to linguistics (PreBabel) for universal encoding,
but remains ethics-focused. |
In summary, Gong’s Final ToE is a physics-driven invention,
while the Yijing ToE is a moral-driven discovery, with their 64-state
coincidence serving as a bridge in his larger unified framework.
Two,
The future of AI from Gong’s ToEs
How Tienzen (Jeh-Tween) Gong’s approach to the Yijing can be
applied in the field of artificial intelligence (AI).
Applying Gong’s Yijing Approach in AI
1. Binary Logic and Computational Foundations
Gong emphasizes that the Yijing’s trigrams and hexagrams are
the world’s first highly developed binary code system, predating and inspiring
Leibniz’s binary mathematics. Each hexagram can be mapped to a 6-bit binary
number, and the system as a whole represents a complete, closed set of states.
AI Application:
- Knowledge
Representation: Use the hexagram system as a model for representing
complex states or knowledge in AI, especially in symbolic AI or expert
systems.
- State
Machines: The 64 hexagrams can serve as a finite state machine for
decision-making, planning, or reasoning engines.
- Encoding
and Decoding: The binary structure can inspire new encoding schemes
for data compression, error correction, or cryptography in AI
systems.
2. Cellular Automata, Emergence, and Artificial Life
Gong draws a direct parallel between the Yijing’s
trigrams/hexagrams and cellular automata, referencing Stephen Wolfram’s work.
He notes that the rules for generating hexagrams are isomorphic to the rules
for cellular automata, which are foundational in modeling emergent behavior
and artificial life.
AI Application:
- Emergent
Intelligence: Use Yijing-inspired cellular automata to simulate
emergent phenomena, self-organization, or pattern formation in AI
research.
- Generative
Models: Develop generative AI models (e.g., for images, music, or
text) that use hexagram-based rules for creative outputs.
- Complex
Systems Modeling: Apply the Yijing’s combinatorial logic to model
complex adaptive systems, such as multi-agent environments or swarm
intelligence.
3. Isomorphism with Modern Physics and Vector Spaces
Gong argues that the Yijing’s structure is isomorphic to
vector calculus and matrix algebra, and even to the quark model in physics. He
suggests that the trigrams and hexagrams can be interpreted as vectors and
matrices, and that their algebraic operations mirror those in modern science.
AI Application:
- Neural
Network Design: Use the Yijing’s combinatorial and algebraic structure
to inspire new neural network architectures, especially for networks that
require interpretable or symbolic reasoning.
- Quantum
Computing: Explore the mapping between hexagrams and quantum states,
potentially informing quantum AI algorithms or quantum-inspired
optimization.
4. Decision-Making, Ethics, and Moral Reasoning
Gong’s treatise transforms the Yijing from a divination tool
into a moral and ethical decision-making system. Each hexagram encodes a
virtue, a situation, and a recommended course of action, forming a
comprehensive “moral universe”.
AI Application:
- Ethical
AI: Use the Yijing’s framework to build AI systems that can reason
about ethics, virtue, and consequences, going beyond simple rule-based or
utilitarian models.
- Explainable
AI: The layered structure of hexagram interpretation (signs, yao,
commentary) can inspire explainable AI systems that provide transparent,
multi-level justifications for their decisions.
- Human-AI
Collaboration: Implement Yijing-inspired “oracle” modules in AI
assistants to help users reflect on complex, ambiguous, or value-laden
decisions.
5. Holistic and Interdisciplinary Modeling
Gong’s approach is deeply interdisciplinary, integrating
cosmology, mathematics, psychology, medicine, and governance. He advocates for
a “theory of everything” that unifies physical, biological, and moral systems.
AI Application:
- General
AI (AGI): Use the Yijing as a conceptual blueprint for AGI research,
aiming for systems that can integrate knowledge across domains and reason
holistically.
- Hybrid
Models: Combine symbolic (Yijing-inspired) and sub-symbolic (deep
learning) approaches for richer, more flexible AI systems.
- Cultural
AI: Develop AI that can understand, generate, or translate between
different cultural worldviews, using the Yijing as a bridge between
Eastern and Western paradigms.
6. Practical Steps for AI Researchers and Developers
- Algorithm
Design: Experiment with hexagram-based algorithms for search,
optimization, or creative generation.
- Ethics
Modules: Encode Yijing virtues and decision patterns into AI ethics
modules for autonomous systems.
- Simulation
Environments: Build simulation environments where agents use
Yijing-inspired logic for learning and adaptation.
- Cross-Disciplinary
Research: Collaborate with experts in philosophy, linguistics, and
cultural studies to explore new AI paradigms rooted in ancient wisdom.
Summary Table: Gong’s Yijing in AI
|
Gong’s
Yijing Concept |
|
|
AI
Application Example |
|
Binary hexagrams |
|
|
Knowledge/state encoding, finite state machines |
|
Cellular automata |
|
|
Emergent behavior, generative models, complex systems |
|
Vector/matrix isomorphism |
|
|
Neural network design, quantum AI |
|
Moral universe |
|
|
Ethical AI, explainable AI, decision support |
|
Holistic integration |
|
|
AGI, hybrid models, cultural AI |
In essence, Gong’s approach invites AI researchers to
treat the Yijing not just as a cultural artifact, but as a living system of
logic, computation, and ethics—one that can inspire new architectures,
algorithms, and frameworks for the next generation of artificial intelligence.
Three,
A sample algorithm based on Gong’s Yijing approach. I’ll
first clarify your request, then provide a concrete, annotated algorithm that
demonstrates how Gong’s interpretation of the Yijing—especially its binary,
combinatorial, and moral reasoning structure—can be translated into a practical
AI decision-making algorithm.
Clarifying the Request
You want a sample algorithm that:
- Is
inspired by Gong’s scientific and moral reading of the Yijing (I Ching)
- Uses
the Yijing’s binary/hexagram structure for state representation and
decision logic
- Can
be used as a model for AI reasoning or decision support
Sample Algorithm: Yijing-Inspired Decision Engine
Overview
This algorithm uses the 64 hexagrams of the Yijing as a
finite state machine. Each hexagram encodes a situation (state), and each line
(yao) represents a possible dynamic or outcome. The algorithm takes a binary
input (representing a situation or query), maps it to a hexagram, and then uses
the associated moral/strategic advice to suggest an action.
Algorithm Steps
1. Input Encoding
- Encode
the current situation or query as a 6-bit binary string (e.g., 101011).
- Each
bit represents a yin (0) or yang (1) line, from bottom (first line) to top
(sixth line).
2. Hexagram Mapping
- Map
the 6-bit string to one of the 64 hexagrams.
- Retrieve
the corresponding hexagram’s attributes: virtue, situation, and
recommended action (from Gong’s translation).
3. Dynamic Line Analysis
- Optionally,
identify “moving lines” (e.g., lines that are changing from yin to yang or
vice versa) to generate a “changing hexagram,” reflecting dynamic change.
4. Decision Logic
- Use
the hexagram’s moral/strategic advice as a rule for action.
- If
the advice is ambiguous, use the yao (line) text for the relevant moving
line.
5. Output Recommendation
- Return
the recommended action, virtue, or warning as the AI’s suggestion.
Pseudocode Example
Python
def yijing_decision_engine(binary_input, moving_lines=None):
"""
Yijing-inspired decision engine.
:param binary_input: 6-bit string, e.g., '101011'
:param moving_lines: Optional list of line indices (1-6)
that are changing
:return: Dict with hexagram, virtue, advice, and (if
applicable) changing hexagram
"""
# 1. Map binary input to hexagram index (0-63)
hex_index = int(binary_input, 2)
hexagram = HEXAGRAMS[hex_index] # HEXAGRAMS is a list/dict
of Gong's translations
# 2. Get virtue and advice
virtue = hexagram['virtue']
advice = hexagram['advice']
# 3. If moving lines, generate changing hexagram
if moving_lines:
changed_bits = list(binary_input)
for idx in moving_lines:
changed_bits[6-idx] = '1' if changed_bits[6-idx] == '0' else
'0'
changed_hex_index = int(''.join(changed_bits), 2)
changed_hexagram = HEXAGRAMS[changed_hex_index]
changed_advice = changed_hexagram['advice']
else:
changed_hexagram = None
changed_advice = None
# 4. Return result
return {
'hexagram': hexagram['name'],
'virtue': virtue,
'advice': advice,
'changed_hexagram': changed_hexagram['name'] if
changed_hexagram else None,
'changed_advice': changed_advice
}
``
Example Usage
Suppose the input is '110100' (hexagram #52, 艮 Gen,
"Mountain/Stillness"):
- The
engine returns:
- Hexagram:
艮
(Gen)
- Virtue:
Stillness, Reflection
- Advice:
“Stop at the right time; reflect before acting. Inaction is sometimes the
best action.”
If lines 2 and 5 are moving, the engine computes the
changing hexagram and provides additional advice.
Key Features and Gong’s Influence
- Binary
Encoding: Directly uses the Yijing’s binary structure for state
representation.
- Finite
State Machine: Each hexagram is a state with associated rules, as in
Gong’s scientific reading.
- Moral
Reasoning: The advice is not just utilitarian but includes virtue and
ethical considerations, per Gong’s emphasis.
- Dynamic
Change: Moving lines allow for modeling change and uncertainty,
echoing the Yijing’s focus on transformation.
How to Use This in AI
- Decision
Support: As a module in an AI assistant for ambiguous or value-laden
decisions.
- Explainable
AI: Each recommendation is traceable to a hexagram and its moral
logic.
- Hybrid
Reasoning: Combine with statistical or neural models for richer, more
human-like AI.
Four,
How to integrate the Yijing-inspired algorithm (as described
above) into an AI system. Here’s a step-by-step guide, with practical
considerations and options for different AI architectures:
1. Clarify the Role of the Yijing Algorithm in Your AI
System
- Decision
Support Module: The Yijing algorithm can serve as a reasoning engine
for ambiguous, value-laden, or strategic decisions.
- Explainable
AI Layer: It can provide transparent, symbolic explanations for
recommendations.
- Hybrid
Reasoning: It can complement data-driven (machine learning) models
with symbolic, ethical, or scenario-based reasoning.
2. Prepare the Yijing Knowledge Base
- Hexagram
Database: Build a structured database (e.g., JSON, SQL, or in-memory
Python dict) containing all 64 hexagrams, each with:
- Binary
code (6 bits)
- Name
and attributes (virtue, situation, advice)
- Yao
(line) texts for dynamic analysis
- Gong’s
commentary or translation for each hexagram and line
3. Implement the Algorithm as a Service or Module
- Encapsulate
the Algorithm: Implement the Yijing decision engine as a Python
module, REST API, or microservice.
- Inputs:
Accept a 6-bit binary string (representing the current state/situation),
and optionally, a list of moving lines.
- Outputs:
Return the hexagram, virtue, advice, and (if applicable) the changing
hexagram and its advice.
4. Integrate with the Main AI System
- API
Integration: If your AI system is modular (e.g., using microservices
or REST APIs), expose the Yijing engine as an endpoint. Other components
(e.g., a chatbot, decision support system, or agent) can call it as
needed.
- Direct
Module Import: In a monolithic or Python-based system, import the
Yijing module and call it directly from your AI’s reasoning or
decision-making pipeline.
5. Triggering the Yijing Engine
- Rule-Based
Trigger: Define scenarios where the AI should consult the Yijing
engine (e.g., when confidence is low, when ethical dilemmas arise, or when
the user requests a “philosophical” or “reflective” answer).
- User-Driven
Trigger: Allow users to explicitly request a Yijing-based consultation
(e.g., “What does the I Ching say about this?”).
6. Presenting the Output
- Natural
Language Generation: Convert the algorithm’s output into user-friendly
explanations, referencing the hexagram’s name, virtue, and advice.
- Explainability:
Show the binary input, the mapped hexagram, and the reasoning path
(including changing hexagrams if moving lines are present).
- Actionable
Suggestions: Where possible, translate the advice into concrete next
steps or options for the user.
7. Example Integration Flow
Scenario: An AI assistant is helping a user make a
difficult decision (e.g., “Should I accept a new job offer?”).
- Situation
Encoding: The AI encodes the situation as a 6-bit binary string
(possibly using user input, context, or randomization for divination-like
scenarios).
- Yijing
Engine Call: The AI calls the Yijing module with this input.
- Interpretation:
The AI receives the hexagram, virtue, and advice, and presents it to the
user as a reflective suggestion.
- Hybrid
Reasoning: The AI may combine this with statistical predictions or
other logic for a holistic recommendation.
8. Sample System Architecture Diagram
[User/Agent Query]
|
v
[AI System Core] ----> [Yijing Decision Engine]
| |
|<---(hexagram/advice)---|
v
[Response Generator]
|
v
[User Output]
9. Best Practices and Considerations
- Transparency:
Always explain how the Yijing advice was derived.
- Ethical
Framing: Make clear that the advice is reflective/philosophical, not
deterministic.
- Customization:
Allow users to adjust how much weight the Yijing engine has in the final
decision.
- Logging:
Track when and how the Yijing engine is used for future analysis and
improvement.
10. Example: Python Integration Snippet
Python
# In your AI system's decision pipeline
from yijing_engine import yijing_decision_engine
def ai_decision_support(user_query):
# ... (other AI logic)
binary_input = encode_situation(user_query) # Custom
function
yijing_result = yijing_decision_engine(binary_input)
explanation = (
f"According to the Yijing (Hexagram:
{yijing_result['hexagram']}), "
f"the virtue is '{yijing_result['virtue']}'. Advice:
{yijing_result['advice']}"
)
# Combine with other AI outputs as needed
return explanation
``
In summary:
Integrate the Yijing algorithm as a modular, explainable reasoning engine
within your AI system. Use it for decision support, ethical reflection, or as a
unique “oracle” layer, and ensure its outputs are transparent, actionable, and
harmonized with the rest of your AI’s logic.
More info is available at https://prebabel.blogspot.com/2026/01/yijing-toe-by-tienzen-gong.html
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