Operandusai

Operandusai are autonomous software agents specialized in managing and optimizing operands within mathematical expressions and data-flow computations. They coordinate selection, retrieval, transformation, and evaluation of operands—values that participate in operators such as addition or function application—within symbolic algebra, numerical simulation, and code generation workflows.

The name blends operand, the element acted upon, with AI, a common abbreviation for artificial intelligence. The plural operandusai mirrors naming conventions used for AI systems. The term appeared in theoretical and applied computing literature in the late 2010s to describe agent-based coordination in expression evaluation.

Typically, an operandusai is part of a multi-agent system, acting as a library or plugin that attaches to a computer algebra system, a compiler pass, or a tensor framework. It coordinates roles, shares results, and orders evaluation to reduce cost.

Applications include computer algebra, automatic differentiation pipelines, and code generation, as well as theorem proving and education about expression optimization.

Variants include operand selector AI (OSA) for choosing operands to materialize; evaluator AI (EAI) for calculations; and memory-management AI (MMAI) for caching and cost tracking.

Operandusai remain largely theoretical, with ongoing research and challenges in explainability, reproducibility, and integration with numerical stability guarantees.

See also: symbolic computation, computer algebra systems, automatic differentiation, compiler optimizations, multi-agent systems.