Surprise Quiz 1 on Artificial Intelligence

_____ aims at building machines that act intelligently, without taking a position on whether or not the machines actually are intelligent.

• Weak AI

• Strong AI

• Connectionist AI

• Symbolic AI

_________ are the composition of Artificial Intelligence Agents

• Only Program

• Only Architecture

• Program and Architecture

• Agent

In a classical paper from 1950 by turing . How does Turing name that section?

• Machine Learning

• Learning Automata

• Learning Machines

• Learning Computers

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 difference between precision and Recall is

• Both measures the same thing

• Precision focusses on false positives, recall focusses on false negatives

• Precision focusses on false negatives, recall focusses on false positives

• Precision and recall are unrelated metrices