EVA-Gen: When Perception Learns from Value via Generative Models in Decentralized Multi-Agent Systems
This work proposes EVA-Gen (Epistemic Value Alignment via Generative Models) that establishes a cybernetic loop between generative perception and value based decision making, and forms the Value Conditioned Reconstruction Paradigm, establishing that optimal perception under resource constraints is functionally weighted...