Skip to main content
SpringerLink
Log in

Introducing Artificial Intelligence

  • Chapter
  • First Online:
Fundamentals of Artificial Intelligence

Abstract

The field of Artificial Intelligence (AI) has interfaces with almost every discipline of engineering, and beyond, and all those can be benefited by the use of AI. This chapter presents the introduction to AI, its roots, sub-domains, Turing test to judge if the given program is intelligent, what are the goals of AI for Engineers and Scientists, what are the basic requirements for AI, symbol system, what are the requirements for knowledge representation, and concludes with a chapter summary, and an exhaustive list of exercises. In addition raises many questions to ponder over, like, consciousness, and whether it is possible to create artificial consciousness.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 84.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    https://www.acm.org/binaries/content/assets/education/cs2013_web_final.pdf (pp. 121–129).

References

  1. Buttazzo G (2001) Artificial consciousness: utopia or real possibility? IEEE Comput 34(7):24–30

    Article  Google Scholar 

  2. Church KW, Lisa FR (1995) Commercial applications of natural language processing. Commun ACM 38(11)

    Google Scholar 

  3. Forrest S (1993) Genetic algorithms: principles of natural selection applied to computation. Science 261(13):872–878

    Article  Google Scholar 

  4. Goldberg DE (1994) Genetic and evolutionary algorithms coming of age. Commun ACM 37(3):113–119

    Article  Google Scholar 

  5. http://www.theguardian.com/technology/2014/jun/08/super-computer-simulates-13-year-old-boy-passes-turing-test. Accessed 19 Dec 2017

  6. Ludger GF (2009) Artificial intelligence - structures and strategies for complex problem solving, 5th edn. Pearson, New Delhi

    Google Scholar 

  7. Munakata T (1994) Commercial and industrial applications of AI. Commun ACM 37(03)

    Google Scholar 

  8. Newell A, Herbert AS (1976) Computer science as an empirical inquiry: symbols and search. Commun ACM 19(3):113–126

    Article  MathSciNet  Google Scholar 

  9. Russell SJ (1997) Rationality and intelligence. Artif Intell 94:57–77

    Article  Google Scholar 

  10. Russell SJ, Norvig P (2005) Artificial intelligence, a modern approach, 2nd edn. Pearson, New Delhi

    MATH  Google Scholar 

  11. Stanford Encyclopedia of Philosophy. http://plato.stanford.edu/entries/turing-test/. Accessed 19 Dec 2017

  12. Turing AM (1950) Computing machinery and intelligence. MIND - Q Rev Psychol Philos Lix(236):433

    Google Scholar 

  13. Whitehead AN, Russell B (1910) Principia mathematica, vol 1 (Part I. Mathematical logic). Merchant Books. ISBN 978-1-60386-182-3

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Jodhpur Institute of Engineering and Technology, Jodhpur, Rajasthan, India

    K. R. Chowdhary

Authors
  1. K. R. Chowdhary
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to K. R. Chowdhary .

Exercises

Exercises

  1. 1.

    Try to analyze your own learning behavior, and list the goals of learning, in the order of their difficulty level of learning.

  2. 2.

    List the living beings—human, dog, cow, camel, elephant, cat, birds, insects, in the order of their intelligence levels. Also, justify your argument.

  3. 3.

    Suggest some method to combine large number of human beings, in a group, and formulate a method/algorithm to perform the pipeline or any fast computing work.

  4. 4.

    Write an essay, describing the various anticipated theories as to how the human processes the information?

  5. 5.

    Consider a task requiring knowledge like baking a cake. Out of your imagination, suggest what are the knowledge requirements to complete this task.

  6. 6.

    Out of your reasoning, explain the distinction between knowledge and belief.

  7. 7.

    What is the basic difference between neural network level processing and processing carried out for human reasoning?

  8. 8.

    What are the major advantages of humans over modern computers?

  9. 9.

    List the examples where PSSH is not sufficient or not the basis of achieving Intelligence. Justify your claims.

  10. 10.

    Write an essay, describing how the things (objects/activities) are memorized by

    1. a.

      Plants.

    2. b.

      Birds.

    3. c.

      Sea animals.

    4. d.

      Land animals.

    5. e.

      Human.

    What can be the size of memories in each of the above cases?

  11. 11.

    Discuss the potential uses of AI in the following applications:

    1. a.

      Word processing systems.

    2. b.

      Smartphones.

    3. c.

      Web-based auction sites.

    4. d.

      Scanner machines.

    5. e.

      Facebook.

    6. f.

      Twitter.

    7. g.

      Linkedin.

    8. h.

      Amazon and Flipkart.

  12. 12.

    How the artificial neural networks (ANN) and genetic algorithms differ from each other in respect of leaning to be used for problem solution? (Note: You need to explore the AI resources to answer this question).

  13. 13.

    It is an accepted scientific base that physical characteristics of life are genetically transferred. Do you believe that information and knowledge are also genetically transferred? Justify for yes/no?

  14. 14.

    Are the beliefs of rebirth and reincarnation are also the goals of AI research? How and how not?

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature India Private Limited

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Chowdhary, K.R. (2020). Introducing Artificial Intelligence. In: Fundamentals of Artificial Intelligence. Springer, New Delhi. https://doi.org/10.1007/978-81-322-3972-7_1

Download citation

  • DOI: https://doi.org/10.1007/978-81-322-3972-7_1

  • Published:

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-3970-3

  • Online ISBN: 978-81-322-3972-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation