5 papers
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…
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…
Self-Evolving Coordination Protocol in Multi-Agent AI Systems: An Exploratory Systems Feasibility Study
Jose Manuel de la Chica Rodriguez, Juan Manuel Vera Díaz
Contemporary multi-agent systems increasingly rely on internal coordination mechanisms to combine, arbitrate, or constrain the outputs of heterogeneous components. In safety-critic…
Towards Domain Independence in CNN-based Acoustic Localization using Deep Cross Correlations
Juan Manuel Vera-Diaz, Daniel Pizarro, Javier Macias-Guarasa
Time delay estimation is essential in Acoustic Source Localization (ASL) systems. One of the most used techniques for this purpose is the Generalized Cross Correlation (GCC) betwee…
Towards End-to-End Acoustic Localization using Deep Learning: from Audio Signal to Source Position Coordinates
Juan Manuel Vera-Diaz, Daniel Pizarro, Javier Macias-Guarasa
This paper presents a novel approach for indoor acoustic source localization using microphone arrays and based on a Convolutional Neural Network (CNN). The proposed solution is, to…