42. a. In what sense is learning by imitation similar to learning by supervised training?       b. In what sense is learning by imitation ­different from learning by supervised training?

Q: EXCEPT a. particular structured knowledge, experts build their talents on all of the following. b.…

A: Introduction: Problem-Solving: A loose definition of problem-solving is to close the gap between the…

Q: Choose an area of study in which an expert system may be useful in the capacity of an assistant,…

A: Expert system: An expert system can be developed to help doctors diagnose diseases based on patient…

Q: Which of the following statements about supervised learning is not accurate? *   a) It is a form…

A: Supervised learning is a machine learning paradigm in which a model is trained using labeled data,…

Q: 9. Vikings always tell the truth and Saxons always lie. Given the following information, use a truth…

A: Given statements are: Person A: "I am Viking or B is a Saxon" Person B: "A is a Saxon if C is a…

Q: In what circumstances is it considered suitable to develop software using a weakly typed programming…

A: The choice of programming language is a crucial decision that greatly impacts the development…

Q: Please define each of the words listed below. a) Artificial intelligence; b) an agent; c)…

A: Artificial intelligence: Artificial intelligence is a hypothesis and advancement of Computer…

Q: a) Artificial intelligence; b) the concept of an agent; c) the ability to reason; and d) the Turing…

A: Artificial intelligence (AI) is rapidly growing field that involves the development of the…

Q: Question 4 Design a simple calculator using HTML and CSS that resembles the one shown in Figure 1…

A: The HTML and CSS code is present in the same code. CSS used: Internal

Q: What is true about rule based system? Select one: a. The definitions of rule-based system depend…

A: The questions are related to AI. Here are the answers:

Q: In the context of supervised learning, which of the following statements is not accurate?   a) It is…

A: 1) Supervised learning is a specific category of machine learning in which the algorithm learns to…

Q: Use an example to demonstrate the difference between supervised and unsupervised learning.

A: Supervised learning is a machine learning technique that involves training models with labelled…

Q: Please define each of the words listed below. a) Artificial intelligence; b) an agent; c)…

A: (a) Artificial Intelligence: Artificial Intelligence studies making computers think like humans. It…

Q: Question 2 Using natural language for defining the semantics of programming language : a. Is common…

A: Question 5 Answer Correct String : c) aaaabycccw                          d) abyw

Q: The attribution of human form or qualities to things such as machines or computers is called…

A: Given that, The attribution of human form or qualities to things such as machines or computers is…

Q: In the context of supervised learning, which of the following statements is not accurate? a) It is a…

A: Supervised learning  Supervised learning is a specific category of machine learning in which the…

Q: In the context of supervised learning, which of the following is not true?

A: Machine learning may also include supervised learning.Where an algorithm is trained using labeled…

Q: Use an example to demonstrate the difference between supervised and unsupervised learning.

A: Machine Learning: Machine learning is an area of artificial intelligence and computer science that…

Q: Explain whether the following sentence is metaethical, normative ethical, applied ethical and why:…

A: Answer of the following question This sentence is metaethical, as it is making a statement about…

Q: Problem II intelligence, and learning. Describe the relationship between evolution and one or more…

A: Given: Describe Evolution, autonomy, intelligence and learning.

Q: Do software architects pursue a singular objective? Consequently, I must ask, "What exactly do you…

A: Software architects play a crucial role in designing and developing complex software systems.…

Q: Choose a domain where an expert system can help as assistant and provide at least 5 rules for the…

A: A great way to do thisusing a professional program shell. The shell of a professional program can…

Q: “A Machine Learning algorithm do not consider text as input, it takes input in numeric form only”.…

A: Given: We are given that the machine learning algorithm only takes numeric input not text as input.…

Q: Which is false about supervised learning?   a) Machine learning subtype   b) No response variable…

A: Supervised learning is a type of machine learning that involves training an algorithm on labeled…

Q: Is it realistic to state that data structures and algorithms are no longer important in the era of…

A: Machine Learning:       Machine learning is a subset of Artificial Intelligence. Artificial…

Q: The following two studies should be considered in light of the use of an artificial intelligence…

A: Introduction: Describe two research projects that use AI neural networks. Theme: AI neural network.…

Q: Complexity of human brains: A. Helps early human to interact with the environment B. Helps early…

A: Given: Choose the correct option.

Q: Consider the following arguments: “If Ali is the author of this noise, he is stupid or devoid of…

A: Answer : The different sentences in given whole argument are : 1) If Ali is the author of this noise…

Q: ne Learning question : a) Elaborate what is the meaning of hyperparameter tuning and why it is…

A: Q1  A model hyperparameter is a configuration that is external to the model and whose value cannot…

Q: 13. Explain role of machine learning the following common un-supervised learning problems: i. Object…

A: Introduction: As the most significant unsupervised learning issue, clustering involves identifying a…

Q: v) i) ii) iv) iii) The most important ingredient in any expert system is a) Knowledge b) Natural…

A: The above question is solved in step 2 :-

Q: a) The goal of knowledge representation is to express information in a computer tractable manner,…

A: Intro Humans intelligence are best at understanding, reasoning, and interpreting knowledge. Human…

Q: a.      Explain the importance of agents in artificial intelligence concerning its types. b.…

A: GIVEN: a. Explain the importance of agents in artificial intelligence concerning its types. b.…

Q: Selection Question: Choose the only one right answer from four possible choice in to the bracket. (2…

A: The answers for the given questions are as follows.

Q: 1. Single choice ( 3 marks per question) 1. Which of the following is false( ) a. The knowledge…

A: Question 1 The correct answer is option b   The knowledge engineer works with the human expert to…

System Model Approaches

The systems model approach is a process-oriented representation that emphasizes the impact or flow of information between modules. The multidisciplinary study of the use of models to design and create systems in business and IT development is known as systems model approach. It models how processes interact and what these processes do, but it does not go into detail about how these processes are implemented. Functional decomposition may be utilized to enhance the models employed in this technique, and they can be coupled to requirements models for additional system partitioning.