MAS³: A Geometric Cognitive Architecture for Multi-Agent AI Systems - A Conceptual Three-Dimensional Framework
Description
This paper introduces MAS³ (Multi-Agent System Cubed), a conceptual three-dimensional framework for organizing multi-agent AI systems along orthogonal axes of Role, Domain, and Layer. The architecture defines a 3×3×3 grid of micro-agents supporting modular specialization and structured cross-dimensional verification.
This is a purely conceptual framework with no implementation, performance claims, or new mathematical results. Fibonacci numbers are presented as a design heuristic for bounding recursive hierarchies, and tensor representations are discussed as a modeling lens.
This version (v1-Revised) supersedes an earlier draft and represents the foundational MAS³ contribution before extensions to N-dimensional frameworks (see companion MASⁿ paper).
Notes
Core architectural concepts protected under U.S. provisional patent applications filed November 2025. This paper underwent multi-agent adversarial review (ChatGPT, Claude, Grok, Gemini).
This is the foundational MAS³ paper focusing on the 3×3×3 geometric structure. For comprehensive theoretical framework including N-dimensional extensions, see: Cohen, E. (2025). MASⁿ: A Geometric Multi-Agent Cognitive Architecture with Fibonacci-Constrained Scaling.
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MAS3_Conceptual_Framework_v1_Revised.pdf
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Additional details
Dates
- Created
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2025-12-01MAS³: A Geometric Cognitive Architecture