Artificial Intelligence : A Path to Innovation

Authors

  • Rajneesh Kumar  Assistant Librarian, Central Library, IET,Bhaddal ,Ropar,Punjab, India

Keywords:

Artificial intelligence, Areas of artificial intelligence, Robotics, Expert system, Automatic programming.

Abstract

In the future, intelligent machines will replace or enhance human capabilities in many areas. Artificial intelligence is the intelligence exhibited by machines or software. It is the subfield of computer science. Artificial Intelligence is becoming very popular in every field. The purpose of this article is to provide relevant information on the utilisation of artificial intelligent technology and various concepts such as expert system, natural language processing, pattern recognition and robotics and their need, application as well as advantages.

References

  1. Agre, P.E. (1995). Computational research on interaction and agency. Artificial Intelligence, 72: 1-52.
  2. Anderson, M. and Leigh Anderson, S.L. (2007). Machine ethics: Creating an ethical intelligent agent. AI Magazine, 28(4): 15-26
  3. Bacchus, F. and Grove, A. (1995). Graphical models for preference and utility. In Uncertainty in Artificial Intelligence (UAI-95), pp. 3-10.
  4. Bowling, M. and Veloso, M. (2002). Multiagent learning using a variable learning rate. Artificial Intelligence, 136(2): 215-250.
  5. Campbell, M., Hoane Jr., A.J., and Hse, F.h. (2002). Deep blue. Artificial Intelligence, 134(1-2): 57-83.http://www.sciencedirect.com/science/article/B6TYF-43PHC49-2/1/325879d3cbf078187ea49a232e421ea9.
  6. Freuder, E.C. and Mackworth, A.K. (2006). Constraint satisfaction: An emerging paradigm. In P.V.B. F. Rossi and T. Walsh (Eds.), Handbook of Constraint Programming, pp. 13-28. Elsevier.
  7. Haugeland, J. (Ed.) (1997). Mind Design II: Philosohpy, Psycholgy, Artificial Intelligence. MIT Press, Cambridge, MA, revised and enlarged edition.
  8. Jurafsky, D. and Martin, J.H. (2008). Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Prentice Hall, second edition.
  9. Kirsh, D. (1991a). Foundations of AI: the big issues. Artificial Intelligence, 47: 3-30.
  10. Nilsson, N.J. (1971). Problem-Solving Methods in Artificial Intelligence. McGraw-Hill, New York.
  11. Pollack, M.E. (2005). Intelligent technology for an aging population: The use of ai to assist elders with cognitive impairment. AI Magazine, 26(2): 9-24.
  12. Russell, S. and Norvig, P. (2010). Artificial Intelligence: A Modern Approach. Series in Artificial Intelligence. Prentice-Hall, Englewood Cliffs, NJ, third edition. http://aima.cs.berkeley.edu/.
  13. Weiss, G. (Ed.) (1999). Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. MIT Press, Cambridge, MA.

Downloads

Published

2017-02-28

Issue

Section

Research Articles

How to Cite

[1]
Rajneesh Kumar, " Artificial Intelligence : A Path to Innovation , International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 1, pp.700-705, January-February-2017.