This computer science problem involves algorithmic thinking and programming concepts. The solution below explains the approach, logic, and implementation step by step.

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Here are the answers to the multiple-choice questions:
1) A component responsible for selecting external actions in a learning element is: The performance element is responsible for selecting actions. B. Performance element
2) Component of an agent program that acts as a black-box is: An atomic component is treated as a single, indivisible unit, fitting the "black-box" description. B. Atomic
3) Deep Learning is a type of Machine Learning generally based on? Deep Learning utilizes artificial neural networks with multiple layers. A. Neural Networks
4) What is an environment in AI? The environment is the world in which an AI agent operates and interacts. B. The real or virtual world in which an an AI agent operates and interacts
5) Machine Learning Solves the following problem categories, EXCEPT; Classification, Regression, and Clustering are problem categories. Deep Learning is a method within Machine Learning, not a problem category itself. D. Deep Learning
6) When is machine learning better to be used; Machine learning excels with large problems and high rule complexity where explicit programming is difficult. B. Large problem with High rule complexity
7) The Artificial Intelligence level where Machines perform same level as humans in a given task? Narrow AI refers to AI systems designed for a specific task, where they can perform at or above human level. C. Narrow AI
8) What is Artificial Intelligence (AI)? AI systems are designed to perform tasks that typically require human intelligence. A. A system that mimics human behavior and performs tasks that require human intelligence
9) The assumption that an Agent program runs on some computing device with sensors and Actuators is; The architecture refers to the underlying hardware and software platform that hosts the agent program, including its sensors and actuators. A. Architecture
10) Which of the following is an example of Weak AI? Weak AI (or Narrow AI) is characterized by its focus on specific, limited tasks, such as voice recognition. B. An AI system that only focuses on a narrow task, like voice recognition
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Welcome back nantajjarasheed26 — missed you this week.
This computer science problem involves algorithmic thinking and programming concepts. The solution below explains the approach, logic, and implementation step by step.