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.
Simply scroll down to begin!
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
51: What was the goal of the AC initiative?
A. Improved efficiency
B. Increased production
C. Improved relations with other countries
D. Increased efficiency
E. Self-management
52: What sort of car is a "self-driving car"?
A. Electric car
B. Hybrid car
C. Autonomous car
D. Gasoline car
53: What is a term for neural networks that have more than one hidden layer?
A. Recurrent neural networks
B. Numeric neural networks
C. Deep neural networks
D. Recursive neural networks
E. Convolutional neural networks
54: What does backpropagation mean in a more literal sense?
A. The movement of information through a neural network
B. The backward propagation of errors
C. The backpropagation algorithm
D. The propagation of information through a neural network
E. The recursion of a function
55: What can BPTT help train?
A. Regression models
B. Data compression
C. Neural networks
D. Machine learning
E. Elman networks
56: What are Elman networks?
A. Restricted Boltzmann machines
B. Long short-term memory networks
C. Convolutional neural networks
D. Recurrent neural networks
57: What is another term for backward chaining?
A. Backward reasoning
B. Recursion
C. Functional programming
D. Recursive function
58: A simplifying representation used in natural language processing and information retrieval, it is also known as?
A. Naive Bayes
B. Semantic network
C. Vector space model
D. Bag-of-words model
E. Conditional Random Field
59: What is a formalism and a methodology for having a technique to specify probabilistic models and solve problems when less than the necessary information is available?
A. Markov Chain Monte Carlo
B. Bayesian programming
C. Neural networks
D. Classical statistics
E. Maximum entropy methods
60: What is the field of study that studies how behaviors are produced?
A. Sociology
B. Biology
C. Informatics
D. Psychology
61: What is the key difference between hierarchical state machines and BTs?
A. State transition diagram
B. Application state
C. Main building block
D. How to represent state transitions
E. Output buffering
62: In what field is a BT commonly used?
A. Computer science
B. Mechanical engineering
C. Electrical engineering
D. Civil engineering
63: What property of models is measured by the bias–variance tradeoff?
A. Accuracy of predictions
B. Accuracy
C. Precision
D. Parameter estimation
E. Complexity of models
64: What is an example of a set of data that is too large or complex for traditional data processing applications to deal with?
A. Social media data
B. Big data
C. Text data
D. Hadoop
65: What may lead to a higher false discovery rate?
A. Data with higher complexity
B. Data from smaller studies
C. Data with a lower sample size
D. Data that is not accurately reproducible
E. Data from less reliable studies
66: Bachmann-Landau notation is also known as?
A. Maximal symbol notation
B. Detailed notation
C. Grouped notation
D. Asymptotic notation
E. Symbolic notation
67: What are two other names for Big O notation?
A. Venn diagram notation
B. Pareto notation
C. Bachmann–Landau notation or asymptotic notation
D. Russian notation
E. Polish notation
68: A tree structure has how many children?
A. Five
B. Two
C. Four
D. Three
69: What kind of tree can have a single element?
A. Binary search tree
B. Singleton set
C. Red-black tree
D. Binary tree
70: What is the name of the artificial intelligence approach based on the blackboard architectural model?
A. Whiteboard system
B. Knowledge engineering
C. Knowledge management
D. PERT model
E. Blackboard system
71: What do Boltzmann machines resemble?
A. Hopfield networks
B. Fuzzy logic networks
C. Supercomputers
D. Neural networks
72: What is a type of stochastic recurrent neural network?
A. Convolutional neural networks
B. Boltzmann machines
C. Recurrent neural networks
73: What is the formula called when the variables of a Boolean formula can be consistently replaced by the values TRUE or FALSE?
A. Satisfiable
B. Unsatisfiable
C. Incomplete
D. True
74: What are the variables of a given Boolean formula consistently replaced by?
A. The number 1
B. The letter
C. TRUE or FALSE
75: What is the term for the number of children at each node?
A. Degree
B. Indegree
C. Outdegree
76: A very general problem-solving technique and algorithmic paradigm that consists of systematically enumerating all possible candidates for the solution and checking whether each candidate satisfies the problem
A. Systematic search
B. Genetic algorithm
C. Heuristic search
D. Brute-force search
77: What is a neural network that can be used in modeling hierarchical relationships?
A. Graphical neural network
B. Capsule neural network
C. Backup neural network
D. Association neural network
E. Recursive neural network
78: What is the name of the capsule neural network?
A. CaffeNet
B. DenseNets
C. CapsNet
D. Convolutional Neural Networks
E. DeepDream
79: What is CBR based on?
A. Similar future problems
B. Similar past problems
C. CBR is a mathematical formula
D. Character Building Responsibility
E. Similar present problems
80: What type of reasoning is CBR?
A. Systematic
B. Case-based
C. Deductive
D. Behavioral
81: What is the process of solving new problems based on the solutions of similar past problems?
A. Brainstorming
B. Analogical reasoning
C. Reverse engineering
D. Pattern recognition
E. Case-based reasoning
82: What is another name for a conversational interface?
A. AI chatbot
B. Virtual assistant
C. Conversational agent
D. Artificial conversational entity
E. Conversational interface
83: What type of conversation is conducted by a chatterbot?
A. Telephone conversation
B. Auditory or textual methods
C. Semantic search
D. Online chat
E. Neural networks
84: What can be done to robots remotely through networks?
A. Control the robot's movements
B. Communicate with robots through chat
C. Monitor and report on robot performance
D. Instruct robots on how to act
E. Delegate tasks
85: In what field of robotics do people attempt to invoke cloud technologies?
A. Bio-inspired robotics
B. Cloud security
C. Cloud storage
D. Autonomous machines
E. Cloud robotics
86: What enables robots to be endowed with powerful capability?
A. Electric motors
B. Sensors
C. Cloud computing technologies
D. Robotics hardware
E. Robotics software
87: What is the main task of exploratory data mining?
A. Association analysis
B. Classification
C. Clustering
D. Regression
88: In what field is the task of cluster analysis common?
A. Mathematics
B. Social science
C. Data mining
D. Biology
E. Statistics
89: Where is COBWEB currently located?
A. MIT
B. Microsoft
C. Apple
D. Stanford University
E. Vanderbilt University
90: Who invented COBWEB?
A. Charles Babbage
B. John Atanasoff and Clifford Berry
C. J.C.R. Licklider
D. Alan Turing
E. Douglas H. Fisher
91: What is the interdisciplinary scientific study of the mind and its processes?
A. Psychiatry
B. Neuroscience
C. Psychology
D. Cognitive science
92: Cognitive science is an interdisciplinary scientific study of what?
A. The human brain and its functions
B. The mind and its processes
C. The nature of intelligence
D. The neuroscience of consciousness
93: What is combinatorial optimization a topic that consists of?
A. Solving a system of simultaneous equations
B. Finding the shortest path between two points
C. Generating sequences and patterns
D. Finding an optimal object
E. Algorithms for sorting data
94: What is a topic that consists of finding an optimal object from a finite set of objects?
A. Graph theory
B. Design of experiments
C. Combinatorial optimization
D. Determining the shortest path in a graph
E. Algorithmic optimization
95: What field is combinatorial optimization related to?
A. Operations Research
B. Mathematics
C. Computer Science
96: What is the combined response of a committee machine supposed to be?
A. Superior to those of its constituent experts
B. Worse than those of its constituent experts
C. Equal to those of its constituent experts
97: What is a machine used for combining responses of multiple neural networks?
A. Committee machine
B. Data mining
C. Voting machine
D. Vote machine
98: What did McCarthy name his program?
A. The Fix
B. Friendlier Foes
C. Advice Taker
D. The Program
E. Cabal
99: What kind of knowledge is commonsense knowledge?
A. Knowledge about natural sciences
B. Knowledge about mathematics
C. Facts about the natural world
D. Knowledge about the human body
E. Facts about the everyday world
100: What is common sense reasoning concerned with?
A. Simulating the human ability to make presumptions about the type and essence of ordinary situations they encounter every day
B. Drawing conclusions about the likelihood of an event based on its precedent
C. The ability to identify and categorize patterns
D. The ability to understand abstract reasoning
E. Examining a cause and effect relationship between two entities
List of Artificial Intelligenc...
Available in:
Artificial Intelligence MCQs
