Description
A View On Expert System And Artificial Intelligence.
Presented By Ranjit Pani
Overview of Artificial Intelligence
y Artificial intelligence (AI) y Computers with the ability to mimic or duplicate the functions of the human brain. y Artificial intelligence systems y The people, procedures, hardware, software, data, and knowledge needed to develop computer systems and machines that demonstrate the characteristics of intelligence.
Artificial intelligence
Branches of Artificial System:
y Robotics
Mechanical and computer devices that perform tedious tasks with high precision y Vision system y Capture, store, and manipulate visual images and pictures y Natural language processing y Computers understand and react to statements and commands made in a ³natural´ language, such as English
y
y Learning system
Computer changes how it functions or reacts to situations based on feedback y Neural network y Computer system that can act like or simulate the functioning of the human brain y Expert system y Stores knowledge and makes inferences
y
Characteristics of Artificial intelligence
y The ability to act intelligently, as a human. y The ability to artificially simulate the human brain. y The ability to actively learn and adapt as a human. y The ability to process language and symbols.
Expert System:
y Attempt to Imitate Expert Reasoning Processes and Knowledge in
Solving Specific Problems.
y Provide Direct Application of Expertise.
y
Expert Systems Do Not Replace Experts, But They y Make their Knowledge and Experience More Widely Available y Permit Non-experts to Work Better
Components of expert systems
y Knowledge base y Stores all relevant information, data, rules, cases, and relationships used by the expert system y Inference engine y Seeks information and relationships from the knowledge base and provides answers, predictions, and suggestions in the way a human expert would y User interface y A conditional statement that links given conditions to actions or outcomes
User Interface
Inference Engine
Knowledge Base
Participants:
Expert system
Domain expert
no le e en ineer
no le e user
Architecture of Expert System !
Expert systems typically contain the following four components:
Knowledge-Acquisition Interface User Interface Knowledge Base Inference Engine
Capabilities of Expert Systems:
Strategic goal setting Explore impact of strategic goals Impact of plans on resources Integrate general design principles and manufacturing limitations Provide advise on decisions Planning
Design
Decision making
Quality control and monitoring Diagnosis
Monitor quality and assist in finding solutions Look for causes and suggest solutions
Advantages of Expert Systems
y Easy to develop and modify y The use of satisficing y The use of heuristics y Development by knowledge engineers and users
Applications of Expert Systems and Artificial Intelligence
y y y y y y y
Information management and retrieval Plant layout Hospitals and medical facilities Help desks and assistance Employee performance evaluation Marketing Warehouse optimization
Limitations of Expert Systems:
y Not widely used or tested y Limited to relatively narrow problems y Cannot readily deal with ³mixed´ knowledge y Possibility of error y Difficult to maintain y May have high development costs y Raise legal and ethical concerns
doc_888119629.pptx
A View On Expert System And Artificial Intelligence.
Presented By Ranjit Pani
Overview of Artificial Intelligence
y Artificial intelligence (AI) y Computers with the ability to mimic or duplicate the functions of the human brain. y Artificial intelligence systems y The people, procedures, hardware, software, data, and knowledge needed to develop computer systems and machines that demonstrate the characteristics of intelligence.
Artificial intelligence
Branches of Artificial System:
y Robotics
Mechanical and computer devices that perform tedious tasks with high precision y Vision system y Capture, store, and manipulate visual images and pictures y Natural language processing y Computers understand and react to statements and commands made in a ³natural´ language, such as English
y
y Learning system
Computer changes how it functions or reacts to situations based on feedback y Neural network y Computer system that can act like or simulate the functioning of the human brain y Expert system y Stores knowledge and makes inferences
y
Characteristics of Artificial intelligence
y The ability to act intelligently, as a human. y The ability to artificially simulate the human brain. y The ability to actively learn and adapt as a human. y The ability to process language and symbols.
Expert System:
y Attempt to Imitate Expert Reasoning Processes and Knowledge in
Solving Specific Problems.
y Provide Direct Application of Expertise.
y
Expert Systems Do Not Replace Experts, But They y Make their Knowledge and Experience More Widely Available y Permit Non-experts to Work Better
Components of expert systems
y Knowledge base y Stores all relevant information, data, rules, cases, and relationships used by the expert system y Inference engine y Seeks information and relationships from the knowledge base and provides answers, predictions, and suggestions in the way a human expert would y User interface y A conditional statement that links given conditions to actions or outcomes
User Interface
Inference Engine
Knowledge Base
Participants:
Expert system
Domain expert
no le e en ineer
no le e user
Architecture of Expert System !
Expert systems typically contain the following four components:
Knowledge-Acquisition Interface User Interface Knowledge Base Inference Engine
Capabilities of Expert Systems:
Strategic goal setting Explore impact of strategic goals Impact of plans on resources Integrate general design principles and manufacturing limitations Provide advise on decisions Planning
Design
Decision making
Quality control and monitoring Diagnosis
Monitor quality and assist in finding solutions Look for causes and suggest solutions
Advantages of Expert Systems
y Easy to develop and modify y The use of satisficing y The use of heuristics y Development by knowledge engineers and users
Applications of Expert Systems and Artificial Intelligence
y y y y y y y
Information management and retrieval Plant layout Hospitals and medical facilities Help desks and assistance Employee performance evaluation Marketing Warehouse optimization
Limitations of Expert Systems:
y Not widely used or tested y Limited to relatively narrow problems y Cannot readily deal with ³mixed´ knowledge y Possibility of error y Difficult to maintain y May have high development costs y Raise legal and ethical concerns
doc_888119629.pptx