CCPS 721 - Chapter 2

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Toronto Metropolitan University *

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721

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Computer Science

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Apr 3, 2024

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pdf

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6

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Chapter 2 Test Chapter 2: Intelligent Agents Test 1.What is an intelligent agent? A) A program that can solve general mathematical problems. B) A system that perceives its environment and takes actions to maximize its chances of success. C) A device that follows a set of instructions in a database. D) A robot that can perform tasks without human intervention. 2.Which component of an intelligent agent perceives the environment? A) Actuators B) Sensors C) Performance measure D) Learning element 3.What does the term 'rational agent' refer to? A) An agent that always takes the action that leads to the best outcome. B) An agent that acts without thinking. C) An agent that can rationalize its failures. D) An agent that follows human commands accurately. 4.What is the main purpose of the PEAS description? A) To program the agent to perform specific tasks. B) To define the task environment of an agent. C) To measure the performance of the agent. D) To enhance the sensors and actuators of the agent. 5.Which of the following is NOT a component of the PEAS description? A) Performance measure B) Environment C) Algorithm D) Sensors 6.In the context of intelligent agents, what does 'observable' refer to in environment types? A) Whether an agent can observe the complete state of the environment at any point in time. B) Whether the environment can observe the actions of the agent. C) Whether the agent's sensors are functional. D) Whether the environment changes over time. 7.Which agent type operates on a condition-action rule? A) Simple reflex agent B) Goal-based agent C) Utility-based agent D) Learning agent
8.What distinguishes a goal-based agent from a simple reflex agent? A) The ability to learn from its environment. B) The use of an internal model to determine its actions. C) The ability to perform actions without sensing the environment. D) The use of sensors to directly influence its actions. 9.Which environment type best describes a chess game? A) Fully observable , deterministic , episodic, static , discrete, multi-agent . X B) Partially observable, stochastic, sequential, dynamic, continuous, single-agent. x C) Fully observable , deterministic , sequential , static , discrete , multi-agent . T D) Partially observable, deterministic, episodic, dynamic, discrete, single-agent. x 10.What does 'deterministic' imply about an environment in the context of intelligent agents? A) The next state of the environment is completely determined by the current state and the action executed by the agent. B) The environment randomly changes state over time. C) The agent has complete control over the environment. D) The environment remains unchanged regardless of the agent's actions. 11.Which of the following best describes a utility-based agent? A) It acts to achieve a specific goal state. X B) It acts to maximize a performance measure based on the current state. C) It reacts to the environment based on pre-defined rules. D) It improves its performance based on past actions. 12.What characteristic of an environment refers to whether each episode is independent of previous episodes? A) Observable B) Deterministic C) Episodic D) Static 13.A learning agent's main function is to: A) React to the current state of the environment. B) Improve its performance over time. C) Achieve a specific goal state. D) Maximize the utility of its actions. 14.Which is an example of a sensor in a vacuum-cleaner robot? A) A device that moves the robot to a specific location. B) A camera that detects dirt. C) A mechanism to empty the dirt container. D) Software that plans the cleaning path.
15.In a dynamic environment: A) The environment does not change while the agent is deliberating. B) The environment changes in response to the agent's actions only. C) The environment can change while the agent is deliberating. D) The environment remains constant regardless of any external factors. 16.What does it mean for an agent to act rationally? A) It acts to achieve its goals without considering the consequences. B) It always takes the action that is expected to maximize its performance measure, based on the evidence provided by the percept sequence and whatever built-in knowledge the agent has. C) It follows a set of pre-defined rules without error. D) It learns from its environment to improve its actions over time. 17.Which of the following is an example of an actuator in a robotic agent? A) GPS module B) Camera C) Arm for picking objects D) Microphone 18.What advantage does a goal-based agent have over a simple reflex agent? A) It can operate without any sensors. B) It can choose among multiple goals to achieve the best outcome. C) It does not require any knowledge about the environment. D) It considers the future consequences of its actions. 19.What is a key feature of a utility-based agent? A) It uses a fixed set of rules to decide its actions. B) It selects actions based on a preference (utility) function over state outcomes. C) It aims to fulfill a specific goal regardless of the utility. D) It modifies its actions based on changes in the environment without considering its own state. 20.Which of the following scenarios would require a learning agent? A) A scenario where the environment is fully observable and static. B) A scenario where the agent must improve its performance over time in a changing environment. C) A scenario where the agent operates based on a fixed set of rules without change. D) A scenario where the agent's only task is to follow pre-programmed instructions. 21. What does the term 'episodic' imply about an agent's task environment? A) The agent's experience is divided into atomic "episodes." B) The agent has a continuous experience with no distinct episodes. C) Each episode depends on the outcome of the previous one.
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