Notes for B.2.3 Rules and Data Representation - IB | RevisionDojo
B.2.3 Rules and Data Representation Notes
Rules and data representation are essential components of expert systems.
They determine how the system stores and processes knowledge.
Rules
Definition
Rules
Statements that define the relationships between facts and actions.
They are typically written in the form of IF-THEN statements.
Rules are used to draw conclusions based on the facts in the knowledge base.
Example
Rule: IF a patient has a fever AND a cough, THEN the patient may have the flu.
Data Representation
Data representation refers to how facts and rules are stored in the system.
Common methods include:
Production rules: IF-THEN statements.
Semantic networks: Graphs that represent relationships between concepts.
Frames: Data structures that represent objects and their attributes.
Example
A semantic network might represent the relationship between a dog and its owner.
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Note
Introduction to Expert Systems
Expert systems are computer programs that mimic human expertise in specific domains.
They consist of three main components:
Knowledge base: Stores facts and rules.
Inference engine: Applies rules to draw conclusions.
User interface: Communicates with the user.
AnalogyThink of an expert system as a virtual doctor that uses medical knowledge to diagnose patients.
ExampleA medical expert system might diagnose diseases based on symptoms.
DefinitionExpert SystemA computer program that mimics human expertise in a specific domain.
