Spin-Glass Models

Definition ∞ Spin-Glass Models are statistical physics models used to study systems with quenched disorder and frustration, exhibiting many metastable states. These models are applied in various fields, including neural networks, combinatorial optimization, and complex systems analysis. They help understand disordered magnetic systems. Their application extends to complex systems behavior.
Context ∞ While primarily a concept from physics, spin-glass models can sometimes be referenced in advanced theoretical discussions related to complex adaptive systems within digital asset networks, particularly concerning network stability or emergent behaviors in decentralized protocols. News rarely features this term directly, but it underpins certain academic analyses. This theoretical framework offers insights into system dynamics.