Deck 88: AI Methodologies
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Deck 88: AI Methodologies
1
Conventional AI is also called ___________.
A) informatics
B) symbolic AI
C) case-based reasoning
D) computational AI
A) informatics
B) symbolic AI
C) case-based reasoning
D) computational AI
B
2
Moore's Law predicts that the speed of computers will double about every two years.
True
3
Expert systems,case-based reasoning,and Bayesian networks are all examples of ____________.
A) conventional AI
B) fuzzy logic
C) computational intelligence
D) neural networks
A) conventional AI
B) fuzzy logic
C) computational intelligence
D) neural networks
A
4
____ artificial intelligence is very popular in the programming of robots.
A) Case-based
B) Expert
C) Subject-specific
D) Behavior-based
A) Case-based
B) Expert
C) Subject-specific
D) Behavior-based
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5
An important element in exhibiting intelligence is our ability to communicate and use language.
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6
Artificial intelligence methodologies consist of the various approaches to AI research that generally fall under one of two categories: pattern recognition or computational intelligence.
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7
The Singularity is the point in time at which computers exceed humans in intelligence.
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8
Using ____ logic,results are based on approximations and sometimes ambiguous criteria.
A) fuzzy
B) program
C) Boolean
D) numerical
A) fuzzy
B) program
C) Boolean
D) numerical
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9
AI neural networks use ____ to simulate the processing that takes place between neurons in the brain.
A) synapses
B) software
C) expert systems
D) cognition
A) synapses
B) software
C) expert systems
D) cognition
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10
In artificial intelligence,____ computation is based on a genetic algorithm to solve complex problems.
A) fuzzy
B) evolutionary
C) neural
D) intelligent
A) fuzzy
B) evolutionary
C) neural
D) intelligent
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11
In case-based reasoning,artificial intelligence software keeps an ongoing collection of problem cases and their solutions.
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12
A fuzzy system in computational intelligence guarantees results that are always certain and valid.
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13
Computerized expert systems are still not able to diagnose diseases given a patient's symptoms.
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14
The Turing Test was first passed by a computer in 1950,when Alan Turing wrote a paper entitled "Computing Machinery and Intelligence."
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15
Advances in neural networks are providing insight into treatment for mental illness and other brain-related diseases.
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16
A(n)____ system is AI software that is programmed to respond like a human expert in a particular field or area.
A) decision support
B) intelligent
C) singularity
D) expert
A) decision support
B) intelligent
C) singularity
D) expert
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17
The art and science of creating computer systems that simulate human thought and behavior are referred to as ____.
A) informatics
B) artificial intelligence
C) expert intelligence
D) knowledge management
A) informatics
B) artificial intelligence
C) expert intelligence
D) knowledge management
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18
Computational intelligence methodologies set up a system whereby the software can develop intelligence through an iterative learning process.
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19
Computational intelligence is a form of _________.
A) artificial intelligence
B) knowledge management
C) case-based reasoning
D) singularity
A) artificial intelligence
B) knowledge management
C) case-based reasoning
D) singularity
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20
The component of artificial intelligence that demonstrates the ability to learn from experience and continuously improve performance is called __________.
A) expert learning
B) computational intelligence
C) machine learning
D) heuristics
A) expert learning
B) computational intelligence
C) machine learning
D) heuristics
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21
____ proposed a test to determine whether a computer can be said to "think."
A) Alan Turing
B) Ray Kurzweil
C) Bill Gates
D) Albert Einstein
A) Alan Turing
B) Ray Kurzweil
C) Bill Gates
D) Albert Einstein
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22
A feature of neural networks includes the ability to quickly ____ stored data when new information is identified.
A) delete
B) transfer
C) modify
D) export
A) delete
B) transfer
C) modify
D) export
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23
One important characteristic of artificial intelligence is when a system modifies its own behavior based on its ability to learn,also known as ____.
A) the Blue Brain project
B) machine learning
C) the Singularity
D) an algorithm
A) the Blue Brain project
B) machine learning
C) the Singularity
D) an algorithm
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24
Neural networks,fuzzy systems,and evolutionary computation are all forms of __________,where systems develop intelligence through an iterative learning process.
A) conventional intelligence
B) fuzzy logic
C) computational intelligence
D) relational intelligence
A) conventional intelligence
B) fuzzy logic
C) computational intelligence
D) relational intelligence
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25
Communication and language are key elements in the ____.
A) fuzzy set theory
B) neural network
C) Turing Test
D) Fuzzy Test
A) fuzzy set theory
B) neural network
C) Turing Test
D) Fuzzy Test
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26
An expert system uses _________ ,or rules of thumb,to arrive at conclusions or make suggestions.
A) heuristics
B) computational intelligence
C) analogies
D) simulation
A) heuristics
B) computational intelligence
C) analogies
D) simulation
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27
The concept of machines with intelligence that exceeds human intelligence is referred to as __________.
A) strong AI
B) symbolic AI
C) fuzzy AI
D) neat AI
A) strong AI
B) symbolic AI
C) fuzzy AI
D) neat AI
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28
An expert system relies on ____ to provide subject-specific knowledge.
A) human experts
B) the Singularity
C) computational analysis
D) Bayesian analysis
A) human experts
B) the Singularity
C) computational analysis
D) Bayesian analysis
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29
A strong advocate of the Singularity concept is ____.
A) Bill Gates
B) Steve Wozniak
C) Ray Kurzweil
D) Al Gore
A) Bill Gates
B) Steve Wozniak
C) Ray Kurzweil
D) Al Gore
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30
The concept of the Singularity predicts that computers will be ____.
A) destructive
B) superintelligent
C) smaller
D) wireless
A) destructive
B) superintelligent
C) smaller
D) wireless
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