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A business rules engine is a software system that executes one or more business rules in a runtime production environment.The rules might come from legal regulation ("An employee can be fired for any reason or no reason but not for an illegal reason"), company policy ("All customers that spend more than $100 at one time will receive a 10% discount"), or other sources.
A typical rule-based system has four basic components: [3] A list of rules or rule base, which is a specific type of knowledge base.; An inference engine or semantic reasoner, which infers information or takes action based on the interaction of input and the rule base.
The OMG Decision Model and Notation standard is designed to standardize elements of business rules development, specially decision table representations. There is also a standard for a Java Runtime API for rule engines JSR-94. OMG Business Motivation Model (BMM): A model of how strategies, processes, rules, etc. fit together for business modeling
Trinzic Corp., Palo Alto, Calif., has unveiled The Aion Development System (AionDS) Version 6.4, an upgrade to the company's development environment for building business process automation applications. Version 6.4 provides a visual development environment for Microsoft Windows or OS/2 PM applications using business rules.
Business Rules Engine – Drools Expert using the Rete algorithm and the Drools Rule Language (DRL) [8] Business Rules Manager – Drools Guvnor - Guvnor is a centralized repository for Drools Knowledge Bases, with rich web-based GUIs, editors, and tools to aid in the management of large numbers of rules.
Rather than a procedural paradigm, where one program has a loop that is activated only one time, the declarative paradigm used by Jess applies a set of rules to a set of facts continuously by a process named pattern matching. Rules can modify the set of facts, or can execute any Java code. It uses the Rete algorithm [1] to execute rules.
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Category: Rule engines. ... Rule-based system; RuleML; V. Versata This page was last edited on 13 October 2018, at 03:03 (UTC). Text is available under ...