Intellegent Agents

Which of the following best describes an intelligent agent in AI?

• A system that acts randomly

• A system that only stores information

• A system that perceives and acts based on the environment

• A system that follows a fixed set of instructions

Which of the following components is NOT essential for an intelligent agent?

• Sensors

• Actuators

• Learning mechanisms

• Hardcoded responses

Which type of agent considers the entire sequence of actions before making a decision?

• Goal-based Agent

• Simple Reflex Agent

• Model-based Reflex Agent

• Utility-based Agent

What is the key property of an intelligent agent that differentiates it from a regular program?

• Ability to execute pre-written commands

• Ability to make decisions and adapt to the environment

• Ability to process data without feedback

• Ability to generate random outputs

Which of the following agents is most likely to exhibit flexibility?

• A thermostat adjusting temperature based on predefined values

• A vending machine dispensing selected items

• A digital clock displaying time

• A chatbot that generates responses based on deep learning

Which agent is best suited for an environment where uncertainty and changing conditions are common?

• Simple reflex agent

• Learning agent

• Goal-based agent

• Utility-based agent

Which of the following contributes most to an agent’s flexibility?

• Having a pre-programmed response for every situation

• Being able to learn from past experiences and adapt

• Relying only on fixed rule-based logic

• Ignoring feedback from the environment

Which of the following scenarios best demonstrates an agent’s flexibility?

• A chess engine that always plays the same strategy

• A calculator that performs basic arithmetic operations

• A GPS that provides the same route regardless of traffic conditions

• A recommendation system that personalizes content based on user behavior

An AI agent that improves its decision-making based on past mistakes is exhibiting:

• Random behavior

• Inflexibility

• Reinforcement learning

• Deterministic programming

A robotic vacuum that learns the layout of a house over time is an example of:

• A learning agent

• A reflex agent

• A static agent

• A non-flexible agent