Fundamentals of Artificial Intelligence
False
A handful of scientists from a variety of fields began to discuss the possibility of creating an intelligent machine in the 1930s. True False
A recipe
A programming algorithm is like: A puzzle A recipe A problem Computer code
True
AI could still not make decisions on par or better with humans, at least for now. True False
True
AI started to received funding as companies found out that it can be utilized to save money. True False
False
Alan Turing suggested that AI be built with neural networks that would act as brain cells to help it learn new behavior. True False
Solution
An algorithm always leads to a(n): Alternative Infinite loop Decision Solution
A list of steps
An algorithm is written down as: A question A list of steps A formula An essay outlining a problem
True
Another example of AI is the smart categorization feature in your email inbox. True False
a branch of computer algorithms that facilitates an expert machine make accurate predictions
Artificial Intelligence is _________________________________________________________________________________________________________________________________________________________ a branch of computer algorithms that facilitates an expert machine make accurate predictions is a branch of computer science constituting underlying technology that governs expert machines a branch of computer science that constitutes underlying technology which enables computers to simulate human intelligence is a branch of computer science that renders supervision to expert machines
gather and process information
Cognitive functions help us __________________________________________________________________________________________________________. gather and process information learn skills for better memory age better learn skills for better attention
True
Commercial airplanes that can use autopilot is an example of AI. True False
sensing, language understanding, problem-solving, reasoning, and acting
Components of artificial intelligence include _______________________________________________________________________________________________ problem defining, acting, designing, and program updating sensing, language understanding, problem-solving, reasoning, and acting upgrading, problem-solving, reasoning, and acting. designing, sensing, language understanding, and problem-solving
Systematic error
Drift is which kind of error? Human error Systematic error Random error Accuracy error Precision error
1970s
During which decade did AI suffer a major setback in terms of funding and development? 2010s 2000s 1990s 1970s
-2
Evaluate the following. log 1/6 36 6 216 -6 -2 2
3
Evaluate the following. log 1000 3 2 4 1 -2
3
Evaluate the following. log4 64 16 3 2 1/3 4
2.11
Evaluate the logarithm below to 2 decimal places. log5 30 0.47 2.29 2.11 1.48 0.70
They have awareness
How are self-aware robots and machines most like humans? They resemble the human face They can be programmed to do one task They can perform basic job functions They have awareness
Intelligent Agents can perform tasks; Automated Online Search Tools can't perform tasks.
How do Automated Search Tools and Intelligent Agents differ? Automated Online Search Tools can perform tasks; Intelligent Agents can't perform tasks. There are no differences; they are exactly the same. Intelligent Agents can perform tasks; Automated Online Search Tools can't perform tasks. They differ in where they operate.
By replicating human decision-making for certain types of well-defined problems.
How do artificial intelligence systems replicate intelligent behavior? By replicating human decision-making for certain types of well-defined problems. By performing simple tasks very quickly. By making it possible to manipulate data in any type of database management system. By simulating the reasoning and decision-making of experts in very specific situations.
Neural intelligence does not change.
How is neural intelligence different from reflective or experiential intelligence? Neural intelligence does not change. Neural intelligence is based on your experiences. Neural intelligence is a learnable intelligence. Neural intelligence can improve.
both accurate and precise
Ideally, you want your data to be ___________________________________________________________________________. neither accurate nor precise both accurate and precise precise, but not accurate collected by a professional accurate, but not precise
True
In simple terms, artificial intelligence is the ability of a computer program or a machine to think and learn. True False
Flowcharts with arrows to illustrate the journey
Instead of a list of steps, algorithms can be written using: Ambiguous language Flowcharts with arrows to illustrate the journey Any modern computer language Only text is officially used for algorithms
using free recall
Memory might be assessed by _________________________________________________________________________________________________________________________________. looking only at indirect behaviors using free recall tracking eye movements looking at changes in perception
Limited memory
Self-driving cars are an example of what type of artificial intelligence capabilities? Self-awareness Reactive machines Limited memory Theory of mind
True
Shakey was the first mobile decision-making robot that can process commands at a swift rate. True False
False
Sir James Lighthill commented on artificial intelligence which propelled its development in the 1970s. True False
a set of training programs a computer can use to train itself and later use to make accurate inferences as it encounters new data sets or unfamiliar situations.
Supervised machine learning is _____________________________________________________________________________________________________________________________________________________________________________________________________________________________________ a set of training programs a computer can use to train itself and later use to make accurate inferences as it encounters new data sets or unfamiliar situations. is computer aided training a set of training programs and data which the software developer can use to make accurate inferences as the expert machine encounters new data sets or unfamiliar situations. is a group of software experts used to constantly monitor intelligent machine
Inference engine.
The component of an expert system that looks for information and relationships in the knowledge base to provide answers, predictions, and suggestions is called a/an: Inference engine. Knowledge base. Interference engine. Rule set.
cognitive functions interact
The fact that language can influence the way we think about things and the way we perceive information illustrates that ____________________________________________________________________________. language is the most important cognitive function cognitive functions interact cognitive functions do not interact cognitive functions do not have separate systems
Inputs
The ingredients in an algorithm are called: Outputs Pseudocode Inputs Procedures
supervised artificial intelligence
The process of an expert machine having the abilities to analyze and map relationships in an unfamiliar or random data set is __________________________________________________________________________________________________________ supervised artificial intelligence supervised machine learning unsupervised machine learning unsupervised software intelligence
Events that have no influence on the probability of other events happening
What are independent events? Events that have no influence on the probability of other events happening Events that have a very high probability of not happening Events that have a low probability Events that can't happen together in any one trial
Events where only one of them can happen in any given trial
What are mutually exclusive events? Events that have very high probability of not occurring Events that have no affect on the probability of other events Events that have very low probability Events where only one of them can happen in any given trial
Knowledge base, inference engine, and user interface.
What are three critical components of an expert system? Hardware, software and data. Knowledge base, inference engine, and user interface. Domain experts, knowledge engineers, and knowledge users. Expertise, rules, and decisions.
Being programmed for a singular task
What is a reactive machine capable of doing? Navigating a self-driving vehicle Mimicking human emotion Adjusting its reaction based on the situation Being programmed for a singular task
Intelligent Agent
What is another name for a bot? Process Intelligent Agent Automated Online Search Tool None of the answers are correct.
Enabling computers to take on human characteristics
What is artificial intelligence? Enabling computers to take on human characteristics Faking your ability to handle a task at work A type of computer software that allows printing of 3-D objects Using a computer to complete a quiz or survey
Reflective intelligence is a person's ability to use their mental skills. Experiential intelligence is knowledge gained through experience.
What is the difference between reflective and experiential intelligence? Reflective intelligence is gained through experience. Experiential intelligence is a person's ability to use their mental skills. Reflective intelligence is a person's genetically determined ability. Experiential knowledge is knowledge gained through experience. Reflective intelligence is a person's ability to use their mental skills. Experiential intelligence is knowledge gained through experience. Reflective intelligence is knowledge gained through experience. Experiential knowledge is a person's genetically determined ability.
Its inability to learn from its experiences
What is the primary drawback of a limited memory machine? Its ability to register human emotion Its function to change its emotion based on the situation Its inability to learn from its experiences Its focus on completing only a singular function
Watson
What was the name of the machine that used AI to beat Jeopardy's top two champions? Baby Blue Deep Blue Roomba Watson
When calculating the chance of A or B
When is it appropriate to use the addition rule? When you know how often an event does not occur When calculating the chance of A and B When you want to know the probability of A or B, but not both. When calculating the chance of A or B
When calculating the probability of both A and B
When should you use the multiplication rule? When calculating the probability of both A and B When you know the chance of an event not happening When calculating the chance of A or B When calculating the chance of A or B, but not both.
Neural
Which dimension of intelligence would be most similar between biological siblings? Reflective Experiential Neural Cognitive
ln
Which expression is equivalent to log having base = e? 10^x ln e^x log log 1
attention
Which of the cognitive functions below is most susceptible to aging? attention perception language problem solving
Yotify
Which of the following Automated Online search Tools is known for its precision? Yotify WatchThisPage Google Alerts Twitter
Handling simple situations.
Which of the following is NOT a component of intelligent behavior? Applying knowledge gained from experiences. Handling simple situations. Reacting quickly and correctly to new situations. Determining what is important.
Transaction processing.
Which of the following is NOT an application of artificial intelligence? Natural language processing. Learning systems. Transaction processing. Robotics.
Yackie
Which of the following is NOT an example of an Automated Online Search Tool? WatchThisPage Google Alerts Yackie Alerts.com
All of the answers are correct.
Which of the following is a characteristic of an Automated Online Search Tool? Internet-Based Configurable Gathers Information All of the answers are correct.
I, II, III
Which of the following is an example of AI in practice today? I. Speech recognition II. Driverless cars III. Robotic vacuums II only III only I and II only I, II, III
0.2
Which of the following is the only acceptable answer for a question that begins with: 'What is the probability of...?' -0.5 1.01 43 0.2
All of the answers are correct.
Which of the following is true about the Theory of Learnable Intelligence? It is a combination of experiential intelligence and reflective intelligence. It says that some dimensions of intelligence can be changed. All of the answers are correct. It says a person can increase their overall intelligence.
Machine learning is the intelligence technology developed for expert machines to facilitate the learning processes of various tasks
Which of the following statements about machine learning is TRUE? Machine learning is the intelligence technology developed for expert machines to facilitate the learning processes of various tasks Machine learning is the intelligence technology that provides computers with advanced abilities to execute processes without being specifically programmed to do so Machine learning is the intelligent technology an expert system uses to make accurate predictions Machine learning is the intelligence technology that ensure the expert computer responds accurately to its algorithm
All are true
Which of the following statements is true about random error? It is unavoidable All are true It is just as likely to be positive as negative Over time it will theoretically balance out It occurs without any recognizable pattern
a reflexive behavior
Which of the following would not be considered a cognitive function? your working memory perception a reflexive behavior language
Operating system
Which part of a computer is similar to reflective intelligence? Hardware Web browser Programs Operating system
Marvin Minsky
Who advocated for the creation of machines pre-programmed with rules of intelligence? Isaac Newton Marvin Minsky Socrates Rodney Brooks
John McCarthy
Who coined the term artificial intelligence? Grey Walter Alan Turing John McCarthy Marvin Minsky
False
Works of McCarthy on artificial intelligence had a lot of funding coming from the Soviet Union. True False
You are precise but not accurate in your measurements
You measure the length of a fish 6 times. Each time you find it to be 125 cm long. In reality, the fish is actually 135 cm long. Which of the following statements is true? You are both accurate and precise in your measurements You are accurate but not precise in your measurements You are precise but not accurate in your measurements The fish was probably moving around too much so it's not your fault either way You are neither accurate nor precise in your measurements
They are precise but not accurate due to systematic error
Your scale incorrectly measures the weight of your chemical by 5 grams each time. Which of the following statements is true about your data? They are precise but not accurate due to random error They are neither accurate nor precise due to human error They are precise but not accurate due to systematic error They are accurate but not precise due to random error They are accurate but not precise due to systematic error
Programming algorithm
a recipe that describes the exact steps needed for the computer to solve a problem or reach a goal
Pseudocode
a semi-programming language used to describe the steps in an algorithm
Inputs
the ingredients for a computer's 'recipe'
Outputs
the results of a programming algorithm
Procedure
the steps in a computer's 'recipe'