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Free Artificial-Intelligence-Foundation Exam Braindumps (page: 3)

Page 3 of 11
PDF with 40 Questions

An Al agent relies on its perceptual input. This is called the agent's what?

  1. Position
  2. Environment
  3. World
  4. Percept

Answer(s): D

Explanation:

Agent Terminology

Performance Measure of Agent - It is the criteria, which determines how successful an agent is.

Behavior of Agent - It is the action that agent performs after any given sequence of percepts.

Percept - It is agent's perceptual inputs at a given instance.

Percept Sequence - It is the history of all that an agent has perceived till date.

Agent Function - It is a map from the precept sequence to an action.

https://www.tutorialspoint.com/artificial_intelligence/artificial_intelligence_agents_and_environme nts.htm

An AI agent relies on its perceptual input, which is referred to as the agent's percept. This is the data that the agent collects through its sensors about its environment. The percept allows the agent to make decisions and take actions based on its environment. The agent's percept is important for Artificial Intelligence systems to be able to operate effectively.


Reference:

[1] BCS Foundation Certificate In Artificial Intelligence Study Guide, "Reinforcement Learning", p.96-

97. [2] APMG-International.com, "Foundations of Artificial Intelligence" [3] EXIN.com, "Foundations of Artificial Intelligence"



An agent based model is a simul-ation of autonomous agents (individual and collective).
What can be used to learn from the data generated by the simul-ations?

  1. Paraview.
  2. Machine Learning.
  3. Python.
  4. A spreadsheet

Answer(s): B

Explanation:

An agent based model is a simulation of autonomous agents (individual and collective). Machine learning can be used to learn from the data generated by the simulations. Machine learning algorithms can analyze the data generated by simulations and identify patterns, which can then be used to help the agent make decisions and take actions.


Reference:

[1] BCS Foundation Certificate In Artificial Intelligence Study Guide, "Simulation and Modelling", p.101-104. [2] APMG-International.com, "Foundations of Artificial Intelligence" [3] EXIN.com, "Foundations of Artificial Intelligence"



What term do computer scientists and economists use to describe how happy an agent is?

  1. Index.
  2. Warm.
  3. Return
  4. Utility.

Answer(s): D

Explanation:

https://griffinshare.fontbonne.edu/cgi/viewcontent.cgi?article=1008&context=ijds

Computer scientists and economists use the term "utility" to describe how happy an agent is. Utility is a measure of satisfaction or preference, and it is used to evaluate an agent's satisfaction with a particular outcome. Utility can be used to determine the optimal decision or action for an agent to take in order to maximize its satisfaction.


Reference:

[1] BCS Foundation Certificate In Artificial Intelligence Study Guide, "Decision Making and Planning", p.99-100. [2] APMG-International.com, "Foundations of Artificial Intelligence" [3] EXIN.com, "Foundations of Artificial Intelligence"



How could machine learning make a robot autonomous?

  1. Use OCR, optical character recognition, to read documents
  2. Use NLP (Natural Language Processing) to listen
  3. Use actuators to modify its environment
  4. Learn from sensor data and plan to carry out a task.

Answer(s): D

Explanation:

Machine learning can be used to make robots autonomous by allowing them to learn from sensor data and plan how to carry out a task. This involves using algorithms to analyze data from sensors and use this data to make decisions and take actions. By using machine learning, robots can learn from their environment and become more autonomous.


Reference:

[1] BCS Foundation Certificate In Artificial Intelligence Study Guide, "Robotics", p.98. [2] APMG- International.com, "Foundations of Artificial Intelligence" [3] EXIN.com, "Foundations of Artificial Intelligence"



Page 3 of 11



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