Types of AI Quiz

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Questions and Answers

Match Types of AI with the description.

Strong AI = The goal is to understand the human mind/brain as a computational device. Weak AI = The goal is to develop intelligent machinery that is not necessarily like us, but nevertheless solves some problem. AI as Science = Reverse-engineer the mind/brain. AI as Engineering = Engineer clever machines.

Match Types of AI with the description.

Strong AI = Specific in the sense that we are focused on the human mind/brain. Weak AI = General in the sense that any kind of problems/techniques might be entertained. Strong AI = General in the sense that humans can solve an astonishingly wide range of problems. Weak AI = Specific in the sense that a single, isolated problem is usually considered.

Match Type of AI with the description

AI as Science = The object of interest exists in nature. AI as Engineering = The objects of interest are unknown, and are to be discovered/created. AI as Science = Investigate the hypothesis that humans are machines. AI as Engineering = Independent of human nature, can we construct clever machines?

Match AI with description

Strong AI = Based on the belief that we can construct machinery capable of thought, emotions, and any other quality we attribute to humans. Weak AI = We are interested in machines that solve tricky problems in ways perhaps not found in nature, independent of whether “strong AI” is possible. AI as Science = AI as a science could fail. AI as Engineering = AI as engineering has already succeeded. Signup and view all the answers

Match AI with description

General AI (AGI) = Real progress is likely to come from viewing intelligent systems as whole. Narrow AI = Real progress is likely to come from breaking the big problems down, and tackling smaller problems. General AI (AGI) = Set human level performance as the goal, and abandon efforts incapable of reaching this goal. Narrow AI = Seek incremental improvements. Signup and view all the answers

Match AI with description

General AI (AGI) = Seek early integration of AI’s subfields. Narrow AI = Let each subfield solve it’s own problem first. Psychological AI = Understanding of how humans work Rational AI = Understanding of logic, probability theory, etc. Signup and view all the answers

Match pairs

Thinking Humanly = AI guided by the study of cognitive mechanisms. Acting Humanly = We want machines that behave like humans. Thinking Rationally = AI guided by the study of rational processes of optimization. Acting Rationally = We want machines that behave optimally. Signup and view all the answers

Match pairs

Thinking Humanly = AI that models how humans recognize faces or solve puzzles using cognitive processes. Acting Humanly = AI systems like Siri, Alexa, or customer service chatbots Thinking Rationally = AI in games like Chess or Go Acting Rationally = Self-driving cars like Tesla or Waymo Signup and view all the answers

Match pairs

Strong AI (AGI) = Wall-E Weak AI (Narrow AI) = Siri, AlphaGo AI as Science = Robot "Pepper" a social humanoid robot AI as Engineering = Amazon’s warehouse robots Signup and view all the answers

John claims that AI is already a success because we have created robots that solve problems.

Mary, on the other hand, claims that AI could fail if we discover that humans solve some problems in ways that can’t be simulated using computers.

Penelope proposes that AI’s ultimate goal is to create machines capable of thought, emotions, and consciousness.

John = Weak AI (Narrow AI) Penelope = Strong AI John = AI as Engineering Mary = AI as Science Signup and view all the answers

Study Notes

John's View on AI Success

John believes that AI is already a success due to the creation of robots that can solve problems.
His perspective suggests that the ability of AI to tackle problems, even through machines, is a sign of progress.

Mary's Concerns about AI

Mary expresses concern that AI might fail if humans solve problems in ways that computers can't simulate.
Her view highlights the potential limitations of AI, emphasizing that human problem-solving might have elements beyond computational simulation.

Penelope's Vision for AI

Penelope believes that AI's ultimate goal is to create machines with thought, emotions, and consciousness.
Her proposition suggests an ambitious vision for AI, aiming to replicate human capabilities like thinking, feeling, and self-awareness in machines.

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Description

Test your knowledge on the various types of artificial intelligence and their descriptions. This quiz covers fundamental concepts and classifications in AI, helping you understand its diverse applications. Match each type with its correct definition.