ITM 740 Artificial Intelligence in Business Chapters lec 9

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Questions and Answers

What type of AI does the work of Frank Rosenblatt in 1958 contribute to?

  • Data-based Neural AI (correct)
  • Symbolic processing
  • Logic-based AI
  • Knowledge-based AI

Which type of AI focuses on logical inferences and expert systems?

  • Knowledge-based AI (correct)
  • Logic-based AI
  • Data-based Neural AI
  • Supervised Learning

In supervised learning, what do machines create based on input patterns?

  • Logical statements
  • Domain-specific knowledge base
  • Collection of output classes (correct)
  • Inference engine

What was the focus of AI research in the 1970s as acknowledged by scholars?

<p>Symbolic processing (D)</p> Signup and view all the answers

What did Friedrich Hayek's work suggest about learning in biological neural networks?

<p>Modelled as gradual change in network connections (A)</p> Signup and view all the answers

What is the key assumption made in supervised learning?

<p>Mapping input patterns into output classes (D)</p> Signup and view all the answers

What is the main focus of Intelligent Tutoring Systems (ITS) according to the passage?

<p>Generating teacher interfaces (A)</p> Signup and view all the answers

What does the Swedish company 'Lexplore' specialize in based on the passage?

<p>Detecting dyslexia difficulties (C)</p> Signup and view all the answers

What is the primary use of learning analytics and educational data mining (EDM) as mentioned in the passage?

<p>Monitoring student learning (D)</p> Signup and view all the answers

How have AI-based systems been successfully used in the fields of autism spectrum disorder and ADHD diagnosis?

<p>Using data-based pattern recognition (A)</p> Signup and view all the answers

Why was the focus switched to using AI and machine learning for generating teacher interfaces according to the passage?

<p>To develop ITS for broad learning domains (A)</p> Signup and view all the answers

What is a common limitation of supervised learning methods?

<p>They can only see the world as a repetition of the past (C)</p> Signup and view all the answers

Why are supervised learning models said to hardwire cultural beliefs?

<p>Because they are only trained on specific predefined data (B)</p> Signup and view all the answers

Which type of learning represents the developmentally simplest model of learning?

<p>Pavlovian theory of reflexes (D)</p> Signup and view all the answers

What feature makes 'transfer learning' a valuable variant of supervised learning?

<p>Capability to re-use learned features in new tasks (B)</p> Signup and view all the answers

What distinguishes supervised learning from unsupervised learning in terms of perceiving worlds?

<p>Supervised learning limits machines to predefined perceptions of the world (A)</p> Signup and view all the answers

How do large amounts of training data help in neural network training for transfer learning?

<p>They facilitate discerning important features and patterns in data (B)</p> Signup and view all the answers

What does SMD measure?

<p>Similarity in magic numbers (C)</p> Signup and view all the answers

How is SMN calculated?

<p>Extracting and comparing numeric constants (D)</p> Signup and view all the answers

What is the purpose of SCF?

<p>Counting the number of common source code lines (B)</p> Signup and view all the answers

Which feature compares the number of for and while loops?

<p>NL (B)</p> Signup and view all the answers

What does SSL focus on comparing?

<p>String literals (B)</p> Signup and view all the answers

How is SIC calculated?

<p>Comparing whitespace tokens (C)</p> Signup and view all the answers

What is the primary focus of systems like MOSS and JPlag?

<p>Scanning for identical comments or whitespace in assignments (A)</p> Signup and view all the answers

Why must neural networks be trained to recognize plagiarism cases?

<p>To distinguish between cheating and non-cheating cases (B)</p> Signup and view all the answers

What are the target output values for plagiarism cases in the neural network?

<p>Binary values showing whether plagiarism has occurred (C)</p> Signup and view all the answers

How does MOSS measure the similarity of comments?

<p>By extracting comments from submissions and measuring common lines (B)</p> Signup and view all the answers

What is the purpose of 'Similarity of Misspelled Comments (SMC)'?

<p>To check for misspelled words in comments using ASpell (B)</p> Signup and view all the answers

Which feature does 'Similarity of Comments (SOC)' focus on?

<p>Measuring common lines in extracted comments (C)</p> Signup and view all the answers

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