3 مستودعات
Implementations of the Rete algorithm for efficient rule-based pattern matching by reducing redundant evaluations.
Distinct from Rule-Based Pattern Matching: None of the candidates cover the Rete algorithm; they focus on string, role, or library matching.
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This project is a business rules management system and rule engine designed to define, execute, and manage complex business logic decoupled from application source code. It provides a business logic compiler that transforms human-readable rule definitions into executable models for high-performance runtime evaluation. The system includes a complex event processing engine for analyzing real-time data streams to identify temporal patterns and a decision model and notation executor that processes structured logic based on industry standards for deterministic results. It utilizes an inference eng
Uses a Rete-based pattern matching network to efficiently evaluate rules and avoid redundant condition checks.
Grule is a business rule engine for Go that decouples complex decision-making logic from core application code. It provides a framework for defining, versioning, and executing business rules through a domain-specific language, allowing logic to be managed independently of the underlying software implementation. The engine distinguishes itself by utilizing a formal grammar-based parser and a Rete-inspired pattern matching algorithm to evaluate logic against data facts efficiently. It supports dynamic system modeling by enabling runtime updates to policies and providing thread-safe knowledge ba
Organizes rule conditions into a directed graph to efficiently evaluate logic against data facts.
Clara Rules is a declarative logic programming library and business rules management system designed for Clojure and Java applications. It functions as a forward-chaining inference engine that evaluates business logic by matching data patterns against defined rules, allowing developers to derive new information and trigger automated actions based on the current state of a fact set. The engine utilizes a directed acyclic graph for pattern matching, which enables efficient evaluation across complex rule sets. It incorporates a truth maintenance system that tracks dependencies between facts and
Utilizes the Rete algorithm to efficiently match facts against complex rule conditions using a directed acyclic graph.