FunctorialMapping
Solve complex problems by abstracting them into Category Theory and mapping them to domains with superior tools.
Category: Reasoning
Model: GPT-4 Preferred
Side-Effect Safe
⚙️ FunctorialMappingTaskExecutionConfigData.json
{
"problem_statement": "Optimize global logistics routes",
"source_category_definition": "Supply Chain Nodes and Shipping Lanes",
"target_category_definition": "Weighted Directed Graphs",
"functor_properties": "covariant"
}
→
👁️ Session UI (TabbedDisplay Output)
1. Categories
2. Functor
3. Transport
...
Formalizing Categories...
Source Category (C):
- Objects: {Ports, Warehouses}
- Morphisms: {Shipping Routes}
Target Category (D):
- Objects: {Vertices}
- Morphisms: {Edges with weights}
- Objects: {Ports, Warehouses}
- Morphisms: {Shipping Routes}
Target Category (D):
- Objects: {Vertices}
- Morphisms: {Edges with weights}
Test Workspace Browser
Explore the artifacts, transcripts, and category formalizations generated during task execution.
Execution Configuration
| Field | Type | Description |
|---|---|---|
problem_statement * |
String | The specific problem in the Source Category to be solved. |
source_category_definition * |
String | The rules of the current domain (Source Category). |
target_category_definition * |
String | The rules of the destination domain (Target Category). |
functor_properties |
String | Constraints on the mapping (e.g., 'covariant', 'contravariant'). Default: covariant. |