Paper 2: AGI Path Integrals

Category: agi_theory Status: Pre-filesystem foundational work Implementation: drive.py

Abstract

AGI Path Integrals extend Feynman’s path integral formulation from quantum mechanics to AGI decision-making. Rather than a particle taking all possible paths, an AGI system evaluates all possible action trajectories, weighting each by its utility amplitude.

Theoretical Framework

The path integral approach to AGI provides:

• A principled method for integrating over all possible decision paths
• Amplitude-weighted trajectory evaluation for action selection
• Quantum-inspired superposition of strategies before commitment
• A natural framework for exploration-exploitation balance

The key insight is that AGI decision-making can be formulated as a sum over histories, where each possible action sequence contributes to the final decision with a phase determined by its expected utility.

Implementation Notes

The primary implementation lives in drive.py, which operationalizes path integral concepts as the motivational and goal-pursuit engine of the MASCOM system.

Historical Context

This is one of the 13 original Mobley research papers that predate the MASCOM filesystem. Part of John Mobley’s theoretical groundwork connecting quantum mechanical formalism to AGI architecture.

Pre-filesystem theoretical work — stub created 2026-03-09 from papers.db and context.db records.