Locality

Study proposes learnable communication graphs for multi-agent systems, enabling dynamic information sharing that adapts to task demands and reduces computational resource consumption.

SLAWS framework enhances sparse matrix multiplication by analyzing data locality patterns and orchestrating workloads adaptively, overcoming limitations of fixed-architecture accelerators.

Contextual Bohmian Mechanics with local context field resolves Albert's Macro-Object Problem for primitive ontology quantum mechanics through hylomorphic composition of matter and form.