Agentic Maneuverability Score

The Agentic Maneuverability (AM) Score is a protocol for cognitive resource allocation within AetherOS. Its primary function is to determine the "virtuousness" of deploying a specific AI agent for a specific task, given the real-time state of the system's available resources.

The score is the output of a calculation that treats the agent, the task, and the system not as abstract software entities, but as components in a single cyber-physical system. It grounds abstract computational requests in the concrete realities of supply and demand, drawing direct inspiration from the principles of Energy-Maneuverability Theory.

Core Philosophy: The Battlecruiser and the F-16

The AM Score is not a measure of whether a model is "good" or "bad." It is a measure of appropriateness. A battlecruiser is not a failed F-16; it is a different class of vessel with a different set of capabilities and resource requirements.

The AM protocol is designed to prevent the misuse of agents by ensuring the system only commits to actions that are virtuous. A virtuous action is one where the capabilities of the agent are well-matched to the demands of the task, and the capacity of the system is sufficient to support the effort without compromising its own integrity.

The OODA Loop Framework

The AM Score protocol is a direct implementation of the OODA Loop, a strategic framework for rational decision-making in dynamic environments.

• Observe: The system gathers real-time data on three components:
  • The System Maneuverability Score (Y): The available computational and energy capacity of the host system.
  • The Agent (Z): The intrinsic characteristics of the selected AI model, drawn from the Agentic Maneuverability Almanac.
  • The Task (X): The projected demands of the proposed mission, drawn from a registry of task profiles.
• Orient: The system applies the Universal Agentic Maneuverability Equation to synthesize the observed data into a single, coherent metric: the Task Load. This orients the system by providing a unified understanding of the mission's cost.
• Decide: The final Virtuousness Score (System Maneuverability / Task Load) provides the basis for a clear, threshold-based decision.
• Act: A user or automated system acts on the decision, proceeding with the mission only if the action is deemed virtuous (i.e., the score is sufficiently high).

Technical Description

The core of the protocol is the Universal AM Equation, which calculates a projected Task Load—a dimensionless quantity representing the holistic stress a given mission will place on the system.

Equation v2

The second iteration of the equation is defined as: $\text{Task Load}=\frac{((P\times W_p)+(T_o\times W_t))\times F_c}{\sqrt{V_c}+D_v}$

Where:

• P is the size of the agent's underlying model in billions of parameters. This represents the agent's "cognitive mass" or inertia.
• W_p is the Parameter Weight, a tunable constant of the ecosystem that scales the influence of model size.
• T_o is the Expected Output Tokens, representing the anticipated volume of cognitive work required by the task.
• W_t is the Token Weight, a constant scaling the cost of generating each unit of output.
• F_c is the Cognitive Load Factor, a multiplier derived from a qualitative assessment of the task's intrinsic difficulty (e.g., "low", "medium", "high").
• V_c is the agent's Cognitive Velocity, measured in tokens per second (tps) on a baseline hardware profile. This represents the agent's raw processing speed or "thrust."
• D_v is the Velocity Dampener, a constant that prevents division by zero and smooths the impact of velocity.

The final Virtuousness Score is then calculated by comparing the system's capacity to the projected load: $\text{Virtuousness}=\frac{\text{System Maneuverability}}{\text{Task Load}}$

A score greater than 1.0 indicates a virtuous action, meaning the system has ample capacity to handle the load efficiently. A score less than 1.0 indicates the action will stress the system, consuming more resources than are sustainably available and potentially leading to degraded performance or instability.