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Our Artificial-Intelligence-Foundation learning dump can stimulate the real exam's environment to make the learners be personally on the scene and help the learners adjust the speed when they attend the real exam.NEW QUESTION 29
How could machine learning make a robot autonomous?- A. Use actuators to modify its environment
- B. Use OCR, optical character recognition, to read documents
- C. Learn from sensor data and plan to carry out a task.
- D. Use NLP (Natural Language Processing) to listen
Answer: C
Explanation:
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. References:
[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"
NEW QUESTION 30
What is an intelligent robot?- A. A robot that takes the place of a human.
- B. A robot that acts like a human.
- C. A robot that uses Al techniques.
- D. A robot that has consciousness
Answer: C
Explanation:
Explanation
An intelligent robot is one that uses AI techniques, such as machine learning and natural language processing, to perceive, plan and act on its environment. Intelligent robots are able to process large amounts of data quickly and accurately, allowing them to make decisions and carry out tasks autonomously. Intelligent robots can be used in a variety of applications, from industrial automation to healthcare.
NEW QUESTION 31
In an Al project the domain expert is the person...- A. who measures the trustworthiness of the Al system
- B. who manages the agile project and writes the technical terms of reference
- C. with technical and managerial oversight of the business plan
- D. with special knowledge or skills in the area of endeavour and defines what is fit for purpose'
Answer: D
Explanation:
Explanation
In an AI project, a domain expert is a person with special knowledge or skills in that particular area of endeavour, and they are responsible for defining what is "fit for purpose" for the project. The domain expert provides insights into the problem and suggests ways to address it. They also provide guidance on evaluating and validating the AI system and its outputs. The domain expert is also responsible for communicating with stakeholders and providing feedback on the progress of the project. References:-
BCS Foundation Certificate In Artificial Intelligence Study Guide (2019), AI & People, Chapter 12.
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https://www.apmg-international.com/en/al-adoption/domain-expert/
NEW QUESTION 32
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? -
A. Paraview.
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B. Machine Learning.
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C. A spreadsheet
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D. Python.
Answer: B
Explanation:
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. References:
[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"
NEW QUESTION 33
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