Artificial intelligence quiz ai and fuzzy logic priti sajja
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Priti Srinivas Sajja is an Associate Professor working with Post Graduate Department of Computer Science, Sardar Patel University, India since 1994. She specializes in Artificial Intelligence ...

Priti Srinivas Sajja is an Associate Professor working with Post Graduate Department of Computer Science, Sardar Patel University, India since 1994. She specializes in Artificial Intelligence especially in knowledge-based systems, soft computing and multiagent systems. She is co-author of Knowledge-Based Systems (2009) and Intelligent Technologies for Web Applications (2012). She is Principal Investigator of a major research project funded by UGC, India.

She has 113 publications in books, book chapters, journals, and in the proceedings of national and international conferences. Her four publications have won best research paper awards. for more detail, please visir pritisajja.info.

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Artificial intelligence quiz ai and fuzzy logic priti sajja Presentation Transcript

  • 1. Click on numbers to get an answer. 1 Visit pritisajja.info for other Answer slide shows. 2Pop Quiz: Artificial Intelligence 3 4 5 Questions 6 1) ______ is simulation of human though process. 2) ________ is used to test AI based system. 3) Fact, rules and heuristics are components of _______. 7 4) Full form of ES is an _______. 5) ES is a type of ______. 8 6) AI system can make mistakes. True/False:? ________. 7) AI uses non – algorithmic approach. True/False:? ________. 9 8) Fuzzy logic is _______ logic. 9) Fuzzy _________ operation is implemented with minimum operator. 10) WFF full form is ______. 10
  • 2. Introductory Questions: Give Full form of AI. Give at least two definition of AI. Explain one in detail with example. Discuss characteristics of AI systems? Where it can be placed in a data pyramid? What is knowledge? Is it Intelligence? Give one example of data, information and knowledge in an application of your choice. Distinguish (i) natural and artificial intelligence (ii) man and machine.
  • 3. Knowledge Based System Questions: What is Knowledge Based System? Give general structure of a KBS. List five categories of KBS with one line description. Define ES. Give example of two early expert systems. Also give general structure of ES. What is ES shell? What does it contains in its knowledge base? What is the process of knowledge acquisition? What is the role of KE? How he should behave? Give the process diagram of the knowledge acquisition. How knowledge can be updated? What is machine learning? Who will users of ES? What is the knowledge representation encompasses? What are the components of knowledge? Which one of them plays an important role in problem solving? Define constants, variables, function and predicate in formal representation of knowledge. Distinguish functions and predicates. Name one programming language, which supports this approach.
  • 4. Fuzzy Logic questions: Define fuzzy logic. How does it differ from the crisp logic? Define membership function. Develop a membership function for a strict teacher. How “AND” and “OR” operations are defined on fuzzy sets? What are the operations on the fuzzy set? (AND, OR and NOT ). How are they defined? List three application of fuzzy logic in (medical science). What are the advantages of using fuzzy logic for control system? Give structure (diagram) of a typical fuzzy control based system. What are the basic limitations of the fuzzy systems? What is the notion of linguistic variable? Explain with example. Four jobs are vacant namely a,b,c, and d, where f(a)=30,000; f(b)=25,000; f(c)=20,000; f(d)=15,000 with the constraints as given below. (1) job should be interesting (c1=0.4/a +0.6/b +0.8/c + 0.6/d) and (2) close to residence of the candidate (c2=0.1/a +0.9/b +0.7/c + 1/d). Define and calculate the fuzzy decision D.
  • 5. Acknowledgement • Prsentermedia.com • Articulate.com • Sajja Priti Srinivas and Akerkar RA: “Knowledge- based systems”, Jones & Bartlett Publishers, Sudbury, MA, USA (2009)