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Presented By:
Abhishek Pachisia - 090102801
Akansha Awasthi - 090102003
        B.Tech – I.T.
   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.
   Computer program that tries to derive answers from
    a knowledge base.

   Brain of Expert System

   Inference commonly proceeds by
       Forward chaining
       Backward chaining
﴾   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
   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.
   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.
   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
¥   Forward chaining

¥   Backward chaining
   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.
   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.
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.

             User             Inference          Knowledge
           Interface           engine              base
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.
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
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.
Investment workstations:
 These are high-end PCs used in the financial sector
       To analyze trading situations instantaneously and
       Facilitate portfolio management.
Inference engine

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Inference engine

  • 1. Presented By: Abhishek Pachisia - 090102801 Akansha Awasthi - 090102003 B.Tech – I.T.
  • 2. 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. 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
  • 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.
  • 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.
  • 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
  • 8. ¥ Forward chaining ¥ Backward chaining
  • 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.
  • 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.
  • 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. User Inference Knowledge Interface engine base
  • 12.
  • 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.
  • 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
  • 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.
  • 16. Investment workstations:  These are high-end PCs used in the financial sector  To analyze trading situations instantaneously and  Facilitate portfolio management.