AI

Question 1

AI

Answer 1

Creating a system that produces results comparable to human intelligence.

Question 2

Artificial Intelligence

Answer 2

Creating a system that produces results comparable to human intelligence.

Question 3

Artificial Neural Network

Answer 3

AI system that attempts to mimic the neurons and synapses in the human brain.

Question 4

Boolean logic

Answer 4

Logic in which clauses can have one of two states ,such as yes or no, true or false.

Question 5

brute force searching

Answer 5

AI technique that considers all possible solutions, looking for the best.

Question 6

CAPTCHA

Answer 6

System designed to create text that is unreadable to a computer but understandable to a person, to reduce spam.

Question 7

chaining

Answer 7

Use of logical statements to come to a conclusion.

Question 8

Chinese Room, the

Answer 8

Thought experiment dealing with the idea of knowledge.

Question 9

computational intelligence

Answer 9

Approach that tries to create systems that think and learn in the same way humans do.

Question 10

confidence interval

Answer 10

Level of certainty in an answer a pattern recognition system provides.

Question 11

expert system shell

Answer 11

Software used to create expert systems.

Question 12

expert systems

Answer 12

Software designed to make the same decisions that a human expert would, in a given knowledge domain.

Question 13

feedback loop

Answer 13

Use of previous answers (right or wrong) to improve the decision making process next time.

Question 14

fuzzy logic

Answer 14

Logic in which items can have multiple values. Used in AI.

Question 15

fuzzy set theory

Answer 15

System in which items can be partial or complete members of a set. Used in AI.

Question 16

hand writing recognition

Answer 16

System to recognise human writing and convert it to text.

Question 17

heuristics

Answer 17

General rules for performing a task, used to improve the perform of searching algorithms in AI applications.

Question 18

IF-THEN rule

Answer 18

Rule used by the inference engine in an expert system to describe the relationship between key concepts.

Question 19

inference engine

Answer 19

Part of an expert system which attempts to relate the users input with knowledge stored in the knowledge base.

Question 20

inference rule

Answer 20

Rule used by the inference engine in an expert system to describe the relationship between key concepts.

Question 21

knowledge base

Answer 21

Area of an expert system where all facts about the knowledge domain are stored.

Question 22

knowledge domain

Answer 22

Area of knowledge in which an expert system specialises.

Question 23

knowledge engineer

Answer 23

Programmer responsible for entering expert knowledge into an expert system.

Question 24

knowledge representation

Answer 24

Different techniques for representing concepts and their relationships inside a computer system.

Question 25

logic

Answer 25

Rule used by the inference engine in an expert system to describe the relationship between key concepts.

Question 26

machine learning

Answer 26

Technique for making a computer produce better results by learning from past experiences.

Question 27

machine translation

Answer 27

Technique for automatically translating one human language into another.

Question 28

natural language processing

Answer 28

Techniques for processing human languages to enable a computer to understand their meaning.

Question 29

neural networks

Answer 29

AI technique that tries to simulate the human brain, using neurons and synapses.

Question 30

pattern recognition

Answer 30

Computational Intelligence technique where computers are trained on examples and learn to recognise similarities between them.

Question 31

Searching

Answer 31

AI technique that considers all possible solutions, looking for the best.

Question 32

set theory

Answer 32

Mathematical theory used in some AI techniques.

Question 33

speech recognition

Answer 33

Computer system that can process spoken language and understand its meaning.

Question 34

training data

Answer 34

Example data used in a pattern recognition system.

Question 35

Turing test

Answer 35

Proposed test to see if a computer is intelligent or not.

Question 36

user interface

Answer 36

Part of an expert system that accepts users inputs and presents answers.