Inference engine

Brief introduction on Inference Engine in Expert System.
Forward & Backward Chaining, KBS, KWS

1. Inference Engine Presented By: Abhishek Pachisia - 090102801 Akansha Awasthi - 090102003 B.Tech – I.T.

2. Foreword - Expert System An Expert system is a computer system that emulates the decision-making ability of a human expert  It is divided into two parts, Fixed, Independent : The Inference Engine, Variable: The Knowledge Base Engine reasons about the knowledge base like a human.

3. Foreword - Inference Engine Computer program that tries to derive answers from a knowledge base. Brain of Expert System Inference commonly proceeds by  Forward chaining Backward chaining

4. Grandfather (Tom -Marry) Father (Tom -Jack)  Father (Jack -Mary) Here there are two facts Tom is the father of Jack Jack is the father of Mary Example

5. An interpreter The interpreter executes the chosen agenda items by applying the corresponding base rules. A scheduler The scheduler maintains control over the agenda by estimating the effects of applying inference rules in light of item priorities or other criteria on the agenda. A consistency enforcer The consistency enforcer attempts to maintain a consistent representation of the emerging solution. Inference Engine Components

6. Conflict resolution If there are activations then select the one with the highest priority else done Act Sequentially Perform the actions. Update the working memory. Remove the fired activations. Operation Cycle - I

7. Match Update the agenda - Checking if there are activations if their LHS is no longer satisfied. Check for halt - Two commands tell that action is over. Break Halt Operation Cycle - II

8. Forward chaining Backward chaining Inference Methods

9. Takes rule and if its conditions are true adds its conclusion to working memory until no more rules can be applied If the conditions of the rule if A and B then C are true then C is added to working memory. In forward chaining the system simply test the rules in the order that occurs therefore rule order is important. Forward Chaining

10. The backward chaining inference engines tries to prove a goal by establishing the truth of its conditions The rule if A and B then C the backward chaining engine will try to prove C by first proving A and then proving B. Proving these conditions to be true may well invoke further calls to the engine and so on. Backward Chaining

11. It is a computer program to solve complex problems. Reasons Uses knowledge Knowledge is acquired represented using various knowledge representation Techniques Rules, Frames and Scripts.  Knowledge Based System User Interface Inference engine Knowledge base

12. Knowledge Based System

13. There are specialized systems for knowledge workers To help them to create new knowledge To ensure that this knowledge is properly integrated into the business Critical Key roles of knowledge workers Keeping the current knowledge Serving as internal consultants regarding the areas of their knowledge Acting as change agents Knowledge work systems require strong links To external knowledge bases in addition to specialized hardware and software. Knowledge Work System

14. CAD/CAM systems:   Computer-aided design (CAD) and Computer-aided manufacturing (CAM) systems automate The creation and Revision of designs, using computers and sophisticated graphics software. They provide Engineers, Designers, and Factory managers with precise manufacturing control over industrial design and manufacturing KWS - Examples

15. Virtual reality systems:   These use interactive graphics software to Aid drug designers, Architects, Engineers, and Medical workers by presenting precise, three-dimensional simulations of objects. KWS - Examples

16. Investment workstations:   These are high-end PCs used in the financial sector To analyze trading situations instantaneously and Facilitate portfolio management. KWS - Examples That’s All

17. Thank You