Symbolic AI

Uses logic to search for solutions:

• neural network

• symbolic AI

Requires training on large amounts of data:

• neural network

• symbolic AI

Sometimes referred to as "Good Old-Fashioned Artificial Intelligence"

• neural network

• symbolic AI

Here is a statement from a hypothetical symbolic AI car seatbelt warning system:

IF occupied(seat) AND on(ignition) AND NOT fastened(seatbelt) THEN turnOn(warning_light).

In this statement, 'ignition' is a:

• relation

• symbol

Here is a statement from a hypothetical symbolic AI car seatbelt warning system:

IF occupied(seat) AND on(ignition) AND NOT fastened(seatbelt) THEN turnOn(warning_light).

In this statement, 'warning_light' is a:

• relation

• symbol

Here is a statement from a hypothetical symbolic AI car seatbelt warning system:

IF occupied(seat) AND on(ignition) AND NOT fastened(seatbelt) THEN turnOn(warning_light).

In this statement, 'occupied' is a:

• relation

• symbol

Here is a statement from a hypothetical symbolic AI car seatbelt warning system:

IF occupied(seat) AND on(ignition) AND NOT fastened(seatbelt) THEN turnOn(warning_light).

In this statement, 'seat' is a:

• relation

• symbol

Here is a statement from a hypothetical symbolic AI car seatbelt warning system:

IF occupied(seat) AND on(ignition) AND NOT fastened(seatbelt) THEN turnOn(warning_light).

In this statement, 'fastened' is a:

• relation

• symbol

In an Arithmetic Logic Unit, 'True' is represented by:

• 0

• 1

• anything other than 0

In an Arithmetic Logic Unit, 'False' is represented by:

• 0

• 1

• anything other than 0