CS607 Midterm Online Quiz

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CS607-Midterm

1 / 50

Try to catch out own thoughts as they go by is

2 / 50

Which one of the problem is more subtle, and consequently, is more frustrating:

3 / 50

Inductive learning is based on the knowledge that if something happens a lot it is likely to be generally _________

4 / 50

Within an expert system, the ______________ contains facts about a specific subject area and rules that express the reasoning procedures of an expert on the subject.

5 / 50

Hill Climbing is basically a ------------- with a measure of quality that is assigned to each node in the tree.

6 / 50

To infer new information from semantic networks, we can ask questions from nodes.

7 / 50

Intelligence is the characteristic of

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Best first search is a greedy approach.

9 / 50

Classical way of problem solving

10 / 50

Which of the following is a valid example which represents a suitable antecedent in a rule?

11 / 50

An AI system must form a meaningful and useful _____________ of the internal information.

12 / 50

A proposition is the statement of a ________.

13 / 50

Searching is a formal mechanism to explore

14 / 50

The tractable problems are further divided into structured and ________ problems

15 / 50

In some cases, the rules provide more definite actions such as “move left” or “close door”, in which case the rules are being used to represent _________.

16 / 50

The traveling inside a solution space requires something called as ___________

17 / 50

Ability to tackle ambiguous and fuzzy problems demonstrate

18 / 50

Identify the correct step used to start design of an expert system.

19 / 50

The foothhill problem occurs whenever there are___________ peaks.

20 / 50

Genetic algorithm uses evolutionary techniques, based on function optimization and artificial intelligence, to develop a solution.

21 / 50

In Artificial Intelligence GA stands for Genetic Algorithms

22 / 50

Which of the following two components are closely coupled and each is intrinsically tied to the other. i. Knowledge representation ii. Reasoning iii. Execution iv. Planning

23 / 50

In Basic Genetic Algorithm the term mutation refers to a small random ________.

24 / 50

Expert system can be expressed as:

25 / 50

In optimal path searches we try to find the ____________ solution

26 / 50

In Depth First Search the node with the largest value of height will be at the _______ priority to be picked.

27 / 50

The Plateau problem comes up when there is a mostly flat area ___________ the peaks.

28 / 50

If the antecedent is only partially true, then the output fuzzy set is truncated according to the _________ method

29 / 50

Mutation can be as simple as just flipping a bit at random or any number of bits

30 / 50

An AI system has a ____________ component that allows the system to get information from its environment.

31 / 50

An expert system may replace the expert or assist the expert.

32 / 50

An ___________ is “A computer program designed to model the problem solving ability of a human expert."

33 / 50

IF A THEN B This can be considered to have a similar logical meaning as the following:

34 / 50

Which one is not the application area of expert system?

35 / 50

Procedures that search the solution space in an uninformed manner are usually costly with respect to _____.

36 / 50

An AI system has a ____________ component that allows the system to get information from its environment.

37 / 50

Conventional programming focuses on _______, while ES programming focuses on ________

38 / 50

Some essential components of problem solving are Problem statement, _________, solution space and Operators

39 / 50

Semantic networks are computationally expensive at __________

40 / 50

Another expert system named __________ was developed by Digital Equipment Corporation, as a computer configuration assistant.

41 / 50

A statement in conjunctive normal form (CNF) consists of __________

42 / 50

Can we precisely define Artificial Intelligence?

43 / 50

Every graph can be converted into a tree

44 / 50

We use graph to represent problems and their solution spaces.

45 / 50

From discipline ____________ we have information about the network structure of a human brain and all the theories on functionalities of different human organs.

46 / 50

Intelligence is the ability to

47 / 50

The traveling inside solution space requires something called

48 / 50

In Adversarial search the goals of the adversaries are usually ___________ to each other

49 / 50

In general, the antecedent of a rule compares an object with a possible value, using an operator.

50 / 50

Which of the following disciplines provides us with the theories of structure and meaning of language

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