Concepts

Agency Framework Mandala

The Agency Framework Mandala defines who acts, who decides, who validates, and who bears consequences in mandala-aligned systems, ensuring that agency does not silently collapse across humans, AI systems, composite agents, or institutions.

Identity

This concept governs roles and accountability, not metaphysical agency. It explicitly bounds authority, ensuring that AI systems are never assigned metaphysical agency, nor are they implied to have the capacity to authorize action.

Why it matters

Without a structured agency framework, decision authority diffuses across the network, making it impossible to audit who validated an action or who is accountable for a failure, which leads to agency collapse.

Core distinction

Agency is not capability. Execution tools run processes, but the agency framework determines which agent has the authority to make decisions and validate outputs. AI execution remains strictly subordinate, with no decision authority silently assumed or delegated.

Structural role

Within the MoM meta-architecture, this framework supports Big Net by preserving responsibility and accountability across relationships, preventing unowned behavior and ensuring all validation events trace back to human authority.

Failure modes

These are the structural problems that appear when the concept is ignored, collapsed, hidden, or misapplied.

  • responsibility diffusion
  • unauthorized delegation
  • validation bypassing
  • consequence detachment
  • automated decision inference

Related concepts

Minimal links that deepen the distinction without turning this page into a dense graph.

Canonical restraint

Every action and validation event must map to an authorized agent under defined constraints, with no decision authority silently assumed by the system.