Question 1

In a biological neuron, the synapse:&#10;A) holds the nucleus of the cell&#10;B) acts as input device&#10;C) is the connecting point between the axon of the neutron and dendrites of other neutrons&#10;D) acts as the output device

Accepted Answer

The synapse is the junction point between the axon of one neuron and the dendrites of another neuron, where chemical signals are exchanged. It acts as a connector between neurons, allowing for the transmission of signals between them. It does not hold the nucleus or act as an input or output device.

Question 2

To find the orientation of an object, we use:&#10;A) stereo vision&#10;B) motion&#10;C) texture&#10;D) segmentation

Accepted Answer

C

Question 3

Two programing languages specifically designed for AI are:&#10;A) C and C++&#10;B) Java and C++&#10;C) LISP and PROLOG&#10;D) FORTRAN and COBOL

Accepted Answer

LISP and PROLOG were specifically designed for AI and are still widely used in the field today. Both languages have features that make it easier to write and manipulate symbolic expressions, which is a common task in AI programming. While C++, Java, FORTRAN, and COBOL can also be used for AI, they were not designed specifically for it.

Question 4

The term Artificial Intelligence (AI) was first coined by:&#10;A) Alan Turing&#10;B) John McCarthy&#10;C) Steven Spielberg&#10;D) Richard H. Richen

Accepted Answer

John McCarthy, a computer scientist, is credited with coining the term Artificial Intelligence (AI) in 1956 during the Dartmouth Conference.

Question 5

A perceptron:&#10;A) is a biological neutron&#10;B) is one of the parts of a biological neutron&#10;C) is an artificial neutron&#10;D) applies a weight on signals that pass through the neighboring neutron

Accepted Answer

A perceptron is an artificial neuron, used for decision making in machine learning. It takes in input signals, applies weights to them, and outputs a decision based on an activation function. It is not a biological neuron, nor is it a part of one.

Question 6

The main foundation of thinking machines came from:&#10;A) Sir Isaac Newton&#10;B) Gottfried W. Leibniz&#10;C) Alan Turing&#10;D) John McCarthy

Accepted Answer

The answer of The main foundation of thinking machines came...

Question 7

Two quantifiers $\forall$ and $\exists$ are used in:&#10;A) propositional logic&#10;B) predicate logic&#10;C) atomic sentences&#10;D) conclusion of any argument

Accepted Answer

The quantifiers F1F1F1S1F1F1F10 and F1F1F1S1F1F1F10 are used in predicate logic. They are used to express the scope of a quantified statement over a variable in a logical formula. The symbol ∀ (F1F1F1S1) is the universal quantifier, which asserts that a statement holds true for all instances of a given variable. The symbol ∃ (F1F1F1S1) is the existential quantifier, which asserts the existence of at least one instance of a given variable for which a statement holds true. Therefore, these quantifiers are not used in propositional logic or atomic sentences, and they do not appear in the conclusion of any argument.

Question 8

We use brute-force search:&#10;A) if we have no prior knowledge about the search&#10;B) if we need to do the search quickly&#10;C) if we need to do the search thoroughly&#10;D) after performing heuristic search

Accepted Answer

Brute-force search is a general approach that involves systematically checking all possible solutions without any prior knowledge or assumptions. It is the best choice only when we have no information about the problem structure or any heuristic to guide the search. In most cases, brute-force search is very inefficient and not practical for large or complex problems.

Question 9

To find the depth of an object, we use:&#10;A) edge detection&#10;B) segmentation&#10;C) stereo vision&#10;D) shading

Accepted Answer

Stereo vision is the process of using two or more cameras to obtain different viewpoints of the same scene. By comparing the discrepancies between the views, it's possible to calculate the depth and 3D position of each object in the scene. This technique is commonly used in robotics, autonomous vehicles, and augmented reality applications to perceive the environment and make decisions based on it. Edge detection and shading are image processing techniques that can help enhance the contrast and details of the image, but they are not sufficient to determine the depth of an object on their own. Segmentation is a process of dividing an image into meaningful regions, but it usually requires additional information, such as color or texture, to be accurate for depth estimation.

Question 10

A node in semantic network becomes ______.&#10;A) a slot in frames&#10;B) an edge in frames&#10;C) an object in frames&#10;D) a line in frames

Accepted Answer

In semantic networks, nodes represent objects or concepts, and edges represent relationships between them. These objects or concepts can be represented as frames with slots in some knowledge representation systems, but the actual node in a semantic network is not a slot, edge, or line.

Question 11

Which of the following is not a sentence in a propositional logic:&#10;A) Ford is a car.&#10;B) If John is home then Mary is at work.&#10;C) True.&#10;D) Where is John?

Accepted Answer

The answer of Which of the following is not a...

Question 12

In language understanding, parsing a sentence is part of:&#10;A) speech recognition&#10;B) syntactic analysis&#10;C) semantic analysis&#10;D) pragmatic analysis

Accepted Answer

The answer of In language understanding, parsing a sentence is...

Deck 18: Artificial Intelligence