collaborators

7 papers

cs.MA2026

When Not to Automate: A Formal Protocol for Human Preservation in AI-Optimized Organizations

Jose Manuel de la Chica Rodriguez, Jairo Rodriguez Arias, Spyridon Chouliaras

Standard automation ROI misses four categories of systemic risk -- tacit knowledge erosion, resilience reduction, regulatory exposure, and socio-institutional capital degradation -…

cs.RO2026

Auction-Consensus Algorithm with Learned Bidding Scheme for Multi-Robot Systems

Jose Rodriguez, Constantine Tarawneh, Sven Koenig +2

Multi-Robot Task Allocation (MRTA) is a central challenge in decentralized multi-agent systems, where teams of robots must cooperatively assign and execute tasks under limited comm…

cs.CL2026

Mechanical Enforcement for LLM Governance:Evidence of Governance-Task Decoupling in Financial Decision Systems

José Manuel de la Chica Rodríguez, Carlos Martí-González

Large language models in regulated financial workflows are governed by natural-language policies that the same model interprets, creating a principal--agent failure: outputs can ap…

cs.MA2026

When Stress Becomes Signal: Detecting Antifragility-Compatible Regimes in Multi-Agent LLM Systems

Jose Manuel de la Chica, Juan Manuel Vera, Jairo Rodríguez

Multi-agent LLM systems are increasingly used to solve complex tasks through decomposition, debate, specialization, and ensemble reasoning. However, these systems are usually evalu…

cs.MA2026

Selection as Power: Constrained Reinforcement for Bounded Decision Authority

Jose Manuel de la Chica Rodriguez, Juan Manuel Vera Díaz

Selection as Power argued that upstream selection authority, rather than internal objective misalignment, constitutes a primary source of risk in high-stakes agentic systems. Howev…

cs.MA2026

Towards Selection as Power: Bounding Decision Authority in Autonomous Agents

Jose Manuel de la Chica Rodriguez, Juan Manuel Vera Díaz

Autonomous agentic systems are increasingly deployed in regulated, high-stakes domains where decisions may be irreversible and institutionally constrained. Existing safety approach…