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Ishik University / IT Department
Introduction to Artificial Intelligence & Robotics - Lecture 1 Test Bank (updated Feb 2017)
Dr. Ali Kattan
Multiple Choice Questions
1. Artificial Intelligence (A.I.) may be defied as the branch of computer science that is concerned with
A- the automation of intelligent behavior.
B- the design of intelligent computer parts.
C- languages and programming techniques used in writing software.
D- All the above.
2- Because A.I. is part of computer science it must be based on
A- sound automation of the intelligent behavior.
B- logical theoretical & applied principles of that field.
C- algorithms needed to apply that knowledge.
D- languages and programming techniques used in writing software.
3- One of the following principles is NOT considered as part of A.I.:
A- Data structures used in knowledge representation
B- Manufacturing smart hardware devices.
C- Algorithms needed to apply that knowledge
D- Languages and programming techniques used in their implementation.
4- The reason for having an “Attempted Definition for A.I.” is that
A- intelligence is a single faculty or a collection of distinct and unrelated abilities.
B- we must understand what is creativity and intuition.
C- the problem of defining A.I. becomes one of defining intelligence itself.
D- All the above.
5- Defining A.I. is difficult because it is related to defining intelligence itself, in which many unanswered
questions exist. Thus A.I. offers
A- a test bed for theories of computer science then it is stated in A.I. to be tested and verified.
B- a medium and a test bed for different theories and then stated in a computer language to be used
effectively and immediately.
C- a medium and a test bed for theories of intelligence that is then implemented as computer hardware
to be used by people.
D- None of the above.
6- The core of modern A.I. is constituted by
A- the unanswered questions related to intelligence helped to shape problems and solutions.
B- how knowledge is represented in the nerve tissue of a living being.
C- ideas that are still young, structures, concerns and methods that are less clearly defined.
D- None of the above.
7- The diagram below represents a reproduced definition of A.I. where the top row definitions
Systems that think like humans Systems that think rationally
Systems that act like humans
Systems that act rationally
A- measure the success of the AI system against an ideal concept of intelligence (rationality). A system
is rational if it does the right thing.
B- are concerned with thought processes and reasoning.
C- measure the success of the AI system against human counterparts.
D- are concerned with behavior.
8- The diagram below represents a reproduced definition of A.I. where the right column definitions
Systems that think like humans Systems that think rationally
Systems that act like humans
Systems that act rationally
A- measure the success of the AI system against an ideal concept of intelligence (rationality). A system
is rational if it does the right thing.
B- are concerned with thought processes and reasoning.
C- measure the success of the AI system against human counterparts.
D- are concerned with behavior.
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Ishik University / IT Department
Introduction to Artificial Intelligence & Robotics - Lecture 1 Test Bank (updated Feb 2017)
Dr. Ali Kattan
9- The diagram below represents a reproduced definition of A.I. where the bottom row definitions
Systems that think like humans Systems that think rationally
Systems that act like humans
Systems that act rationally
A- measure the success of the AI system against an ideal concept of intelligence (rationality). A system
is rational if it does the right thing.
B- are concerned with thought processes and reasoning.
C- measure the success of the AI system against human counterparts.
D- are concerned with behavior.
10- The diagram below represents a reproduced definition of A.I. where the left column definitions
Systems that think like humans Systems that think rationally
Systems that act like humans
Systems that act rationally
A- measure the success of the AI system against an ideal concept of intelligence (rationality). A system
is rational if it does the right thing.
B- are concerned with thought processes and reasoning.
C- measure the success of the AI system against human counterparts.
D- are concerned with behavior.
11- AI goals include
A- placing A.I. within the context of important sciences.
B- create advanced representational formalisms and search techniques.
C- combine and unify the different branches of A.I. through detailed discussion of its theoretical
foundations.
D- All the above.
12- One of the following is NOT considered as one of A.I. goals:
A- place A.I. within the context of empirical science.
B- create advanced representational formalisms and search techniques.
C- combine and unify the different branches of A.I. through empirical implementations of all its
foundations.
D- Use detailed discussions of A.I. theoretical foundations to combine & unify its diverse branches.
13- The Turing Test
A- test machine abilities to require perceptual skill and manual dexterity.
B- addressed the question of machine intelligence specifically in relation to human intelligence.
C- was the most successful intelligent chatting program implemented on a computer.
D- provides a basis for many of the schemes actually used to evaluate modern A.I. programs.
14- Alan Turing is the name of
A- the program that can test computer A.I.
B- one of the first papers to address the question of machine intelligence.
C- the scientist who published one of the first papers related to machine intelligence.
D- the “Interrogator” in the A.I. Turing test.
15- One of the important features of the Turing test is that it gives a standard for
A- determining intelligence.
B- determining the interrogator.
C- creating smart chatting programs.
D- All the above.
16- An important feature of the Turing test is that it makes us avoid two unanswerable questions, these are:
A- is the interrogator using the appropriate internal process and is he/she conscious of its actions?
B- is the computer using the appropriate internal hardware and is it conscious of its actions?
C- is the programmer using the appropriate internal processes and is he/she conscious of its actions?
D- is the computer using the appropriate internal processes and is it conscious of its actions?
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Ishik University / IT Department
Introduction to Artificial Intelligence & Robotics - Lecture 1 Test Bank (updated Feb 2017)
Dr. Ali Kattan
17- The two most fundamental concerns of A.I. researchers are:
A- problem-solving and formal language.
B- knowledge representations and search.
C- game playing and state space search.
D- search and knowledge programming.
18- Knowledge representation in A.I. refers to
A- dealing with the problem of capturing in a formal language that is suitable for computer processing.
B- problem-solving technique that systematically explores a space of problem states.
C- the successive and alternative stages in the problem solving process.
D- addressing the problem of capturing language that is suitable for computer hardware design.
19- Search in A.I. refers to
A- dealing with the problem of capturing in a formal language that is suitable for computer processing.
B- problem-solving technique that systematically explores a space of problem states.
C- the successive and alternative stages in the problem solving process.
D- addressing the problem of capturing language that is suitable for computer hardware design.
20- One of the most common problem examples used by the early A.I researchers for state space search is
A- automated reasoning & theorem proving.
B- natural language understanding and semantic modeling.
C- machine learning.
D- game playing especially board games.
21- Common board games were used in the early A.I. research for state space search. This was mainly
because
A- such games are fun to play and people can easily learn how to play them.
B- games represent a real challenge for A.I. that is related to the Turing Test.
C- games may generate extremely large and complex search spaces.
D- such games have well-defined set of rules making state space generation easier.
22- Heuristics in A.I. refers to
A- playing board games that may generate extremely large & complex search space.
B- techniques for determining what alternatives to explore in the problem space.
C- useful but potentially fallible problem-solving strategies.
D- All the above.
23- In programming board-games that deploys A.I., much of what we call intelligence resides in the
__________________ used by humans to solve problems.
A- state-spaces.
B- knowledge representations.
C- search.
D- heuristics.
24- A wide variety of problems could be solved by representing the problem description and relevant
background information as logical axioms and treating problem instances as theorems to be proved. This
is an example of
A- Expert Systems.
B- Natural Language Understanding & Semantic Modeling.
C- Automated Reasoning & Theorem Proving.
D- Modeling Human Performance.
25- An “axiom” is a
A- combination of theoretical understanding of the problem and a collection of heuristics problem solving
rules.
B- statement or formula that is stipulated to be true for the purpose of a chain of reasoning.
C- a useful but potentially fallible problem-solving strategy.
D- a way of knowledge representation in A.I.
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Ishik University / IT Department
Introduction to Artificial Intelligence & Robotics - Lecture 1 Test Bank (updated Feb 2017)
Dr. Ali Kattan
26- In A.I. a combination of a theoretical understanding of the problem and a collection of heuristic problemsolving rules that experience has shown to be effective in the domain is an example of
A- Expert Systems.
B- Natural Language Understanding & Semantic Modeling.
C- Automated Reasoning & Theorem Proving.
D- Modeling Human Performance.
27- Expert systems are constructed by obtaining knowledge from a ______________ and coding it into a
form that the computer may apply to similar problems.
A- computer program.
B- state-space.
C- knowledge representation.
D- None of the above.
28- ________________ have a deficiency in that they have domain-specific knowledge in problem solving.
i.e. they are limited.
A- Expert Systems.
B- Natural Language Understanding & Semantic Modeling.
C- Automated Reasoning & Theorem Proving.
D- Modeling Human Performance.
29- ___________ expert system aim is to help organic chemists in identifying unknown organic molecules,
by analyzing their mass spectra and using knowledge of chemistry.
A- MYCIN
B- DENDRAL
C- XCON
D- PROSPECTOR
30- ___________ expert system aim is to identify bacteria causing severe infections, such as bacteremia
and meningitis, and to recommend antibiotics, with the dosage adjusted for patient's body weight.
A- MYCIN
B- DENDRAL
C- XCON
D- PROSPECTOR
31- ___________ expert system aim is to assist in the ordering of DEC's VAX computer systems by
automatically selecting the computer system components based on the customer's requirements
A- MYCIN
B- DENDRAL
C- XCON
D- PROSPECTOR
32- ___________ was developed by Edward Feigenbaum who is often called the "father of expert systems.
A- MYCIN
B- DENDRAL
C- XCON
D- INTERNIST
Keys:
1: A
2: B
3: B
4: C
5: D
6: A
7: B
8: A
9: D
10: C
11: D
12: C
13: D
14: C
15: A
16: D
17: B
18: A
19: C
20: D
21: D
22: C
23: D
24: C
25: B
26: A
27: D
28: A
29: B
30: A
31: C
32: B
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