Artificial Intelligence Literature Quiz

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Questions and Answers

Which of the following is a focus of the AI Magazine article by Koenig, Likhachev, Liu, and Furcy?

  • Robot Hand Technology
  • Incremental heuristic search (correct)
  • Speech Recognition
  • Decision Support Systems

Nils Nilsson is associated with the book 'Principles of Artificial Intelligence'.

False (B)

What is the primary focus of Judea Pearl's work mentioned in the content?

Heuristics and intelligent search strategies for computer problem solving

David Poole and his co-authors wrote 'Computational Intelligence: A _______ Approach'.

<p>Logical</p> Signup and view all the answers

Match the authors with their associated works:

<p>Bruce Lowerre = The Harpy Speech Recognition System Ronald Fagin = Reasoning About Knowledge Judea Pearl = Heuristics: Intelligent Search Strategies Michael Wooldridge = An Introduction to Multiagent Systems</p> Signup and view all the answers

Who authored the work 'AI: The Tumultuous Search for Artificial Intelligence'?

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

The work 'Foundations of Statistical Natural Language Processing' was published by Cambridge University Press.

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

What topic does the article by D.L. Dowe and A.R. Hajek discuss?

<p>A Computational Extension to the Turing Test</p> Signup and view all the answers

The authors Jeen Broekstra, Michel Klein, and others worked on enabling knowledge representation on the Web by extending __________.

<p>RDF Schema</p> Signup and view all the answers

Match the authors with their respective works:

<p>Manning, C. D. &amp; Schütze, H. = Foundations of Statistical Natural Language Processing Dove, D. L. &amp; Hajek, A. R. = A Computational Extension to the Turing Test Crevier, D. = AI: The Tumultuous Search for Artificial Intelligence Sowa, J. F. = Knowledge Representation: Logical, Philosophical, and Computational Foundations</p> Signup and view all the answers

Flashcards

Turing Test

A test designed to determine if a machine can exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human.

Conceptual Graphs

A knowledge representation approach that uses graphs to represent concepts and relationships between them.

Knowledge Representation

A mathematical framework for representing and reasoning about knowledge, using symbols and logical operators.

Multiagent Learning

A form of machine learning where multiple agents interact and learn from each other's experiences.

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Machine Learning

The ability of a computer system to learn from data and improve its performance over time.

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Heuristics in AI

A logical approach to problem solving in artificial intelligence that uses heuristics, which are rules of thumb or strategies, to guide the search for solutions. Heuristics often provide a good enough solution, although they may not guarantee optimal solutions.

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Frame-based Knowledge Representation

A type of knowledge representation that uses frames, which are data structures that represent concepts or objects with a set of attributes and values. Frames are used to capture the relationships between different concepts and their properties.

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Reasoning About Knowledge

A system of logic designed for reasoning about knowledge, particularly dealing with knowledge about other agents' knowledge and beliefs. It's used in AI to model how agents can reason about what others know and believe.

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Rule-based Knowledge Representation

A system for representing knowledge that uses a set of logical rules to define relationships between different concepts and objects. It's used in artificial intelligence for making decisions and drawing inferences.

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Information Extraction

A process of analyzing and understanding information from different sources, such as text, audio, video, or images. It's used in AI to extract meaningful insights from large and complex datasets.

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Study Notes

Course Information

  • Course Code: CIT478
  • Course Title: Artificial Intelligence
  • Faculty of Science, Department of Computer Science, National Open University of Nigeria

Course Guide Details

  • Course team: Dr. J.N. Ndunagu (Developer/Writer) - NOUN, Dr. J.N. Ndunagu (Coordinator) - NOUN
  • Published by: National Open University of Nigeria
  • First printed: 2012
  • Reviewed and Reprinted: 2021
  • ISBN: 978-058-826-4
  • Headquarters: 14/16 Ahmadu Bello Way, Victoria Island, Lagos
  • Abuja Office: No. 5 Dar es Salaam Street, Off Aminu Kano Crescent, Wuse II, Abuja, Nigeria
  • e-mail: [email protected]
  • URL: www.nou.edu.ng

Course Contents

  • Introduction
  • What You Will Learn in This Course
  • Course Aim
  • Course Objectives
  • Working through This Course
  • Course Materials (Course Guide, Study Units, Further Reading/References, Assignments, Presentation Schedule)
  • Study Units (11 units, 4 modules)
  • Textbooks and References (List of recommended textbooks)
  • Tutor Marked Assignments (TMAs)
  • Final Examination and Grading
  • Course Marking Scheme
  • How to Get the Most from This Course
  • Facilitators/Tutors and Tutorials (schedule and contact information)
  • Assessment details (details of tutor marked assignments (TMAs), and final examination)

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CIT 478 Artificial Intelligence Course Guide PDF

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