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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