# Technical Document Extraction: Taxonomy of Artificial Intelligence
## 1. Image Overview
This image is a nested Euler diagram (often referred to as an "onion diagram") illustrating the hierarchical relationships and sub-fields within the domain of Artificial Intelligence. It uses concentric ovals and distinct circular nodes to represent subsets and specific technologies.
## 2. Component Isolation and Hierarchy
The diagram is organized into five primary nested layers, with several independent nodes situated within specific layers.
### Layer 1: Artificial Intelligence (Root Container)
* **Visual Description:** The outermost, light-blue oval.
* **Contained Elements:** Contains all other layers and nodes.
* **Independent Nodes (Peer to Connectionism):**
* **Symbolism:** Located in the upper-right quadrant.
* **Actionism:** Located in the lower-right quadrant.
### Layer 2: Connectionism
* **Visual Description:** The second largest oval, nested within Artificial Intelligence.
* **Contained Elements:** Contains Machine Learning and the Perceptron node.
* **Independent Node:**
* **Perceptron:** Located on the right side, within Connectionism but outside the Machine Learning boundary.
### Layer 3: Machine Learning
* **Visual Description:** The third nested oval, medium-blue.
* **Contained Elements:** Contains Deep Learning and the Shallow Learning node.
* **Independent Node:**
* **Shallow Learning:** Located on the right side, within Machine Learning but outside the Deep Learning boundary.
### Layer 4: Deep Learning
* **Visual Description:** The fourth nested oval, darker blue.
* **Contained Elements:** Contains the Transformer layer and specific neural architecture nodes.
* **Internal Nodes:**
* **Neural Network:** Located in the upper-right of the Deep Learning oval.
* **LSTM (Long Short-Term Memory):** Located in the lower-center of the Deep Learning oval.
### Layer 5: Transformer
* **Visual Description:** The innermost oval, darkest shade of medium blue.
* **Contained Elements:** Contains the most specific technology nodes.
* **Specific Nodes:**
* **LLM (Large Language Model):** Darkest blue circle on the left.
* **MLLM (Multimodal Large Language Model):** Darkest blue circle on the right.
---
## 3. Textual Data Extraction
The following table transcribes all labels found within the diagram, mapped to their hierarchical depth.
| Level | Label | Context/Category |
| :--- | :--- | :--- |
| 1 | **Artificial Intelligence** | Primary Domain |
| 2 | **Symbolism** | AI Sub-field (Non-connectionist) |
| 2 | **Actionism** | AI Sub-field (Non-connectionist) |
| 2 | **Connectionism** | AI Sub-field (Parent of ML) |
| 3 | **Perceptron** | Connectionist Model (Pre-ML/Simple ML) |
| 3 | **Machine Learning** | Connectionist Sub-field |
| 4 | **Shallow Learning** | ML Category (Non-Deep) |
| 4 | **Deep Learning** | ML Sub-field |
| 5 | **Neural Network** | Deep Learning Component |
| 5 | **LSTM** | Deep Learning Architecture |
| 5 | **Transformer** | Deep Learning Architecture Category |
| 6 | **LLM** | Transformer-based Model |
| 6 | **MLLM** | Transformer-based Model |
---
## 4. Logical Flow and Relationships
Based on the spatial grounding of the diagram, the following logical conclusions are established:
1. **The Core:** The most specific technologies currently highlighted are **LLM** and **MLLM**, which are types of **Transformers**.
2. **The Deep Learning Umbrella:** Transformers, LSTMs, and Neural Networks are all categorized under **Deep Learning**.
3. **The Machine Learning Distinction:** The diagram distinguishes between **Deep Learning** and **Shallow Learning**, both of which fall under the broader **Machine Learning** umbrella.
4. **The Connectionist Lineage:** Machine Learning and Perceptrons are presented as subsets of **Connectionism**.
5. **The Broad AI Landscape:** Artificial Intelligence is the superset that includes Connectionism, but also includes distinct, non-nested fields like **Symbolism** and **Actionism**.
