Interpretationdeclarative

Interpretationdeclarative is a term used to describe a programming paradigm that combines declarative specification with interpreter-based execution. In this approach, programs express what should be computed through rules, facts, and constraints, while an interpreter determines how to apply those rules to produce results. The focus is on describing desired outcomes rather than detailing step-by-step procedures, with interpretation handling the application of semantics such as logical inference or rule chaining.

Key characteristics include a emphasis on declarative clarity and separation of concerns, where the developer specifies relationships and constraints and the interpreter handles evaluation. Programs are typically more amenable to reasoning about correctness and transformations, and they may be portable across platforms because the underlying interpreter provides the execution model. The approach often features dynamic semantics, allowing rules to be added, modified, or retracted at runtime, which can support live configuration, adaptive systems, and interactive querying.

Common contexts for interpretationdeclarative systems include knowledge representation, rule-based reasoning, data integration, configuration management, and domain-specific languages. Core technologies associated with this space include logic programming languages (such as Prolog and Datalog), rule engines, and other declarative systems that rely on an interpreter to apply inference rules or queries. While not a single standardized language family, interpretationdeclarative concepts appear in architectures that rely on high-level declarative specifications executed by interpreters rather than compiled code.

See also: declarative programming, logic programming, interpreter, rule engine, knowledge representation, data transformation.