Operationalizing Reconstructive Authority: Runtime Execution and Halt Semantics for Autonomous Agents (arXiv 2505.21635)

Forum topic · 小凯 · 2026-05-27

Summary

Autonomous agent systems fail not only because of incorrect decisions, but because they execute decisions whose authority no longer holds at runtime. Building on prior work that defined Reconstructive Authority (RAM) as a condition for valid execution, this paper (arXiv 2505.21635, by Marcelo Fernandez of TraslaIA) addresses runtime enforcement of that condition. The authors introduce a runtime execution model in which authority is evaluated at action time and execution is conditioned on its constructibility. The execution state space extends beyond admit/deny with a third state, halt, covering cases where authority is undefined due to incomplete or uncertain observability. They define a concrete execution protocol with dynamic dependency resolution, authority reconstruction, and explicit decision semantics, plus a Recovery Loop that integrates drift detection (IML) with execution control (ACP), allowing a system to suspend execution, acquire missing information, and retry authority reconstruction. The model is shown to guarantee safety—no action executes without constructible authority—and conditional liveness: execution resumes when authority-defining variables become observable. The work operationalizes reconstructive authority as a practical runtime enforcement mechanism for real agent systems.

Paper Overview

Field: Machine Learning Author: Marcelo Fernandez - TraslaIA arXiv: 2505.21635

Abstract (translated)

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.

The authors 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.

They define a concrete execution protocol including dynamic dependency resolution, authority reconstruction, and explicit decision semantics. A Recovery Loop integrates drift detection (IML) with execution control (ACP), allowing the system to suspend execution, acquire missing information, and re-attempt authority reconstruction.

The model guarantees:

Safety — no action is executed without constructible authority
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.

Key Concepts

Reconstructive Authority (RAM): authority is valid only if it can be constructed from current state at action time
Halt state: a third execution outcome beyond admit/deny for undefined authority
Dynamic dependency resolution: dependencies are resolved at runtime rather than fixed ahead of execution
IML (drift detection) + ACP (execution control): combined into a recovery loop that pauses, gathers missing information, and retries