Welcome
Presented by,
Shehanul Islam Rahin(201-15-3550)
Muhtasim Hossain(201-15-3444)
Md. Ibrahim Mia(201-15-3668)
Md. Nadim Mahmud(201-15-3219)
Todays presentation topic is,
“The component of expert system.”
What is expert system?
An expert system is a computer program that is designed to solve
complex problems and to provide decision-making ability like a
human expert
Characteristics of Expert System
• Expert system is capable of handling challenging decision problems and
providing solutions.
• Expert system uses knowledge rather than data for solution.
• Expert system has the capability to explain how the decision was made.
Implementation strategy for expert systems
• Backward chaining
• A method of reasoning that starts with conclusions and works
backward to the supporting facts
• Forward chaining
• A method of reasoning that starts with the facts and works forward
to the conclusions
Component of Expert system
• Knowledge base
• Knowledge base acquisition facility
• Explanation facility
• Inference engine
• User interface.
Knowledge base
Knowledge Base
Stores all relevant information,
data, rules, cases, and
relationships used by the expert
system.
Inference Engine
Inference Engine
Seeks information and
relationships from the
knowledge base and
provides answers,
predictions, and suggestions
the way a human expert
would.
Explanation Facility
Explanation Facility
Allows a user to understand
how the expert system arrived at
certain conclusions or results.
For example: it allows a doctor
to find out the logic or rationale
of the diagnosis made by a
medical expert system
Knowledge acquisition Facility
Knowledge acquisition
facility
Provide convenient and efficient
means of capturing and storing
all the components of the
knowledge base.
Acts as an interface between
experts and the knowledge base.
User Interface
User Interface
Specialized user interface
software employed for
designing, creating, updating,
and using expert systems.
The main purpose of the user
interface is to make the
development and use of an
expert system easier for users
and decision makers
Participants in Expert Systems Development
and Use
• Domain expert
• The individual or group whose expertise and knowledge is captured for use in
an expert system
• Knowledge user
• The individual or system group who
uses and benefits from the expert
• Knowledge engineer
• Someone trained or experienced in the
design, development, implementation,
and maintenance of an expert system
Advantage of Expert System
• It enhances decision quality.
• It reduces the cost of consulting experts for problem solving.
• It provides quick and efficient solutions to problems in narrow area of
specialization.
• It offers high reliability of expert suggestions or decisions.
• It gathers scarce expertise and uses it efficiently.
Limitation of expert system
• Limited to relatively narrow problems
• Cannot readily deal with "mixed" knowledge
• Possibility of error
• Cannot refine own knowledge base
• Difficult to maintain
• May have high development costs
• Raise legal and ethical concerns
Thank You
for being with us

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ai-presention.pptx

  • 1. Welcome Presented by, Shehanul Islam Rahin(201-15-3550) Muhtasim Hossain(201-15-3444) Md. Ibrahim Mia(201-15-3668) Md. Nadim Mahmud(201-15-3219)
  • 2. Todays presentation topic is, “The component of expert system.”
  • 3. What is expert system? An expert system is a computer program that is designed to solve complex problems and to provide decision-making ability like a human expert
  • 4. Characteristics of Expert System • Expert system is capable of handling challenging decision problems and providing solutions. • Expert system uses knowledge rather than data for solution. • Expert system has the capability to explain how the decision was made.
  • 5. Implementation strategy for expert systems • Backward chaining • A method of reasoning that starts with conclusions and works backward to the supporting facts • Forward chaining • A method of reasoning that starts with the facts and works forward to the conclusions
  • 6. Component of Expert system • Knowledge base • Knowledge base acquisition facility • Explanation facility • Inference engine • User interface.
  • 7. Knowledge base Knowledge Base Stores all relevant information, data, rules, cases, and relationships used by the expert system.
  • 8. Inference Engine Inference Engine Seeks information and relationships from the knowledge base and provides answers, predictions, and suggestions the way a human expert would.
  • 9. Explanation Facility Explanation Facility Allows a user to understand how the expert system arrived at certain conclusions or results. For example: it allows a doctor to find out the logic or rationale of the diagnosis made by a medical expert system
  • 10. Knowledge acquisition Facility Knowledge acquisition facility Provide convenient and efficient means of capturing and storing all the components of the knowledge base. Acts as an interface between experts and the knowledge base.
  • 11. User Interface User Interface Specialized user interface software employed for designing, creating, updating, and using expert systems. The main purpose of the user interface is to make the development and use of an expert system easier for users and decision makers
  • 12. Participants in Expert Systems Development and Use • Domain expert • The individual or group whose expertise and knowledge is captured for use in an expert system • Knowledge user • The individual or system group who uses and benefits from the expert • Knowledge engineer • Someone trained or experienced in the design, development, implementation, and maintenance of an expert system
  • 13. Advantage of Expert System • It enhances decision quality. • It reduces the cost of consulting experts for problem solving. • It provides quick and efficient solutions to problems in narrow area of specialization. • It offers high reliability of expert suggestions or decisions. • It gathers scarce expertise and uses it efficiently.
  • 14. Limitation of expert system • Limited to relatively narrow problems • Cannot readily deal with "mixed" knowledge • Possibility of error • Cannot refine own knowledge base • Difficult to maintain • May have high development costs • Raise legal and ethical concerns