Artificial Intelligence MCQs
Artificial Intelligence MCQs
Our team has conducted extensive research to compile a set of Artificial Intelligence MCQs. We encourage you to test your Artificial Intelligence knowledge by answering these multiple-choice questions provided below.
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1: What type of predicate can be defined as an abducible predicate?
A. Impractical
B. Definite
C. Unattainable
D. Undefined
E. Incompletely defined
2: What type of logic programming abducible predicates allow?
A. Recursive
B. Irreversible
C. Conjunctive
D. Deductive
E. Normal
3: What is an example of abductionive inference?
A. Abduction
B. Induction
C. Retrodiction
D. Fallacious reasoning
E. Probabilistic inference
4: What is the process of logical inference that does not seek to verify the conclusion?
A. Deductive inference
B. Abductive inference, or retrodiction
C. Inductive inference
5: What kind of model defines data types?
A. Mathematical
B. Hierarchical
C. Physical
D. Object-oriented
E. Logical
6: A model defines a data by what?
A. The set of all possible data
B. Its structure
C. Its properties
D. Its behavior
7: What does the term "increase in the rate of technological change" refer to?
A. Actual
B. Perceived
C. Predicted
8: Throughout history, what may suggest that change is occurring faster?
A. Increase in the number of revolutions
B. Decrease in the number of wars
C. Increased interest in and awareness of global issues
D. Perceived increase in the rate of technological change
9: What is the basic problem of intelligent systems?
A. How much information to collect
B. What to do next
C. How to learn
D. How to make decisions
10: What are agents and animats?
A. Physical objects that can move and communicate
B. Living creatures that are controlled by artificial systems
C. Species of animals that are capable of learning and adapting
D. Physical objects that can move and interact with their environment
E. Artificial systems that exhibit complex behaviour
11: What is the output of a neural network node given an input?
A. The activation function
B. The weight values
C. The error function
D. The bias values
E. The number of neurons in the output layer
12: What does the activation function of a node define?
A. The input to that node
B. The activation function of the parent node
C. The bias of that node
D. The output of that node
E. The weight of that node
13: What changes its behavior based on a priori defined reward mechanism or criterion?
A. Genetic algorithm
B. Matrix optimization
C. Physical system
D. Adaptive algorithm
14: What does a adaptive algorithm change based on a priori defined reward mechanism or criterion?
A. Its decision rule
B. Its reward function
C. Its goal
D. Its input data
E. Its behavior
15: What does ANFIS stand for?
A. Analytical neuro fuzzy inference system
B. Automatic neuro fuzzy inference system
C. American National Football League
D. A neural network approach to fuzzy inference
E. Adaptive neuro fuzzy inference system
16: When was the ANFIS developed?
A. Early 1980s
B. Early 1990s
C. Late 1990s
D. Early 2000s
17: What type of function is said to be admissible if it never overestimates the cost of reaching the goal?
A. Optimization
B. Steepest descent
C. Heuristic
D. Optimal
E. Semidefinite programming
18: What is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects called?
A. Social cognitive neuroscience
B. Affective computing
C. Affective computing research
D. Affective neuroscience
19: What field is Affective Computing interdisciplinary?
A. Cognitive science, computer science, and information studies
B. Computer science, psychology, and cognitive science
C. Psychology, sociology, and anthropology
D. Psychology and sociology
E. Social work, psychology, and cognitive science
20: What are the architectures implemented by intelligent agents referred to as?
A. Cognitive architectures
B. Neural networks
C. Rule-based architectures
D. Fuzzy logic systems
21: What is an example of an application that might use an AI accelerator?
A. Robotics
B. Machine learning
C. Image recognition
D. Natural language processing
22: What are the most difficult problems in artificial intelligence called?
A. Solving the halting problem
B. Robotics
C. Superintelligence
D. AI-complete
E. General intelligence
23: An algorithm can perform calculation, data processing, and what?
A. The retrieval of information from a database
B. Automated reasoning tasks
C. Data entry
D. Decision making
24: What can algorithms perform?
A. Selection
B. Decision
C. Analysis
D. Calculation
E. Comparison
25: An algorithm must be analyzed to determine its usage of what?
A. Data structures
B. Logic
C. Time
D. Resources
E. Memory
26: In what decade was Solomonoff probability invented?
A. 1960s
B. 2000s
C. 1980s
D. 1970s
E. 1990s
27: What is the full name of the program that was developed by Alphabet's Google DeepMind?
A. DeepMind
B. Google Brain
C. AlphaGo
28: In what month did AlphaGo's program become the first to defeat a human professional player without handicaps on a full-sized board?
A. October 2015
B. February 2016
C. March 2016
D. September 2016
E. December 2016
29: What company created AlphaGo?
A. Alphabet Inc.'s Google DeepMind
B. Amazon.com, Inc.'s Amazon Web Services
C. Microsoft's Bing Microsoft
D. Microsoft Corporation's Microsoft Bing
E. Amazon’s Amazon
30: What is another term for AmI?
A. Intelligent agent
B. Sensor-based intelligence
C. Intelligent ambient
D. Ambient intelligence
E. Personal assistant
31: What does "ambient intelligence" refer to?
A. Electronic environments that are sensitive and responsive to the presence of people
B. The integration of people, information, and machines
C. Intelligent agents that interact with people and other systems in their environment
D. The ability of systems to sense and respond to their surroundings
E. The ability of computers to recognize and respond to the environment
32: What determines the computational complexity of algorithms?
A. The amount of information in the problem
B. The number of possible inputs
C. The size of the output
D. The amount of time, storage and/or other resources necessary to execute them
E. The number of possibilities for solving the problem
33: What is the practice of analytics?
A. The investigation of relationships between variables in order to improve decision making
B. The use of data to improve decision making
C. The application of mathematical models to understand how people behave
D. The discovery, interpretation, and communication of meaningful patterns in data
34: What is the process of analyzing data called?
A. Regression
B. Data interpretation
C. Statistics
D. Analytics
35: What does ASP call programs for generating stable models?
A. Monte Carlo methods
B. Answer set solvers
C. Parameter estimation
D. Bayesian inference
E. Genetic algorithms
36: An algorithm that can return a valid solution to a problem even if it is interrupted before it ends is called what?
A. Anytime algorithm
B. Recursive algorithm
C. Optimistic algorithm
D. Fixed-point algorithm
E. Pessimistic algorithm
37: What does an API make it easier to build?
A. A game
B. An application
C. A phone
D. A computer program
E. A website
38: The discrepancy between an exact value and some approximation to it is called what?
A. Precision
B. Accuracy error
C. Accuracy
D. Precision error
E. Approximation error
39: In an argumentation framework, what is a set of abstract arguments that represent data or a proposition?
A. Supporting evidence
B. A conclusion
C. Pre-existing beliefs
D. A premise
E. Entry-level information
40: What is an argumentation system?
A. A way to deal with contentious information and draw conclusions from it
B. A way to present information in a persuasive manner
C. A logical framework for argumentation
D. A format for presenting information
E. A type of rhetoric used to persuade others
41: What term is used to refer to an argumentation system?
A. Argumentation model
B. Argumentation software
C. Argumentation system
D. Argumentation framework
E. Argumentation scheme
42: What kind of system is an artificial immune system?
A. A type of computer virus
B. A class of computationally intelligent, rule-based machine learning systems
C. A system that employs natural immunity to protect against infection
D. A computer program that predicts the outcome of an experiment by assessing its inputs
E. A network of cells that defends an organism from infection
43: What are artificial immune system systems modeled after?
A. Learning and memory
B. A computer virus
C. A human's immune system
D. The immune system
E. A virus
44: What is the term for intelligence demonstrated by machines?
A. Cyber intelligence
B. Automated intelligence
C. Artificial intelligence
D. Machine intelligence
45: What is an example of an artificial neural network?
A. The BIOS in a computer
B. Connectionist system
C. Supervised learning algorithm
D. A model used for forecasting
E. Unsupervised learning algorithm
46: What is the term for the experience of a real-world environment where computer-generated perceptual information is added?
A. Mixed reality
B. Imitation reality
C. Augmented reality
D. Virtual reality
47: What kind of information can be added to the real world by augmented reality?
A. Human-generated perceptual information
B. Computer-generated physical information
C. Computer-generated environmental information
D. Computer-generated perceptual information
E. AR graphics
48: Automata theory is studied in what subjects?
A. Theoretical computer science and discrete mathematics
B. Logic and philosophy
C. Mathematics and the physical sciences
D. Theoretical physics and mathematics
E. Statistics and econometrics
49: What is the name of the area of computer science that studies reasoning?
A. Psychology
B. Automated reasoning
C. Artificial intelligence
D. Logic
50: When was autonomic computing started?
A. 1986
B. 2010
C. 2001
D. 2020
E. 1970
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