Operationalizing Reconstructive Authority: Runtime Construction, Dependency Resolution, and Execution Gating in Autonomous Agent Systems
Quick Answer
This paper introduces a runtime execution model for autonomous agent systems that enforces Reconstructive Authority (RAM) by evaluating authority at action time.
Quick Take
This paper introduces a runtime execution model for autonomous agent systems that enforces Reconstructive Authority (RAM) by evaluating authority at action time. It includes a Recovery Loop for drift detection and execution control, ensuring safety and conditional liveness during decision-making processes. The model allows for suspension and re-attempt of authority reconstruction when necessary.
Key Points
- Introduces a runtime model for enforcing Reconstructive Authority in autonomous agents.
- Extends execution states to include a 'halt' state for undefined authority.
- Incorporates dynamic dependency resolution and explicit decision semantics.
- Features a Recovery Loop for drift detection and information acquisition.
- Guarantees safety by preventing actions without constructible authority.
Paper Resources
Article Content
From source RSS / original summaryarXiv:2605. 23935v1 Announce Type: new Abstract: Autonomous agent systems fail not only due to incorrect decisions, but due to executing decisions whose authority no longer holds at runtime. Prior work defined Reconstructive Authority (RAM) as a condition for valid execution: actions are permitted only if authority can be constructed from current state. This paper addresses enforcement at runtime: how to enforce this condition in a running system.
We introduce a runtime execution model in which authority is evaluated at action time and execution is conditioned on its constructibility. This extends the execution state space beyond admit/deny with a third state, halt, representing cases where authority is undefined due to incomplete or uncertain observability. We define a concrete execution protocol including dynamic dependency resolution, authority reconstruction, and explicit decision semantics.
We further introduce a Recovery Loop that integrates drift detection (IML) with execution control (ACP), allowing the system to suspend execution, acquire missing information, and re-attempt authority reconstruction. We show that this model guarantees safety -- no action is executed without constructible authority -- and conditional liveness: execution resumes when authority-defining variables become observable.
This work operationalizes reconstructive authority as a runtime enforcement mechanism, providing the execution semantics required to apply RAM in real systems.
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