Cambridge AS & A Level Information Technology (9626) Chapter 7 - Expert Systems
Ajiro Tech (A.T)・2 minutes read
Expert systems utilize human expert knowledge to provide solutions in various fields like medicine and insurance, relying on a knowledge base and rule base for reasoning. These systems are crucial for problem-solving in industries like car diagnostics, insurance planning, and even plant identification, using if-then rules and inference engines for accurate decision-making.
Insights
- Expert systems are computer-based systems that utilize human experts' knowledge in specific fields, like ICT, to provide reasoned solutions based on stored data and rules, applicable in areas like diagnosis or travel planning.
- The components of expert systems, including a shell, knowledge base editor, inference engine, and user interface, work together to match user input with stored facts using if-then statements, enabling decision-making in various fields like medicine, insurance, car diagnostics, and manufacturing scheduling.
Get key ideas from YouTube videos. It’s free
Recent questions
What are expert systems?
Computer-based systems utilizing human expert knowledge.
Related videos
TEDx Talks
Artificial Intelligence: it will kill us | Jay Tuck | TEDxHamburgSalon
Universidad de La Sabana
La inteligenciaartificial y su impacto en la educación
Quanta Magazine
2023's Biggest Breakthroughs in Computer Science
CS50
Search - Lecture 0 - CS50's Introduction to Artificial Intelligence with Python 2020
Then & Now
How AI was Stolen
Summary
00:00
"Expert Systems: Solving Problems with Human Knowledge"
- Expert systems are computer-based systems used to solve problems, utilizing the knowledge of human experts in a specific field, such as ICT.
- These systems differ from other problem-solving software as they use reasoning to produce possible solutions, with a knowledge base storing data and a rule base representing the reasoning.
- Expert systems can only be applied where human experts already operate, such as in diagnosis or travel planning, requiring clearly defined rules and existing facts.
- The internet can be used as a vast source of information to solve problems, with users asking questions and considering various solutions before making decisions.
- In the field of medicine, expert systems assist doctors in diagnosing illnesses by providing a list of possible solutions with probabilities, allowing the doctor to make informed decisions.
- Expert systems are designed to solve specific problems and cannot be easily adapted to different scenarios, relying on a set of possible solutions based on input and rules in the knowledge base.
- The components of an expert system include a shell, a knowledge base editor, an inference engine, and a user interface for interaction, with validation checks ensuring accurate responses.
- The inference engine is crucial as it performs the reasoning of the expert system, using if-then statements to match user input with the database of facts and generate possible solutions.
- Knowledge engineers work with human experts to collect information and design the knowledge base and rule base of the expert system, integrating expert knowledge and reasoning strategies.
- Expert systems are utilized in various scenarios, such as mineral exploration and investment analysis, providing probabilities and recommendations based on data input and rules in the system.
22:54
"Expert Systems in Insurance and Diagnostics"
- Insurance planning involves banks, insurance companies, and investment firms guaranteeing payments in case of specific events, such as life insurance for individuals or car insurance for vehicles.
- Insurance policies can be for a fixed period, like a year for car insurance, with underwriters assessing risks to determine payouts.
- Expert systems are used to assess risks in insurance, requiring input from insurance experts to create knowledge bases and rule bases for decision-making.
- Car engine issues can be diagnosed using expert systems, with mechanics' knowledge gathered to create rules for diagnosis.
- Expert systems in car diagnostics can be user interface-based or device-based, plugging into the car's computer to identify problems accurately.
- Medical diagnosis expert systems aid in identifying illnesses and administering appropriate treatments based on symptoms and knowledge bases.
- Routing scheduling for vehicle deliveries in manufacturing companies involves creating efficient delivery schedules using expert systems to minimize travel distances.
- Plant and animal identification expert systems use if-then rules to categorize and identify species based on characteristics and knowledge bases.
- Chaining in expert systems involves backward chaining, starting with goals, and forward chaining, starting with established rules, to reason and reach conclusions.
- Applications of forward and backward chaining include gaming, artificial intelligence, robotics, and natural language processing in AI systems for problem-solving and decision-making.
