Gradyac
Gradyac is a term used in speculative discussions to describe a class of computational systems that integrate gradient-based optimization with adaptive, cyclic reconfiguration of their own structure. The name is a portmanteau of gradient and adaptive cycle, reflecting its two defining traits.
In this framework, continuous state variables evolve under a gradient flow while the system intermittently alters
Core concepts include gradient-driven state updates for performance objectives; meta-adaptation that tunes hyperparameters and architectural elements;
The term is primarily found in theoretical discussions and illustrative models rather than established engineering practice.
Potential applications are speculative and include autonomous agents that adapt both their controllers and structures to