rule engine ppshow

8/8/2019 Rule Engine Ppshow

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Balaji Venugopal Vimal Kumar


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A rule engine is a piece of software, which having someknowledge is able to perform conclusions.

Rules Engines are the pluggable software componentsthat separate the business rules from the application code

A system that attempts to act as a domain

expert

Definition


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Why use a Rule Engine?

When should I use a rule engine?What advantage does a rule engine have

over hand coded "if...then" approaches?

Some frequently asked questions

We will attempt to address these

questions.


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If Procedural Code is available then why RULE ENGINE ?

The Problem Have you developed/seen code with so many nested if statements that

actually looked like a nest?



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The Problem (Contd) Have you spent sleepless nights debugging code when you modified one

of those 'if' statements and found that it distorted the next if statement?

Ever wondered how others implement these?



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The Solution

Rule engines are a great way to collect complex decision-making logicand work with data sets too large for humans to effectively use.



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Complicated logic (not1+1 = 2)

When should I use a Rule Engine?"when there is no satisfactory traditional programming

approach to solve the problem."


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The Robot Example

Teaching a robot to prepare breakfast cereal (in an optimal environment)

STARTputOnTable(bowl)

putOnT

able(spoon)putOnTable(napkin)open(cereal-container)pour(cereal)open(milk-container)pour(milk)

inviteOwner("You may begin eating")END


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The Robot Example

Teaching a robot to drive is much more difficult because the task varyaccording

to environmental conditions

a. Robot must not do the tasks for backing out of garage if the garage door is

closed or if there is a little girl on a tricycle right behind the car

b. Backing out will be different on warm days and cold days. Also, in aparking spaces, backing up procedures will be different in different

Settings

c. So many different circumstances lead to endless logic branching

d. Solution: independent rules that are integrated in an inference engine:

IF the engine has stalledTHEN start car

IF you hear sirensTH

EN pull over to the curbetc.


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Changes often (whatever thatmeans)

Traditional approaches are unmaintainable

The problem is beyond any obvious algorithmic solution

Domain experts (or business analysts) are readily available, but arenontechnical

When should you use a Rule Engine?


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Declarative Programming

Logic and Data Separation

Speed and Scalability

Centralization of Knowledge

Tool Integration

Explanation Facility

Advantages of a Rule Engine


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High Level view of a Rule Engine


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Architecture ofTypical Rule Based

System

rulememory

Inferenceengine

working memory

observed data

fire

modifyselect

output


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Reasoning with production rules

l Architecture of a typical productionsystem:

rulememory

interpreter

working memory

New information

fire

modifyselect

output


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rulememory

interpreter

working memory

New information

fire

modify

select

output


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rulememory

Inference

engine

executes

actions

working memory

New information

fire

modifyselect

output


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rulememory

Inference

engine

executes

actions

working memory

New information

fire

modifyselect

output


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rulememory

interpreter

working memory

New information

fire

modify

select

output


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rulememory

Inferenceengine

executesactions

working memory

New information

fire

modifyselect

output


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rulememory

Inferenceengine

executes

actions

working memory

New information

fire

modifyselect

output


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Methods of execution for a rule system

Forward Chaining Backward Chaining

Goal

Start

Goal

Start


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Goal

conclude the color ofmy pet Fritz

Forward Chaining

Working Memory

he croakseats flies

Rule Base

1. IfX croaks and eats flies - Then X is a frog2. IfX chirps and sings - Then X is a canary

3. IfX is a frog - Then X is green4. IfX is a canary - Then X is yellow


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Working Memory

he croakseats flies

Rule Base

1. IfX croaks and eats flies - Then X is a frog2. IfX chirps and sings - Then X is a canary

3. IfX is a frog - Then X is green4. IfX is a canary - Then X is yellow

Working Memory

he croakseats flies

frog

the color of my et Fritz

GREEN


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Backward Chaining

Working Memory

he croakseats flies

Rule Base

1. IfX croaks and eats flies - Then X is a frog2. IfX is a frog - Then X is green

3. IfX is a canary - Then X is yellow

Goal

conclude the color ofmy pet Fritz


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Rule Base

1. IfX croaks and eats flies - Then X is a frog

2. IfX chirps and sings - Then X is a canary3. IfX is a frog - Then X is green4. IfX is a canary - Then X is yellow

Goal List

1. conclude the color of my petF

ritz

Goal List

1. conclude the color of my pet Fritz2. X is a frog

3. X is a canary

Working Memory

he croakseats flies

o my et Fritz

Is frog Is Green He croaks and eats flies


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Business Process/Workflow

Data Validation/Formatting Self-ServiceWeb Inquiries Regulatory Compliance

Order Configuration Call Center/CRM Fraud Detection

Authorization Benefits Analysis

Manufacturing Process Claims Processing

Compliance Enforcement Database Migration Tool.

SolutionsWhich Are AttractingThe Use Of

Business Rules For More Efficiency

Marketing/Campaign Management Account Management/Personalization

Behavior Scoring Product / Service

Recommendation Underwriting

(Lending/Insurance) Diagnostics/Problem Resolution Sales Commission Calculation Pension Portfolio Marketing Risk Analysis


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Heart of the System


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