Crash Course AI Playing Games

What is one of the main reasons why AI researchers spend time teaching AI how to beat humans at games?

• Games provide a fun motivation to learn AI programming.

• Games are a good way to test new AI algorithms.

• Games provide training data for AI systems.

• Games are popular and attract attention.

How do AI systems generate training data for themselves?

• By playing against expert human gamers.

• By analyzing previous games played by humans.

• By playing against other AI systems.

• By playing against themselves.

What can comparing AI against expert human gamers help us determine?

• The difficulty of problems that AI can solve.

• The strategies that lead to victory in games.

• The improvement of AI over time.

• The best AI algorithms for different games.

Why do some AI programming demos focus on games?

• Games provide a fun, motivating context for AI learning.

• Games are simple and easy to program.

• Games are the most popular use case for AI.

• Games can generate large amounts of training data.

What was the Mechanical Turk, invented by Wolfgang von Kempelen, able to do?

• Play chess against humans and win.

• Move chess pieces mechanically using a clock-like contraption.

• Fool people into thinking it was a machine playing chess.

• Solve complex mathematical problems.

When did AI programs start getting good at playing chess and checkers?

• In the late 1940s and early 1950s.

• In the 1990s and 2000s.

• In the 1970s and 1980s.

• In the 1960s and 1970s.

Which game did IBM's Deep Blue beat the chessmaster Garry Kasparov in?

• Checkers.

• Go.

• Tic-tac-toe.

• Chess.