AI QUIZ 1

The major achievement of the computer EQP in 1996 is _____

• Proved Mathematical Theorem

• Defeated a world champion in a board game

• Demonstrated human level language translation

• performed human – level object recognition

The task of the DARPA grand challenge is

• Object Recognition

• Logical Game Playing

• Automatic Machine Translation

• Autonomous Driving

The action that can is a rational agent expected to prioritize the situation

• Action which leads to greatest reward

• the morally correct action

• Action which leads to greatest expected loss

• Socially acceptable action

The short comings of logic based AI systems that led to probability based AI system.

• Logic based AI systems could not run on conventional general purpose computer hardware

• Logic cannot be used to take into account the uncertainty in the environment

• Logic cannot be used to make deductions from observations

•  Logic is NP- Hard

Find the logically equivalent statement for “I Pass only if you Pass” (Note that fail is equivalent to not pass)

• You Pass only if I pass

• if you fail then I fail

• If you pass then I pass

• You fail if I pass

Infer the Expert System in the context of AI.

• A group of human experts which have high skills with respect to a particular task

• An AI system which consists   of encoding knowledge of the entire domain using a logical form and using that knowledge base to reason

• An expert system which acts human experts only if it is unsure about its predictions on task.

• System which act independently

The first test proposed to evaluate artificial intelligence was

• Theorem proving

• IQ Test

• Turing Test

• Loebner Prize

You wanted to predict the next Cooking show's winner. You have the data which include the judge's comment's about the contestant's food who are participating and the ratings of their previous cooked food which were given by the judges. Now your task is to predict the ratings of the same chef's based on the new comments and dishes and decide who can win the title.

• Supervised Learning

• Unsupervised  

        Learning

• Semi Supervised Learning

• Reinforcement Learning

Imagine you wanted a robot that should possibly ride a bicycle. There are no labels associated but you can give feedbacks when it rides well. And automatically there will be a penalty (falling down which hurts) if it does not. Identify the type of machine learning method can be used for this task?

• Supervised Learning

• Unsupervised Learning

• Semi Supervised Learning

• Reinforcement Learning

The characterization of unlabeled examples in Machine Learning

• there is no prior knowledge

• there is no confusing knowledge

• there is prior knowledge

• there is plenty of confusing knowledge