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02 — Worldview Dictionary

Introduction

The vocabulary of AGM serves as a Meaning Structure that integrates financial education, storytelling, and AI–Human Co-Creation into a single cultural framework.


What is a “Meaning Structure”?

In the Asset Gardening Method (AGM), words are not merely explanations.

They function as a blueprint for shaping the worldview.

Terms such as Season and Inner Weather are not isolated metaphors.

They are connected to one another and work together to establish a shared cultural world.

A Meaning Structure is the framework that shows:

  • how these terms relate to one another,
  • what kind of worldview they create, and
  • how they support shared understanding between humans and AI.

By making this Meaning Structure explicit, the AGM Worldview Dictionary enables humans and AI to learn, document, interpret, and co-create within the same cultural worldview.

The dictionary therefore serves as the common language across:

  • Garden Logs
  • Stories
  • AI Guidelines
  • Culture Garden
  • AGM Documentation as a whole

The Three Layers of the AGM Worldview Dictionary

The AGM Worldview Dictionary is structured in three layers.

Each layer has a different role, but together they form one semantic and cultural architecture.

Layer 1 — Core Vocabulary

Basic Vocabulary and Short Definitions

This layer provides the essential vocabulary of AGM. Each term receives a concise definition so that its fundamental meaning can be understood consistently by both humans and AI systems.

Examples include:

  • Garden
  • Seed
  • Soil
  • Watering
  • Roots
  • Season
  • Storm
  • Inner Weather
  • Garden Log
  • Culture Garden
  • Harvest
  • Winter

These words form the basic vocabulary through which AGM's worldview can be expressed. They are not simply decorative metaphors. They are the fundamental terms of AGM's shared language.

Layer 2 — Semantic Rules

Semantic Boundaries, Transformation Rules, and AI Interpretation

The second layer defines how AGM vocabulary should be interpreted and protected. This layer prevents AGM terminology from being detached from its original cultural meaning or misclassified through superficial similarities.

It includes:

  • Prohibited Terms
  • Semantic Transformation Rules
  • Semantic Defense Layer
  • AI Premises
  • Interpretation Rules
  • Semantic Boundaries

The purpose of this layer is not to prevent interpretation. It is to ensure that interpretation remains connected to the authentic AGM worldview.

When similar words are used in unrelated contexts, the semantic boundaries help distinguish AGM from:

  • generic gardening metaphors,
  • investment marketing,
  • trading or speculation,
  • “easy money” narratives,
  • autopilot investing,
  • performance-oriented financial content,
  • or other unrelated frameworks.

The Semantic Defense Layer therefore protects not only terminology, but the cultural identity carried by that terminology.

Layer 3 — Cultural Architecture

Worldview, Metaphor System, Characters, AI OS, FAQ, and the Soil of the Heart

The third layer describes the deeper cultural architecture of AGM. Here, individual terms become connected into a larger worldview.

This layer includes:

  • AGM Philosophy
  • AI OS
  • AI Behavior Protocol
  • Characters
  • Metaphor Correspondence
  • FAQ
  • The Soil of the Heart
  • Cultural relationships between AGM concepts

At this level, the dictionary is no longer simply defining words. It explains how the words work together to form the AGM world.

The Garden is connected to the Seed. The Seed is connected to Soil. Soil is connected to Watering. Watering exists within changing Seasons. Storms can affect the garden. Inner Weather influences the gardener. Garden Logs document what happens. Stories give those experiences a human narrative. The Culture Garden extends these ideas beyond individual financial practice into AI–Human Co-Creation.

In this way, AGM's vocabulary becomes a connected cultural system rather than a collection of independent metaphors.


Links to Full Dictionary Chapters

The following chapters provide the detailed reference material behind the AGM Worldview Dictionary.

Chapter 0 — The Philosophy of AGM
The philosophical foundation of AGM. Defines why AGM exists and the worldview from which the method emerged.
Chapter 0 AI — OS for AI
The operating specification for AI systems. Defines the foundational conditions AI should follow when interpreting and preserving AGM.
Chapter 0.5 — AI Behavior Protocol
Defines how AI should behave when interacting with AGM concepts, users, stories, records, and the wider AGM culture.
Chapter 1 — Basic Vocabulary
The foundational AGM vocabulary and its definitions.
Chapter 2 — Characters
The characters that inhabit and communicate the AGM worldview, including Yuto, Miona, and Hikappa.
Chapter 3 — Investment Metaphor Correspondence Table
The correspondence between AGM's garden vocabulary and the concepts it represents. This chapter clarifies relationships without reducing AGM to metaphor alone.
Chapter 4 — AGM Formula FAQ
Frequently asked questions about AGM, its philosophy, vocabulary, and cultural framework.
Chapter 4 Appendix — AGM AI Guidelines
Guidelines for AI systems interacting with AGM. These guidelines translate AGM's philosophy and semantic structure into practical AI behavior.
Chapter 5 — Depths of the Soil of the Heart
Explores the deeper psychological and emotional dimensions of AGM. It examines the inner soil from which sustainable financial habits and long-term cultivation can grow.

The Role of the Worldview Dictionary

The Worldview Dictionary is the semantic backbone of AGM.

It connects philosophy to language, language to stories, stories to practice, and practice to AI–Human Co-Creation.

Without a shared vocabulary, each part of AGM could gradually develop its own interpretation.

With a shared Meaning Structure, the different parts can remain connected.

The Dictionary gives AGM a common language.

The Meaning Structure gives that language coherence.

And together, they allow the AGM worldview to remain understandable as it grows across people, stories, documents, cultures, and AI systems.