AI

What is the core ability that defines intelligence?. Storing large amounts of data. Acquiring, understanding, and applying knowledge and skills. Performing calculations at high speed. Operating without human intervention.

Which component of intelligence involves using available information to generate predictions and draw conclusions?. Learning. Perception. Reasoning. Linguistic Intelligence.

The process of selecting the best alternative from multiple options to reach a goal is part of: Perception. Problem Solving. Linguistic Intelligence. Learning.

Which component of intelligence is crucial for interpersonal communication?. Reasoning. Problem Solving. Linguistic Intelligence. Perception.

The process of acquiring, interpreting, and organizing sensory information from the environment is known as: Learning. Reasoning. Perception. Problem Solving.

A key difference between Human and Machine Intelligence is that human intelligence is __, while AI is typically __. Fast and accurate / Slow and error-prone. Broad and adaptive / Narrow and task-specific. Logical and unemotional / Creative and emotional. Dependent on data / Independent and creative.

Which aspect is a distinct advantage of Artificial Intelligence over Human Intelligence?. Creativity and innovation. Emotional and ethical judgment. Speed and accuracy in computations. Adapting to unfamiliar situations.

Which AI approach is concerned with mimicking the internal cognitive processes of the human mind?. Acting Humanly. Thinking Rationally. Acting Rationally. Thinking Humanly.

The Turing Test is directly associated with which approach to AI?. Thinking Humanly. Acting Humanly. Thinking Rationally. Acting Rationally.

An expert system in medicine that uses formal logic to diagnose a disease is an example of which approach?. Thinking Humanly. Acting Humanly. Thinking Rationally. Acting Rationally.

What is the key structural difference between Deep Learning (DL) and traditional Machine Learning (ML)?. DL uses simple neural networks with one or two layers. DL uses multilayered (three or more) neural networks. ML requires larger datasets than DL. ML generates new content, while DL does not.

Generative AI is primarily distinguished from other AI types by its ability to: Classify existing data into categories. Make predictions based on historical data. Create entirely new content based on learned patterns. Perform calculations with extreme speed.

An example of 'thinking rationally' is. A neural network recognizing images. A chatbot passing the Turing Test. A rule-based system diagnosing diseases. A robot assembling products.

A recommendation system on Netflix that improves its suggestions over time is an example of which goal of AI?. Mimicking Human Intelligence. Automation of Tasks. Problem Solving and Decision Making. Learning and Adaptation.

A key difference between the Thinking Humanly and Thinking Rationally approaches is that "Thinking Humanly" is concerned with_____, while "Thinking Rationally" is concerned with _____. external behavior / internal logic. passing the Turing Test / winning a chess game. mimicking the human mind's process / following formal rules of logic. acting optimally / acting emotionally.

Reasoning involves using available information to draw conclusions or generate predictions. True. False.

Problem solving is a component of intelligence that includes decision-making. True. False.

Perception is the same as learning, as both involve gaining new information. True. False.

Linguistic intelligence is unimportant for AI systems like chatbots. True. False.

A key advantage of human intelligence over AI is its speed and accuracy in computations. True. False.

AI can exhibit genuine creativity and emotions comparable to humans. True. False.

The Turing Test is designed to evaluate a machine's ability to think logically. True. False.

The "Acting Rationally" approach prioritizes the machine's internal thought process over the optimal outcome of its actions. True. False.

An AI that uses a set of logical rules to diagnose a disease is an example of "Thinking Rationally.". True. False.

A self-driving car using sensors to navigate traffic is an application of AI in perception. True. False.

The _______ approach makes a machine think as human. Cognitive modeling. Turning Test. Law of thought. Rational agent.

An expert system that uses a set of logical rules (e.g., IF symptom=X THEN disease=Y) to diagnose an illness exemplifies the ______ approach. Cognitive modeling. Turning Test. Law of thought. Rational agent.

An AI chatbot designed to converse so naturally that users can't tell it from a human is an example of __ approach. Cognitive modeling. Turning Test. Law of thought. Rational agent.

Artificial Intelligence has a unified and agreed definition. True. False.

Artificial intelligence is general intelligence and can handle a diverse range of tasks. True. False.

Human intelligence is: Broad, adaptive, and creative. Narrow and task-specific. Always faster than AI. Always accurate.

Generative AI creates. Predictions based on existing data. Entirely new content. Only numbers. Only text.

Is the agent that can work in uncertainty and perform the optimal solution. Goal-based agent. Rational agent. Intelligence agent. None of the above.

Human intelligence is general and adaptive, while AI is narrow and efficient. This means AI is: Good at many tasks. Specialized in specific tasks. Emotionally aware. Self-dependent.

The goal is to build systems that function internally in some way similar to the human mind. This approach is called. Law of thought. Acting humanly. Cognitive modeling. Rational agent.

Making decisions based on reasoning using logic refers to which AI approach?. Thinking humanly. Law of thought. Rational agent. Turing test.

Focuses on the final result being reasonable and optimal. Turing test. Rational agent. Cognitive modeling. Law of thought.

Two AI systems are compared: ➢ System A can explain its reasoning process step-by-step. ➢ System B produces correct results, but cannot justify how Which statement is most accurate?. System A represents Acting Rationally, System B represents Thinking Rationally. Both represent Acting Humanly since humans often can't explain intuition. System A aligns with Thinking Rationally, System B aligns with Acting Rationally. Both are examples of Thinking Humanly.

An agent is anything that can: Store information. Perceive and act in an environment. Process only visual data. Function without sensors.

The part of an agent that receives input from the environment is called ?. Actuator. Processor. Sensor. Memory.

The part of an agent that acts upon the environment is the: Actuator. Processor. Sensor. Memory.

In agent terminology, a "Percept" is: The agent's entire history of sensory inputs. the agent's reasoning process. The agent's perceptual inputs at a given moment. The agent's performance score.

In agent terminology, a "Percept Sequence" is: The agent's entire history of sensory inputs. the agent's reasoning process. The agent's perceptual inputs at a given moment. The agent's performance score.

The environment of an agent refers to: The internal memory of the agent. The external surroundings the agent interacts with. The program cod. The set of actions available.

A rational agent is one that : Always learns from mistakes. Always does the right thing to maximize performance. Acts randomly to test new outcomes. Ignores feedback from the environment.

An environment where the agent's sensors provide a complete and accurate picture of the world state is called: Deterministic. Fully Observable. Episodic. Static.

In a __________ environment, the next state is completely determined by the current state and the agent's action: Deterministic. Fully Observable. Episodic. Static.

In a ________ environment, the agent's current decision could affect all future possibilities. Deterministic. Sequential. Episodic. Static.

The environment itself does not change with the passage of time, but the agent’s performance score does. Static. Dynamic. Semi-dynamic. None of the above.

………. environment can't determine completely by agent action and current state of environment. Static. Deterministic. Stochastic. Episodic.

crossword is............environment. fully, single, continuous. competitive, discrete, stochastic. single, deterministic, sequential. not all of the above.

The environment of taxi-driver is stochastic and episodic. True. False.

Chess environment is ............ fully, deterministic, single agent. discrete, episodic, competitive. sequential, multiagent, stochastic. not all of the above.

taxi-driver..........environment. continuous, episodic. sequential, stochastic. multi agent, fully. not all of the above.

A in PEAS refers to ..... agent. artificial. actuators. None of the above.

An AI designed to play a perfect-information game like Chess, where it can see the entire board and the rules have no element of chance, operates in an environment that is: Fully Observable, Deterministic, Sequential, and Static. Partially Observable, Stochastic, Episodic, and Dynamic. Fully Observable, Stochastic, Sequential, and Static. Partially Observable, Deterministic, Episodic, and Dynamic.

An automated system on an assembly line uses a camera to inspect each individual part for defects. The decision to accept or reject part #105 is completely independent of the decision made for part #104. The environment for this agent is: Sequential and Fully Observable. Episodic and Fully Observable. Sequential and Partially Observable. Episodic and Partially Observable.

An AI for a self-driving car must navigate a busy highway. It cannot see what other drivers are thinking, and a car in an adjacent lane might suddenly change lanes. Furthermore, the car's position and the positions of other vehicles are constantly changing. This environment is: Partially Observable, Stochastic, Dynamic, and Continuous. Fully Observable, Deterministic, Static, and Discrete. Partially Observable, Deterministic, Dynamic, and Continuous. Fully Observable, Stochastic, Static, and Discrete.

Which component defines how the success of an agent's behavior is evaluated?. Sensors. Actuators. Performance Measure. Learning Element.

Which one of the following can be described as Sequential, Partially observable, Deterministic, and Multi-agent?. Chess. Taxi driver. Vacuum cleaner. Cards.

A function responsible for converting the percept sequence into an action is called an: Agent Program. Agent Function. Performance Measure. Learning Element.

Two agents are evaluated in the same environment: • Agent X: Performance level 60% • Agent Y: Performance level 80% Which agent is more rational?. Agent X. Agent Y. Both. Neither.

A rational agent can arrive at a performance measure with 60%, another agent can arrive with 80%. True. False.

The task of an agent is composed of which elements?. Performance measure, Environment, Actuators, Sensors. Performance measure, Environment, Learning element, Actuators. Goals, Utility, Actuators, Sensors. Internal state, Program, Performance measure, Actuators.

An agent operates in an environment where some parts of the state are missing from sensor data. What is the type of this environment, and the most appropriate agent program?. Fully observable, Simple Reflex Agent. Partially observable, Simple Reflex Agent. Fully observable, Goal-Based Agent. Partially observable, Model-Based Agent.

Chess is a: Fully observable, Dynamic. Fully observable, Episodic. Partially observable, Static. Fully observable, Sequential.