What is an intelligent agent in the context of AI, and how does it interact with its environment? A system that only processes data without interacting with its environment. A passive observer that collects data but does not act on it. A machine that operates without any goals or objectives. An entity that perceives its surroundings through sensors and acts through its effectors to achieve its goals.

An entity that perceives its surroundings through sensors and acts through its effectors to achieve its goals.

Which of the following best describes the types of environments in AI? Linear versus Non-linear, Symmetric versus Asymmetric, Homogeneous versus Heterogeneous Fully versus Partially observable, Deterministic versus nondeterministic, Discrete versus continuous, Benign versus Adversarial Open versus Closed, Real-time versus Batch, Interactive versus Non-interactive Static versus Dynamic, Simple versus Complex, Predictable versus Unpredictable

Fully versus Partially observable, Deterministic versus nondeterministic, Discrete versus continuous, Benign versus Adversarial

How do fully observable environments differ from partially observable environments in AI? Partially observable environments provide complete state access, while fully observable environments do not. Both fully and partially observable environments provide complete state access. Fully observable environments provide complete state access, while partially observable environments do not. Neither fully nor partially observable environments provide complete state access.

Fully observable environments provide complete state access, while partially observable environments do not.

What distinguishes deterministic environments from nondeterministic environments in AI? Neither deterministic nor nondeterministic environments have predictable outcomes. Both deterministic and nondeterministic environments have predictable outcomes with no randomness. Nondeterministic environments have predictable outcomes with no randomness, while deterministic environments have uncertain outcomes with randomness. Deterministic environments have predictable outcomes with no randomness, while nondeterministic environments have uncertain outcomes with randomness.

Deterministic environments have predictable outcomes with no randomness, while nondeterministic environments have uncertain outcomes with randomness.

What is the key difference between discrete and continuous environments in AI? Discrete environments have a finite number of states, while continuous environments have an infinite number of states. Continuous environments have a finite number of states, while discrete environments have an infinite number of states. Both discrete and continuous environments have a finite number of states. Neither discrete nor continuous environments have a finite number of states.

Discrete environments have a finite number of states, while continuous environments have an infinite number of states.

How do benign environments differ from adversarial environments in AI? Benign environments are stable and predictable, while adversarial environments are constantly changing and unpredictable. Adversarial environments are stable and predictable, while benign environments are constantly changing and unpredictable. Both benign and adversarial environments are stable and predictable. Neither benign nor adversarial environments are stable and predictable.

Benign environments are stable and predictable, while adversarial environments are constantly changing and unpredictable.

What are the different types of agents in AI? Static agents, Dynamic agents, Interactive agents, Autonomous agents Reactive agents, Proactive agents, Hybrid agents, Learning agents Deterministic agents, Nondeterministic agents, Discrete agents, Continuous agents Simple reflex agents, Model-based reflex agents, Goal-based agents, Utility-based agents

Simple reflex agents, Model-based reflex agents, Goal-based agents, Utility-based agents

What characterizes simple reflex agents in AI? They use complex algorithms to predict future states. They maintain a model of the world to make decisions. They optimize utility functions for decision-making. They respond directly to percepts with limited intelligence.

They respond directly to percepts with limited intelligence.

What is the primary function of model-based reflex agents in AI? They respond directly to percepts with limited intelligence. They act to achieve their goals. They find rules to handle the current situation. They optimize a utility function for decision-making.

They find rules to handle the current situation.

What is the main objective of goal-based agents in AI? They respond directly to percepts. They act to achieve their goals. They optimize a utility function for decision-making. They find rules to handle the current situation.

They act to achieve their goals.

AI Midterm 1

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Computer Science - Artificial Intelligence

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Cards in this deck(19)

What is an intelligent agent in the context of AI, and how does it interact with its environment?

Which of the following best describes the types of environments in AI?

How do fully observable environments differ from partially observable environments in AI?

What distinguishes deterministic environments from nondeterministic environments in AI?

What is the key difference between discrete and continuous environments in AI?

How do benign environments differ from adversarial environments in AI?

What are the different types of agents in AI?

What characterizes simple reflex agents in AI?

What is the primary function of model-based reflex agents in AI?

What is the main objective of goal-based agents in AI?

How do utility-based agents make decisions in AI?

What assumptions are made when navigating in a map in AI?

What are the components of a Node class in AI?

What are the key considerations in a search strategy for graphs in AI?

What do the variables b, d, and m represent in time/space complexity analysis in AI?

Which of the following are uninformed search strategies in AI?

What are the characteristics of Breadth-First Search (BFS) in AI?

What are the characteristics of Depth-First Search (DFS) in AI?

What are the characteristics of Uniform Cost Search (UCS) in AI?

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AI Midterm 1

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