ARTIFICIAL INTELLIGENCE

Examples of AI (Artificial Intelligence) include:

• Amazon Alexa

• Microsoft Cortana

• Apple Siri

• 
  YouTube

• 
  Tik Tok

AI systems are comprised of :

• Expert Systems

• Machine Learning

• Inference Rules

• Inference Engine

Identify the characteristics of AI (Artificial Intelligence):

• Narrow AI - when a machine has superior performance to a human when doing a

  specific task.

• Strong AI - When a machine has superior performance to a human in many tasks.

• General AI - When a

  machine is similar

  (not superior) in

  its performace to a human

  doing a specific task.

• Strong AI - When a machine has superior performance to a human in a specific task.

Which ones of the following options are a part of the Expert System Structure?

• User Interface

• Explanation System

• Inference Engine

• Rules Base

• Knowledge Base

What is a knowledge base?

• It's a repository of facts

• It is a collection of objects and attributes.

• It store all the knowledge about an area of expertise obtained from a number of expert resources.

• A method by which the expert system interacts with the user.

Which of the following devices can be used in the User Interface:

• Chat Box

• Speakers

• Microphones

• Camera

• Touch Screen

The inference engine acts like a ________ examining the knowledge base for data/information that matches the queries.

• search engine

• inference rules

• objects and attributes

• knowledge base

The rules base is a set of ________ and they are used by the __________

• search engine

• inference rules

• objects and attributes

• knowledge base

• inference engine

In machine learning, the _______ are ______ and learn from their past experiences and examples.

• algorithms

• inference rules

• trained

• knowledge base

• inference engine

Which of the statements below better describe an Expert System?

• -Represents simulated intelligence in machines.

  -The aim is to build machines that are capable of

  thinking like humans.

• -This is the practice of getting machines to make decisions without being programed to do so.

  -The aim is to make machines that learn through data acquision, so that they can solve new problems.