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What is a Business Rules Approach?
A business rules approach is a methodology—and possibly special technology—by which you capture, challenge, publish, automate, and change rules from a strategic business perspective. The result is a business rules system, an automated system in which the rules are separated, logically and perhaps physically, from other aspects of the system and shared across data stores, user interfaces, and perhaps applications.
BRMS: Motores de reglas de negocio
Investigación sobre motores de reglas, con gran parte teórica y una comparativa con diferentes productos.\n\nLos sistemas BRM proveen un entorno centralizado y aislado para la creación y administración de las reglas de negocio, permitiendo que los analistas del negocio puedan ver y entender las reglas sin tener que depender del desarrollo de cambios para aplicar modificaciones al negocio. El objetivo principal de un BRMS es desacoplar la lógica de negocio de su lógica de validación de datos y de su flujo de ejecución.
Business rules approach - Wikipedia
The Business Rules Approach is a development methodology where rules are in a form that is used by, but does not have to be embedded in, business process management systems.
Rule of inference - Wikipedia
n logic, a rule of inference (also called a transformation rule) is a syntactic rule used in a formal system which is used to produce valid statements within that system. A formal system is comprised of a formal language and a deductive system. Rules of inference, along with any axioms or axiom schemata it uses to derive valid formulas, comprise the deductive system of the formal system.
First-order logic - Wikipedia
First-order logic is a formal logic used in mathematics, philosophy, linguistics, and computer science. It goes by many names, including: first-order predicate calculus, the lower predicate calculus, and predicate logic. First-order logic is distinguished from propositional logic by its use of quantifiers; each interpretation of first-order logic includes a domain of discourse over which the quantifiers range.
IBM Industry Models and ILOG business rules management systems, Part 1: Define business rules using IBM Industry Models
This is the first of two articles in a series that identifies the nature of business rules and the relationship of these rules to IBM® Industry Models. In particular, this article references the deployment stages of the IBM Industry Models during which rules analysis and design should be considered, and how rules can be identified and managed. The second article in this series discusses taking these analysis and design structures into the ILOG rule management environment to develop completed rulesets.
The role of a rules architect
The role of a rules architect: The business rules architect plays a crucial role designing business rules models that are well organized and intuitive for both technical and business stakeholders to understand. This article discusses the importance of the role and uses the business rules development life cycle to describe the responsibilities of the rules architect in creating a reliable and extensible business rules implementation.
The evolving role of the business analyst - IBM
Traditionally, the business analyst has been responsible for analyzing the business needs of companies by identifying business problems and proposing solutions. With the advent of Service-Oriented Architecture (SOA), the business analyst has to think about issues such as IT services and how to define business logic as rules for easier and faster change cycles. Thus, a new position called the business rules analyst has emerged. This article will examine the role of this new star in the business world and will also help you understand how this role can help improve the return on investment (ROI) on your business applications.
Production system - Wikipedia
A production system (or production rule system) is a computer program typically used to provide some form of artificial intelligence, which consists primarily of a set of rules about behavior. These rules, termed productions, are a basic representation found useful in AI planning, expert systems and action selection. A production system provides the mechanism necessary to execute productions in order to achieve some goal for the system.
Wikipedia: Inference engine
In computer science, and specifically the branches of knowledge engineering and artificial intelligence, an inference engine is a computer program that tries to derive answers from a knowledge base. It is the "brain" that expert systems use to reason about the information in the knowledge base for the ultimate purpose of formulating new conclusions. Inference engines are considered to be a special case of reasoning engines, which can use more general methods of reasoning.
Do You Really Need RETE?
As anyone knows who has been to a Business Rules presentation, it's all about RETE. Who has the best RETE? Which engines are mere pretenders and don't actually have RETE? Which poor slobs have only partially baked version of RETE? Which brings us to the overwhelming question: what is RETE and why do you need it? By way of answering this questions, we need to go back to what a BRE really is.
The Misunderstood Decision Table
Pity the poor Decision Table. It and its close relative, the Decision Tree, are much maligned in the world of Business Rules Engines. They are slow, awkward, unattractive, unsuitable for all but the most primitive and useless of problems. Clearly RETE is superior, for it allows you to throw your facts and rules into a cauldron and magically and instantly come up with results. Only losers use decision tables. Of course this view is far from the truth and relies on both a misunderstanding of what problem the RETE algorithm tries to solve and a straw man decision table implementation.
OpenRules: Decision Tables
A decision table is the most popular way to present sets of related business rules. Decision tables are used to describe and analyze decision situations, where the state of a number of conditions determines the execution of a set of actions
JBoss Rules: Domain Specific Languages
DSLs can serve as a layer of separation between rule authoring (and rule authors) and the domain objects that the engine operates on. DSLs can also act as "templates" of conditions or actions that are used over and over in your rules, perhaps only with parameters changing each time. If your rules need to be read and validated by less technical folk, (such as Business Analysts) the DSLs are definitely for you.
Business Natural Language: Introduction
Estudio de BNL y DSL
Where Rules Management and BPM Meet
Where Rules Management and BPM Meet: Rules management and process management are both aimed at improving business agility and performance, but they're fundamentally different technologies designed for complementary purposes. So which tasks do you handle in each toolset? We'll show you how to strike the right mix of techniques and score that perfect 10!
An Investment in BRMS Delivers Rapid ROI
The benefi ts of the Business Rules Management System (BRMS) are many, and deployment of this bridge between business professionals and software developers usually pays for itself after just a year.
WHY WE NEED AN XML STANDARD FOR REPRESENTING BUSINESS RULES
Business rules are therefore an important aspect of Web Services. However, they are also the missing link in the protocol stacks.
Defining Business Rules
Defining Business Rules (what are really?): Un estudio formal sobre las reglas de negocio, sus tipos, su notación, etc.
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