Artificial Intelligence

List parts of an expert system

• rules and knowledge base

• inference engine

• probability tree

• user interface

• robotic interface

What are the main difference between an expert system and machine learning?

• with expert systems, the system discovers the rules

• expert systems use training data

• with expert systems, the system is already programmed with the rules

• with machine learning, the system discovers the rules

• with machine learning, the system is already programmed with the rules

All types of AI may use

• rules

• probabilities

• analogue to digital conversion

• encryption

Examples of AI include

• machine learning

• expert systems

• web design

• database queries

Machine learning involves

• the system discovering the rules

• using an inference engine

• using training data

• using pre-programmed rules

Match the following

• Rules are programmed

• Machine Learning

• The system discovers the rules

• Expert sytem

• stands for Artificial Intelligence

• AI

Which are the main characteristics of machine learning?

• abilty to adapt

• abilty to learn

• abilty to sense

• abilty to feel

• abilty to reason

Expert systems

• do not create rules or improve the rules.

• is an older form of AI

• may use a decision tree

• use a set of rules, created by experts and programmers

• can improves the rules that it uses

Machine Learning

• is a newer form of AI

• may use a decision tree

• use a set of rules, created by experts and programmers

• can improves the rules that it uses

Backchaining is used by

• expert systems

• machine learning

• robotics

• we designers