Intelligence Class Ladder — Research Index

TriadicFrameworks · docs/Research/Intelligence_Class_Ladder

This index maps the three primary intelligence classifications within the TriadicFrameworks Intelligence Class Ladder. Each module documents the capabilities, thresholds, and theoretical boundaries that define its respective class.

Overview#

The Intelligence Class Ladder is a structured framework for distinguishing between ascending tiers of artificial cognition — from narrow, task-scoped systems to the theoretical apex of superintelligent capability. The three modules below form the core triadic structure.

Modules#

1. Artificial Applied Intelligence (AAI)#

Covers intelligence systems bounded by specific domains and predefined task sets. AAI represents the current operational reality of deployed AI — capable within scope, but lacking generalization.

→ Read AAI Module

2. Artificial General Intelligence (AGI)#

Addresses the threshold at which a system can perform any intellectual task a human can, with cross-domain reasoning, learning transfer, and autonomous goal-setting. AGI marks the pivotal transition from narrow to broad cognition.

→ Read AGI Module

3. Artificial Superintelligence (ASI)#

Explores intelligence that surpasses all human cognitive capacity across every dimension — scientific reasoning, creativity, social intelligence, and strategic planning. ASI represents the upper bound of the Intelligence Class Ladder.

→ Read ASI Module

Class Ladder at a Glance#

Last updated: 2026-08-30 · TriadicFrameworks Research Division

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**What's included:**

- **Top-level header** with the TriadicFrameworks project path for context
- **Overview section** framing the purpose of the ladder as a whole
- **Three module sections** — each with a short description and a clean relative Markdown link (`./AAI.md`, `./AGI.md`, `./ASI.md`)
- **Summary table** giving a quick-scan view of scope, key trait, and theoretical status for each class