Computational Intelligence CCS619 Introduction Quiz
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Questions and Answers

Which computational intelligence paradigm models the properties of imprecision, approximation, or vagueness?

  • Fuzzy logic (correct)
  • Evolutionary computation
  • Genetic algorithms
  • Artificial neural network

What does evolutionary computation comprise, based on mechanisms of evolution such as natural selection and biological genetics?

  • Fuzzy logic
  • Fuzzy sets
  • Fuzziness
  • Genetic programming (correct)

Which analysis paradigm is very roughly modeled after the massively parallel structure of the brain?

  • Computational intelligence
  • Evolutionary computation
  • Fuzziness
  • Artificial neural network (correct)

What is the capability of a system to adapt its behavior to meet its goals in a range of environments?

<p>Computational intelligence (D)</p> Signup and view all the answers

What does computational intelligence involve that gives the system an ability to learn and/or to deal with new situations?

<p>Fuzzy systems (C)</p> Signup and view all the answers

Which of the following is not a part of the lecture outline?

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

What is the weightage of the midterm exam in the assessment?

<p>10% (C)</p> Signup and view all the answers

According to Webster's New Collegiate Dictionary, how is intelligence defined?

<p>All of the above (D)</p> Signup and view all the answers

What percentage of the assessment is allocated to presentations?

<p>40% (D)</p> Signup and view all the answers

Who is the author of the textbook 'Computational Intelligence: Concepts to Implementations'?

<p>R. Eberhart and Y. Shi (D)</p> Signup and view all the answers

What are the key components of computational intelligence systems?

<p>Artificial neural networks, fuzzy systems, evolutionary computation systems, and knowledge elements</p> Signup and view all the answers

Define fuzzy logic and its purpose.

<p>Fuzzy logic is the logic of approximate reasoning, and it generalizes conventional two-valued, crisp logic.</p> Signup and view all the answers

How is evolutionary computation roughly based on mechanisms of evolution?

<p>Evolutionary computation comprises optimization and classification paradigms based on mechanisms such as natural selection and biological genetics.</p> Signup and view all the answers

What is the main objective of computational intelligence methodology?

<p>The main objective is to exhibit an ability to learn and/or to deal with new situations, such that the system is perceived to possess attributes of reason, such as generalization, discovery, association, and abstraction.</p> Signup and view all the answers

What does the analysis paradigm of artificial neural networks simulate?

<p>It simulates a highly interconnected, parallel computational structure with numerous relatively simple individual processing elements (PEs).</p> Signup and view all the answers

What are the main assessment components and their respective weightages in the course?

<p>Assignments: 20%, Midterm Exam: 10%, Presentation: 30%, Final Exam: 40%</p> Signup and view all the answers

Who are the authors of the textbook 'Computational Intelligence: Concepts to Implementations'?

<p>R. Eberhart and Y. Shi</p> Signup and view all the answers

What is the definition of intelligence according to Webster's New Collegiate Dictionary?

<p>The ability to learn or understand or to deal with new or trying situations; also, the skilled use of reason</p> Signup and view all the answers

Name two paradigms covered in the lecture outline of the course.

<p>Evolutionary Computation and Artificial Neural Networks</p> Signup and view all the answers

What are the main topics covered under the course content of 'Computational Intelligence'?

<p>Overview, Concepts, Paradigms, Application Areas and Techniques</p> Signup and view all the answers

Flashcards

Computational Intelligence

The capability of a system to adapt its behavior to meet its goals in a range of environments.

Fuzzy Logic

The logic of approximate reasoning, generalizing conventional two-valued logic.

Evolutionary Computation

Optimization and classification paradigms based on mechanisms like natural selection and biological genetics.

Artificial Neural Networks

Simulates a highly interconnected, parallel computational structure with simple processing elements.

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Objective of Computational Intelligence

To exhibit an ability to learn and/or deal with new situations, demonstrating attributes of reason like generalization, discovery, association, and abstraction.

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Key Components of Computational Intelligence Systems

Fuzzy systems, evolutionary computation systems, knowledge elements, and artificial neural networks.

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Webster's definition of Intelligence

The ability to learn or understand or to deal with new or trying situations. It also refers to the skilled use of reason.

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Fuzzy Logic paradigm

A paradigm of computational intelligence that involves the modeling of properties of imprecision, approximation, or vagueness.

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Artificial Neural Network paradigm

A paradigm of computational intelligence that is very roughly modeled after the massively parallel structure of the brain.

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Evolutionary Computation paradigm

A paradigm of computational intelligence that models the properties of evolution, such as natural selection and biological genetics.

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