1What is the main goal of Artificial Intelligence?
Introduction to Artificial Intelligence
Easy
A.To replace all forms of communication
B.To store files without processing them
C.To make machines perform tasks requiring human-like intelligence
D.To increase the physical size of computers
Correct Answer: To make machines perform tasks requiring human-like intelligence
Explanation:
Artificial Intelligence aims to create systems that can perform tasks such as learning, reasoning, perception, and decision-making.
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2Which of the following is an example of an Artificial Intelligence task?
Introduction to Artificial Intelligence
Easy
A.Connecting a power cable
B.Turning on a light switch
C.Printing a blank page
D.Recognizing speech
Correct Answer: Recognizing speech
Explanation:
Speech recognition uses AI to identify and interpret spoken human language.
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3Who is commonly credited with coining the term "Artificial Intelligence"?
History and evolution of Artificial Intelligence
Easy
A.John McCarthy
B.Alan Turing
C.Tim Berners-Lee
D.Charles Babbage
Correct Answer: John McCarthy
Explanation:
John McCarthy introduced the term "Artificial Intelligence" in 1956.
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4Which event is often considered the formal beginning of AI as an academic field?
History and evolution of Artificial Intelligence
Easy
A.The Dartmouth workshop in 1956
B.The first commercial airplane flight
C.The launch of the World Wide Web
D.The invention of the telephone
Correct Answer: The Dartmouth workshop in 1956
Explanation:
The 1956 Dartmouth workshop helped establish Artificial Intelligence as a distinct field of study.
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5Which type of AI is designed to perform a specific task?
Characteristics and types of Artificial Intelligence
Easy
A.General AI
B.Narrow AI
C.Universal AI
D.Super AI
Correct Answer: Narrow AI
Explanation:
Narrow AI, also called weak AI, is built to perform one specific task or a limited set of tasks.
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6Which characteristic allows an AI system to improve from experience?
Characteristics and types of Artificial Intelligence
Easy
A.Storage
B.Learning
C.Wiring
D.Printing
Correct Answer: Learning
Explanation:
Learning enables an AI system to improve its performance by using data or past experience.
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7What is the relationship between Machine Learning and Artificial Intelligence?
Artificial Intelligence vs Machine Learning vs Deep Learning vs Data Science
Easy
A.Machine Learning is a subset of AI
B.They are completely unrelated fields
C.AI is a subset of Machine Learning
D.Machine Learning only studies hardware
Correct Answer: Machine Learning is a subset of AI
Explanation:
Machine Learning is an AI approach in which systems learn patterns from data instead of being programmed for every rule.
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8Deep Learning commonly uses which structures to learn from data?
Artificial Intelligence vs Machine Learning vs Deep Learning vs Data Science
Easy
A.Mechanical gears
B.Electrical switches only
C.Artificial neural networks
D.Paper-based tables
Correct Answer: Artificial neural networks
Explanation:
Deep Learning uses multilayer artificial neural networks to learn complex patterns from data.
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9Which field focuses on collecting, analyzing, and interpreting data?
Artificial Intelligence vs Machine Learning vs Deep Learning vs Data Science
Easy
A.Civil Engineering
B.Network Cabling
C.Graphic Design
D.Data Science
Correct Answer: Data Science
Explanation:
Data Science combines statistics, programming, and domain knowledge to extract useful information from data.
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10What is an intelligent system?
Intelligent systems and Artificial Intelligence lifecycle
Easy
A.A system that only stores documents
B.A system that senses, reasons, and acts
C.A system that works without any input
D.A system that only displays images
Correct Answer: A system that senses, reasons, and acts
Explanation:
An intelligent system receives information, processes it, and takes actions to achieve a goal.
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11Which activity is usually part of the AI lifecycle?
Intelligent systems and Artificial Intelligence lifecycle
Easy
A.Removing all system objectives
B.Collecting and preparing data
C.Deleting useful input data
D.Avoiding system evaluation
Correct Answer: Collecting and preparing data
Explanation:
AI projects commonly involve data collection, data preparation, model development, evaluation, and deployment.
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12How can AI assist healthcare professionals?
Applications of Artificial Intelligence in healthcare, agriculture, finance, education, manufacturing, robotics and smart cities
Easy
A.By removing patient records
B.By helping detect diseases in medical images
C.By preventing medical measurements
D.By replacing hospital buildings
Correct Answer: By helping detect diseases in medical images
Explanation:
AI can analyze medical images and help identify patterns associated with diseases.
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13Which is an example of AI use in agriculture?
Applications of Artificial Intelligence in healthcare, agriculture, finance, education, manufacturing, robotics and smart cities
Easy
A.Painting farm fences
B.Detecting crop diseases
C.Increasing soil color
D.Replacing all farming tools
Correct Answer: Detecting crop diseases
Explanation:
AI can analyze images and sensor data to detect crop diseases and support farm management.
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14Which financial activity can use Artificial Intelligence?
Applications of Artificial Intelligence in healthcare, agriculture, finance, education, manufacturing, robotics and smart cities
Easy
A.Changing bank building designs
B.Detecting fraudulent transactions
C.Removing account verification
D.Printing currency by hand
Correct Answer: Detecting fraudulent transactions
Explanation:
AI can identify unusual transaction patterns that may indicate fraud.
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15How can AI support education?
Applications of Artificial Intelligence in healthcare, agriculture, finance, education, manufacturing, robotics and smart cities
Easy
A.By removing all assessments
B.By preventing student feedback
C.By replacing classroom furniture
D.By providing personalized learning
Correct Answer: By providing personalized learning
Explanation:
AI systems can adapt content and feedback to suit the needs and progress of individual learners.
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16Which is a common use of AI in manufacturing?
Applications of Artificial Intelligence in healthcare, agriculture, finance, education, manufacturing, robotics and smart cities
Easy
A.Changing factory colors
B.Manual product labeling
C.Predictive maintenance
D.Removing machine sensors
Correct Answer: Predictive maintenance
Explanation:
Predictive maintenance uses AI to identify signs of equipment failure before a breakdown occurs.
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17In an AI problem, what does the initial state represent?
Artificial Intelligence problem formulation and state-space representation
Easy
A.The final answer
B.The search cost
C.The starting condition
D.The list of possible actions
Correct Answer: The starting condition
Explanation:
The initial state describes the condition from which problem solving begins.
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18What does a goal state represent in a problem-solving task?
Artificial Intelligence problem formulation and state-space representation
Easy
A.A desired solution condition
B.An unused input value
C.A random starting point
D.An unavailable action
Correct Answer: A desired solution condition
Explanation:
A goal state is a condition that satisfies the objective of the problem.
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19A problem is called deterministic when:
Problem characteristics
Easy
A.The goal is never defined
B.No action can change the state
C.Every action has a random result
D.Each action has a predictable result
Correct Answer: Each action has a predictable result
Explanation:
In a deterministic problem, the outcome of an action is known and predictable.
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20What is the search space of an AI problem?
Search space and solution space
Easy
A.The set of states considered during search
B.The physical area of a laboratory
C.The memory size of the computer
D.The number of users of a system
Correct Answer: The set of states considered during search
Explanation:
The search space contains the possible states and paths that an algorithm may examine.
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21A hospital system recommends possible diagnoses by comparing a patient's symptoms with patterns learned from previous cases. Which AI capability is primarily demonstrated?
Introduction to Artificial Intelligence
Medium
A.Manual rule execution
B.Hardware resource allocation
C.Random data generation
D.Perception and classification
Correct Answer: Perception and classification
Explanation:
The system interprets symptoms and assigns them to possible diagnostic categories, which is a classification task supported by AI.
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22Why did expert systems become less popular during periods known as AI winters?
History and evolution of Artificial Intelligence
Medium
A.They required extensive hand-coded knowledge
B.They depended entirely on image sensors
C.They were designed only for entertainment
D.They could not process any symbolic data
Correct Answer: They required extensive hand-coded knowledge
Explanation:
Expert systems were difficult and expensive to maintain because domain knowledge had to be manually represented and updated.
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23A recommendation system improves its suggestions as it receives more user feedback. Which characteristic of AI does this best illustrate?
Characteristics and types of Artificial Intelligence
Medium
A.Adaptability through learning
B.Fixed behavior without updates
C.Dependence on physical movement
D.Restriction to arithmetic operations
Correct Answer: Adaptability through learning
Explanation:
Using feedback to improve future recommendations demonstrates the ability to learn and adapt from experience.
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24A chess program is highly effective at chess but cannot diagnose diseases or understand ordinary conversation. How should this system be classified?
Characteristics and types of Artificial Intelligence
Medium
A.Human-level artificial consciousness
B.General or strong AI
C.Self-aware superintelligence
D.Narrow or weak AI
Correct Answer: Narrow or weak AI
Explanation:
Narrow AI performs well within a specific task or domain but does not possess broad human-like intelligence.
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25Which statement best describes the relationship among AI, machine learning, and deep learning?
Artificial Intelligence vs Machine Learning vs Deep Learning vs Data Science
Medium
A.Deep learning uses only manually written rules
B.Artificial intelligence is a subset of deep learning
C.Machine learning is unrelated to artificial intelligence
D.Deep learning is a subset of machine learning
Correct Answer: Deep learning is a subset of machine learning
Explanation:
AI is the broad field, machine learning is one approach within AI, and deep learning is a machine learning approach based on multilayer neural networks.
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26A data science team cleans sales data, creates dashboards, identifies trends, and uses a predictive model to estimate future demand. Which conclusion is most accurate?
Artificial Intelligence vs Machine Learning vs Deep Learning vs Data Science
Medium
A.The work combines data science and machine learning
B.The work represents only deep learning
C.The work excludes all forms of AI
D.The work is limited to robotics control
Correct Answer: The work combines data science and machine learning
Explanation:
Data preparation and analysis are data science activities, while predictive modeling is a machine learning activity.
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27During an AI project, a model performs well during development but poorly after deployment because real-world data has changed. Which lifecycle activity should address this issue?
Intelligent systems and Artificial Intelligence lifecycle
Medium
A.Continuous monitoring and model updating
B.Replacement of all input variables
C.Initial problem definition only
D.Permanent removal of evaluation data
Correct Answer: Continuous monitoring and model updating
Explanation:
Monitoring detects changes in data or performance, and updating the model helps maintain accuracy after deployment.
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28An intelligent traffic system receives sensor data, evaluates congestion, changes signal timings, and observes the resulting traffic flow. Which property of an intelligent system is most evident?
Intelligent systems and Artificial Intelligence lifecycle
Medium
A.Perception, decision, and action
B.One-time computation without feedback
C.Manual control without environmental input
D.Data storage without interpretation
Correct Answer: Perception, decision, and action
Explanation:
The system senses its environment, makes decisions based on the data, takes action, and observes the effects.
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29A farming system combines satellite images, soil measurements, and weather forecasts to determine where irrigation is needed. What is the main AI benefit?
Applications of Artificial Intelligence in healthcare, agriculture, finance, education, manufacturing, robotics and smart cities
Medium
A.Replacement of all agricultural workers
B.Complete elimination of weather uncertainty
C.Precision resource management
D.Conversion of soil into digital information
Correct Answer: Precision resource management
Explanation:
AI can combine multiple data sources to apply water and other resources more precisely, reducing waste and improving crop management.
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30A bank uses an AI model to flag unusual transactions for review. Which design concern is especially important for this application?
Applications of Artificial Intelligence in healthcare, agriculture, finance, education, manufacturing, robotics and smart cities
Medium
A.Ignoring historical transaction patterns
B.Maximizing the number of blocked customers
C.Using only the transaction amount
D.Balancing fraud detection with false alarms
Correct Answer: Balancing fraud detection with false alarms
Explanation:
A useful fraud detection system must identify suspicious activity while limiting false positives that inconvenience legitimate customers.
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31In an adaptive education platform, a learner repeatedly makes errors with fractions. What is an appropriate AI-based response?
Applications of Artificial Intelligence in healthcare, agriculture, finance, education, manufacturing, robotics and smart cities
Medium
A.Recommend targeted practice on fractions
B.Increase difficulty in unrelated subjects
C.Assign identical content to every learner
D.Remove all mathematical exercises
Correct Answer: Recommend targeted practice on fractions
Explanation:
Adaptive systems use learner performance to personalize content and address specific areas of difficulty.
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32A manufacturing robot detects a defective component using a camera and removes it from a production line. Which combination of AI functions is involved?
Applications of Artificial Intelligence in healthcare, agriculture, finance, education, manufacturing, robotics and smart cities
Medium
A.Audio compression and file transfer
B.Database backup and encryption
C.Visual perception and physical action
D.Text summarization and translation
Correct Answer: Visual perception and physical action
Explanation:
The robot interprets camera input to identify the defect and then performs a physical action based on that interpretation.
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33For a route-finding problem, which set correctly represents the essential components of a state-space formulation?
Artificial Intelligence problem formulation and state-space representation
Medium
A.Rows, columns, keys, and indexes
B.Training labels, epochs, gradients, and loss
C.Pixels, filters, pooling, and activation
D.Initial state, actions, transition model, and goal test
Correct Answer: Initial state, actions, transition model, and goal test
Explanation:
A state-space problem defines where the agent starts, possible actions, resulting states, and how to recognize a goal.
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34In a sliding-tile puzzle, two board arrangements differ only because one tile has moved into the empty position. How should this relationship be represented?
Artificial Intelligence problem formulation and state-space representation
Medium
A.As a change in the goal definition
B.As two unrelated problem instances
C.As an increase in the heuristic value only
D.As a transition produced by a legal action
Correct Answer: As a transition produced by a legal action
Explanation:
A legal tile movement transforms one board configuration into another, creating an edge between the two states.
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35A delivery robot operates in a warehouse where other robots move unpredictably and sensor readings are sometimes incomplete. Which problem characteristics apply?
Problem characteristics
Medium
A.Dynamic and partially observable
B.Static and fully observable
C.Single-state and independent
D.Deterministic and completely known
Correct Answer: Dynamic and partially observable
Explanation:
The environment changes while the robot acts, and incomplete sensor information prevents the robot from observing the full state.
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36Why is an action sequence often preferred over a single action when solving a navigation problem?
Problem characteristics
Medium
A.A single action always changes every state
B.Navigation problems have no possible final state
C.Actions cannot be represented in a search tree
D.The goal usually requires multiple state transitions
Correct Answer: The goal usually requires multiple state transitions
Explanation:
Navigation generally requires a sequence of movements, with each action producing a new state until the destination is reached.
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37A search algorithm explores 1,000 reachable states, but only 18 of them satisfy the goal condition. What does the set of 18 states represent?
Search space and solution space
Medium
A.The goal states within the search space
B.The branching factor of the search
C.The initial state of the problem
D.The complete set of expanded states
Correct Answer: The goal states within the search space
Explanation:
The search space contains reachable states, while the 18 states are the subset that meet the problem's goal condition.
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38A problem has a branching factor of and a maximum search depth of . Approximately how many nodes can appear in the complete search tree, including the root?
Search space and solution space
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
The total is nodes.
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39An emergency response AI must find routes quickly, but the routes should also be short and safe. Which performance evaluation is most appropriate?
Performance measures
Medium
A.Measure only whether any route exists
B.Measure only the program's memory size
C.Measure time, route cost, and safety
D.Measure only the number of generated states
Correct Answer: Measure time, route cost, and safety
Explanation:
Performance should reflect the application's objectives, including response time, quality of the route, and safety constraints.
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40A search problem has a reliable heuristic estimating the remaining distance to the goal. Which approach can use this information to prioritize promising states?
Overview of Artificial Intelligence-based problem-solving approaches
Medium
A.Manual enumeration without transitions
B.Heuristic or informed search
C.Blind search without state ordering
D.Random sampling without evaluation
Correct Answer: Heuristic or informed search
Explanation:
Informed search uses problem-specific estimates, or heuristics, to decide which states are more promising to explore.
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41A delivery agent selects the action with the highest expected utility given its sensor history and probabilistic model. The selected action later causes a poor outcome because an unlikely road closure occurred. Which conclusion is most accurate?
Introduction to Artificial Intelligence
Hard
A.The agent is rational only if its internal model predicts every environmental event correctly
B.The agent can still be rational because rationality depends on expected performance given available evidence
C.The agent is non-intelligent because probabilistic models cannot support autonomous decisions
D.The agent is irrational because a rational agent must always achieve the best realized outcome
Correct Answer: The agent can still be rational because rationality depends on expected performance given available evidence
Explanation:
Agent rationality concerns choosing the action expected to perform best using available knowledge, not guaranteeing the best outcome after uncertain events are realized.
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42Which sequence places the following AI milestones in the correct chronological order?
History and evolution of Artificial Intelligence
Hard
A.Dartmouth workshop, second AI winter, commercial expert systems, AlexNet breakthrough
B.Commercial expert systems, second AI winter, Dartmouth workshop, AlexNet breakthrough
C.Dartmouth workshop, commercial expert systems, second AI winter, AlexNet breakthrough
D.Commercial expert systems, Dartmouth workshop, second AI winter, AlexNet breakthrough
Correct Answer: Dartmouth workshop, commercial expert systems, second AI winter, AlexNet breakthrough
Explanation:
The Dartmouth workshop occurred in 1956, expert systems expanded commercially in the 1970s and 1980s, the second AI winter began in the late 1980s, and AlexNet appeared in 2012.
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43An AI laboratory demonstrates strong prototypes, but deployment collapses because computing costs are excessive, systems are brittle outside curated examples, and promised capabilities were overstated. Which historical pattern does this most closely reproduce?
History and evolution of Artificial Intelligence
Hard
A.The rise of expert systems caused by universal success in transferring domain knowledge
B.The deep-learning resurgence caused by declining data availability and smaller computational models
C.An AI winter caused by unmet expectations, limited resources, and reduced institutional funding
D.The transition from symbolic AI to cybernetics caused by complete theoretical convergence
Correct Answer: An AI winter caused by unmet expectations, limited resources, and reduced institutional funding
Explanation:
AI winters followed gaps between ambitious claims and practical capability, often amplified by computational limits, brittle systems, and subsequent funding reductions.
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44A system can outperform every human at chess but cannot transfer its learned strategies to contract analysis, household navigation, or medical diagnosis without task-specific redesign. How should it be classified?
Characteristics and types of Artificial Intelligence
Hard
A.Narrow AI because its competence is exceptional but confined to a specialized domain
B.Self-aware AI because strategic search requires an explicit model of subjective experience
C.Strong AI because superhuman accuracy implies human-level understanding across domains
D.Artificial general intelligence because it exceeds human performance in one intellectual task
Correct Answer: Narrow AI because its competence is exceptional but confined to a specialized domain
Explanation:
Performance level does not determine generality. A system remains narrow AI when it cannot flexibly transfer competence across substantially different domains.
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45A team cleans transaction data, performs statistical exploration, trains a transformer to classify fraud, and embeds the model in an autonomous case-routing system. Which characterization is most precise?
Artificial Intelligence vs Machine Learning vs Deep Learning vs Data Science
Hard
A.The entire project is deep learning because every project stage depends on a neural classifier
B.Data science supports analysis, deep learning is the model method, and the deployed agent is an AI system
C.Data science covers the full project, while AI, machine learning, and deep learning are equivalent terms
D.AI supplies data preparation, data science supplies autonomy, and deep learning supplies evaluation
Correct Answer: Data science supports analysis, deep learning is the model method, and the deployed agent is an AI system
Explanation:
Deep learning is a subset of machine learning, while data science includes broader data work. The autonomous system using the model belongs to the wider scope of AI.
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46Which system is an example of AI problem solving that does not inherently require machine learning?
Artificial Intelligence vs Machine Learning vs Deep Learning vs Data Science
Hard
A.A clustering pipeline that discovers customer segments from unlabeled transaction vectors
B.A convolutional network that estimates product defects from labeled manufacturing images
C.A reinforcement-learning agent that improves routing through repeated simulated interactions
D.A rule-based planner that searches a known action model to construct a valid warehouse schedule
Correct Answer: A rule-based planner that searches a known action model to construct a valid warehouse schedule
Explanation:
Search and symbolic planning are AI techniques even when their rules and transition models are manually specified rather than learned from data.
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47A loan model retains high aggregate accuracy after deployment, but approval errors rise sharply for a newly introduced applicant category. Which lifecycle response is most appropriate?
Intelligent systems and Artificial Intelligence lifecycle
Hard
A.Replace all historical data with recent predictions because deployed outputs are reliable labels
B.Inspect subgroup drift and error costs, then retrain or recalibrate under updated governance checks
C.Remove monitoring because stable aggregate accuracy demonstrates that the model remains valid
D.Increase the classification threshold globally because aggregate accuracy conceals model complexity
Correct Answer: Inspect subgroup drift and error costs, then retrain or recalibrate under updated governance checks
Explanation:
Aggregate performance can hide subgroup degradation. Lifecycle management requires drift diagnosis, disaggregated evaluation, corrective modeling, and renewed governance validation.
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48A cleaning robot observes only its current camera image, while the same image may correspond to different room locations requiring different actions. What change most directly improves the robot's decision state?
Intelligent systems and Artificial Intelligence lifecycle
Hard
A.Use the current image as a complete state because identical observations imply identical situations
B.Replace the performance measure with image resolution so perception becomes the primary objective
C.Store relevant observation and action history to maintain a belief about the hidden location
D.Increase actuator speed so that uncertainty is resolved through faster physical movement
Correct Answer: Store relevant observation and action history to maintain a belief about the hidden location
Explanation:
The environment is partially observable because one image does not identify the underlying state. A history-based belief state can summarize uncertainty about hidden locations.
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49A disease-screening model is deployed where prevalence is far lower than in its training hospital. Its sensitivity and specificity remain approximately unchanged. Which quantity is most likely to decrease substantially?
Applications of Artificial Intelligence in healthcare, agriculture, finance, education, manufacturing, robotics and smart cities
Hard
A.The model's sensitivity among patients who truly have the disease
B.The model's specificity among patients who do not have the disease
C.The positive predictive value among patients receiving positive results
D.The negative predictive value among patients receiving negative results
Correct Answer: The positive predictive value among patients receiving positive results
Explanation:
With stable sensitivity and specificity, lower prevalence produces a larger proportion of false positives among all positive predictions, reducing positive predictive value.
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50An agricultural irrigation agent receives noisy moisture readings, cannot directly observe underground water distribution, and sees crop response only after several days. Which formulation best captures the task?
Applications of Artificial Intelligence in healthcare, agriculture, finance, education, manufacturing, robotics and smart cities
Hard
A.A supervised classification problem where each sensor reading has an immediate correct action label
B.A fully observable deterministic search problem with irrigation volume as the only state
C.A static constraint problem because irrigation actions do not alter future environmental conditions
D.A partially observable sequential decision problem with delayed effects and uncertain transitions
Correct Answer: A partially observable sequential decision problem with delayed effects and uncertain transitions
Explanation:
Hidden soil conditions create partial observability, weather and absorption create uncertain transitions, and delayed crop response makes decisions sequential rather than static.
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51In fraud detection, missing a fraudulent transfer costs , investigating a legitimate transfer costs , and predicted probabilities are calibrated. Ignoring other costs, at what fraud probability should a transaction be investigated?
Applications of Artificial Intelligence in healthcare, agriculture, finance, education, manufacturing, robotics and smart cities
Hard
A.Investigate when
B.Investigate when
C.Investigate when
D.Investigate when
Correct Answer: Investigate when
Explanation:
Investigating costs , while not investigating has expected cost . Investigation is preferred when , so .
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52An educational model accurately predicts which students will fail. The institution wants to identify students whose outcomes would improve because of tutoring. Why is ranking only by predicted failure risk insufficient?
Applications of Artificial Intelligence in healthcare, agriculture, finance, education, manufacturing, robotics and smart cities
Hard
A.Tutoring allocation cannot use historical data because educational outcomes are always nonstationary
B.High-risk students may not be those with the largest causal response to the tutoring intervention
D.Failure risk and tutoring benefit are identical only when the prediction model has low variance
Correct Answer: High-risk students may not be those with the largest causal response to the tutoring intervention
Explanation:
Risk prediction estimates likely outcomes without intervention. Resource allocation needs a causal estimate of how each student's outcome changes when tutoring is provided.
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53A predictive-maintenance system can replace a component now for , while failure before the next inspection costs . If the estimated failure probability is calibrated and replacement eliminates that risk, what is the cost-minimizing policy?
Applications of Artificial Intelligence in healthcare, agriculture, finance, education, manufacturing, robotics and smart cities
Hard
A.Replace when the failure probability exceeds
B.Replace when the failure probability exceeds
C.Replace when the failure probability exceeds
D.Replace when the failure probability exceeds
Correct Answer: Replace when the failure probability exceeds
Explanation:
Replacement is justified when . Solving gives .
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54Independent traffic-signal agents minimize delay only at their own intersections. Each learns to release vehicles toward already congested downstream roads, increasing network-wide gridlock. Which modification best addresses the failure?
Applications of Artificial Intelligence in healthcare, agriculture, finance, education, manufacturing, robotics and smart cities
Hard
A.Give each agent a network-aware reward and include downstream congestion in its observable state
B.Reduce every agent's observation to its local queue so state representations remain independent
C.Remove communication and randomize signal phases so agents cannot converge to similar policies
D.Optimize each intersection more frequently using the same local delay reward and local sensors
Correct Answer: Give each agent a network-aware reward and include downstream congestion in its observable state
Explanation:
The local objective ignores cross-intersection externalities. Network-aware rewards and downstream observations better align individual decisions with system-level traffic performance.
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55A route planner defines a state only as the current city, but fuel prices vary and the vehicle's remaining fuel affects which roads are feasible. What is the fundamental flaw?
Artificial Intelligence problem formulation and state-space representation
Hard
A.The state contains too many variables, causing equivalent routes to become separate solutions
B.The transition model should ignore road feasibility to keep the search graph fully connected
C.The goal test must be removed because fuel constraints already define the destination implicitly
D.The state omits fuel level, so identical represented states can have different valid successors
Correct Answer: The state omits fuel level, so identical represented states can have different valid successors
Explanation:
A valid state must contain enough information to determine future actions and costs. Current city alone is not Markovian when feasibility depends on remaining fuel.
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56In a block-stacking problem, two search nodes contain the same physical arrangement but were reached through different action sequences. Under the standard state-space formulation, how should they be treated?
Artificial Intelligence problem formulation and state-space representation
Hard
A.As different goals because path histories determine whether an arrangement satisfies constraints
B.As different states because a state is defined by the complete sequence of preceding actions
C.As the same solution, even if neither arrangement satisfies the specified goal condition
D.As the same state, while retaining path information separately when path cost is relevant
Correct Answer: As the same state, while retaining path information separately when path cost is relevant
Explanation:
The physical arrangement determines the world state. Search nodes may additionally store parent links and path costs, but distinct histories need not create distinct states.
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57An agent knows all possible outcomes of each action, but an action may lead to several outcomes chosen unpredictably. After every action, the resulting state becomes fully observable. Which approach is most appropriate?
Problem characteristics
Hard
A.Unsupervised clustering because successor states have no externally supplied class labels
B.Binary classification because each action can be evaluated independently of future outcomes
C.AND-OR search because a valid plan must handle every possible action outcome
D.Linear single-path search because complete observability makes every action deterministic
Correct Answer: AND-OR search because a valid plan must handle every possible action outcome
Explanation:
The task is observable but nondeterministic. AND-OR search constructs contingent plans that specify responses for every possible outcome of selected actions.
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58A constraint satisfaction problem has variables, each with domain size . Before constraints are applied, there are complete assignments, but only satisfy all constraints. Which statement is correct?
Search space and solution space
Hard
A.The search space may include partial and invalid assignments, while the solution space contains the valid assignments
B.The search and solution spaces are identical whenever every variable uses the same domain size
C.The solution space has size , while the search space contains only partial assignments
D.The search space contains only the satisfying assignments because invalid assignments are never states
Correct Answer: The search space may include partial and invalid assignments, while the solution space contains the valid assignments
Explanation:
A search procedure may explore partial assignments and branches that later violate constraints. The solution space is the subset of complete assignments satisfying every constraint.
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59Two medical triage agents have equal accuracy. Agent X has more false negatives, while Agent Y has more false positives. Missing an emergency is far costlier than unnecessary review. Which evaluation is most defensible?
Performance measures
Hard
A.Prefer Agent Y if its cost-weighted expected loss is lower under the deployment prevalence
B.Treat the agents as equivalent because performance measures cannot encode asymmetric consequences
C.Prefer Agent X because false-positive counts should dominate all safety-critical evaluations
D.Prefer Agent X because equal accuracy proves both agents have equal expected clinical utility
Correct Answer: Prefer Agent Y if its cost-weighted expected loss is lower under the deployment prevalence
Explanation:
Accuracy ignores asymmetric error costs. A suitable performance measure weights false negatives and false positives by their consequences and expected deployment frequencies.
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60Graph-search A* uses an admissible but inconsistent heuristic and permanently closes expanded states without reopening them when cheaper paths are found. Which guarantee can fail?
Overview of Artificial Intelligence-based problem-solving approaches
Hard
A.Soundness can fail because A* may return a path that does not reach any goal state
B.Completeness can fail only because admissibility requires negative edge costs
C.Termination can fail because inconsistent heuristics always assign infinite values to goals
D.Optimality can fail because a cheaper path to a previously closed state may appear later
Correct Answer: Optimality can fail because a cheaper path to a previously closed state may appear later
Explanation:
Admissibility alone is insufficient for graph A* that never reopens states. With inconsistency, a lower-cost route to an already closed state may be discovered after expansion.
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