Business Rules Management and Service Oriented Architecture: by Ian Graham

By Ian Graham

I purchased this ebook after cautious consedering all enterprise principles books, provided by way of Amazon. a good selection indeed.
As an firm architect I came upon subject matters like structure rules, SOA and company necessities. company principles with regards to structure is a miles debated factor. So whilst I got here to be enthusiastic about a company principles undertaking for a consumer, i made a decision to arm myself. What did the ebook carry? Well:
- transparent and delightful writing style.
- solutions to FAQ correct from the preface.
- relate BR to SOA.
- practical and administration point of view. know-how and ideas. now not too deep, to not hi-over.
- perception in best items (be it anno 2007, yet more than enough for a benchmark).
- forty two (:-) answer patterns.
- a record for comparing BRMS's.


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Extra info for Business Rules Management and Service Oriented Architecture: A Pattern Language

Example text

Here, each agent has a controller that stores or can access an inference engine and problem solving strategy. The agent encapsulates two kinds of knowledge in its knowledge base: persistent and transient. The persistent knowledge often takes the form of attributes and methods that represent its ontology or type model, but the methods may be coded non-procedurally; Prolog perhaps or a BRMS rule language. The agent may also store knowledge about the roles that it plays in the ˆ overall agent organization and about its plans.

As we shall see later, the apparent contradiction between the need for encapsulation and centralization can be resolved using patterns, notably the policy blackboard and encapsulate a reference patterns (cf. Chapter 7). We think that a good BRMS should allow applications to be deployed in a service oriented architecture (SOA). g. as web services). Aligning IT with Business Returning to the linguistic gulf that too often separates developers from their customers, we need ways of writing the rules that are understandable to users.

One way to do this is to classify agents according to the level of features they exhibit; in order of increasing complexity and power these are: ■ Basic software agents; ■ Reactive intelligent agents; ■ Deliberative intelligent agents, and ■ Hybrid intelligent agents. It is common to apply the description ‘agent’ to quite ordinary code modules that perform pre-defined tasks. This is an especially common usage in relation to macros attached to spreadsheets or database system triggers and stored procedures.

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