Skip to main content

Advances in Intelligent Methodologies and Techniques

  • Chapter

Part of the book series: Studies in Computational Intelligence ((SCI,volume 217))

Abstract

This chapter introduces a number of intelligent methodologies and techniques stemmed from Artificial Intelligence (AI). An overview of various intelligent models arisen from expert systems, artificial neural networks, fuzzy logic, genetic algorithms, decision trees, and agent technologies is presented. Application examples of these intelligent models in various domains are also presented. Then, the contribution of each chapter included in this book is described. A summary of concluding remarks is presented at the end of the chapter.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aguilar-Ponce, R., Kumara, A., Tecpanecatl-Xihuitla, J.L., Bayoumia, M.: A network of sensor-based framework for automated visual surveillance. Jouranl of Network and Computer Applications 30, 1244–1271 (2007)

    Google Scholar 

  2. Ahn, C.W., Ramakrishna, R.S.: A genetic algorithm for shortest path routing problem and the sizing of populations. IEEE Trans. on Evolutionary Computation 6, 566–579 (2002)

    Article  Google Scholar 

  3. Alvarez, E., Cancela, M.A., Correa, J.M., Navaza, J.M., Riverol, C.: Fuzzy logic control for the isomerized hop pellets production. Journal of Food Engineering 39, 145–150 (1999)

    Article  Google Scholar 

  4. Balogh, Z., Laclavik, M., Hluchy, L.: Multi-agent system for negotiation and decision support. In: Proceedings of Fourth International Scientific Conference Electronic Computers and Informatics, pp. 264–270 (2000)

    Google Scholar 

  5. Bratman, M.E.: Intention, Plans, and Practical Reason. Harvard University Press (1987)

    Google Scholar 

  6. Breiman, L., Friedman, J., Olshen, R., Stone, C.: Classification and Regression Trees. Wadsworth and Brooks (1984)

    Google Scholar 

  7. Broomhead, D.S., Lowe, D.: Multivariate functional interpolation and adaptive networks. Complex Systems 2, 321–355 (1988)

    MATH  MathSciNet  Google Scholar 

  8. Buchanan, B.G.: A (very) brief history of artificial intelligence. AI Magezine 26, 53–60 (2005)

    Google Scholar 

  9. Campbell, A.N., Hollister, V.F., Duda, R.O., Hart, P.E.: Recognition of a hidden mineral deposit by an artificial intelligence program. Science 217, 927–929 (1982)

    Article  Google Scholar 

  10. Chalhoub, N.G., Bazzi, B.A.: Fuzzy logic control for an integrated system of a micro-manipulator with a single flexible beam. Journal of Vibration and Control 10, 755–776 (2004)

    Article  MATH  Google Scholar 

  11. Chang, S.J., Li, T.H.S.: Design and implementation of fuzzy parallel-parking control for a car-type mobile robot. Journal of Intelligent and Robotic Systems 34, 175–194 (2002)

    Article  MATH  Google Scholar 

  12. Chen, W., Wasson, B.: Intelligent Agents Supporting Distributed Collaborative Learning. In: Lin, F.O. (ed.) Designing Distributed Learning Environments with Intelligent Software Agents, pp. 33–66. Information Science Publishing (2005)

    Google Scholar 

  13. Doran, J.: Expert systems and archaeology: What lies ahead? In: Ruggles, Rahtz (eds.) Computer and Quantitative Methods in Archaeology. BAR International Series, pp. 235–241 (1988)

    Google Scholar 

  14. El Makodem, M., Courtecuisse, V., Saudemont, C., Robyns, B., Deuse, J.: Fuzzy logic supervisor-based primary frequency control experiments of a variable-speed wind generator. IEEE Trans. on Power Systems 24, 407–417 (2009)

    Article  Google Scholar 

  15. Ergün, U., Barýpçý, N., Ozan, A.T., Serhatlýoðlu, S., Oğur, E., Hardalaç, F., Güler, I.: Classificaiton of MCA stenosis in diabetes by MLP and RBF neural network. Journal of Medical Systems 28, 475–487 (2004)

    Google Scholar 

  16. Eysenck, M.W.: Artificial Intelligence. In: Eysenck, M.W. (ed.) The Blackwell Dictionary of Cognitive Psychology. Basil Blackwell, Malden (1990)

    Google Scholar 

  17. Florez-Lopez, R.: Modelling of insurers’ rating determinants: an application of machine learning techniques and statistical models. European Journal of Operational Research 183, 1488–1512 (2007)

    Article  MATH  Google Scholar 

  18. Fuat Üler, G., Mohamed, O.A., Koh, C.S.: Design optimization of electrical machines using genetic algorithms. IEEE Transactions on Magnetics 31, 2008–2011 (1995)

    Article  Google Scholar 

  19. Grieu, S., Thiery, F., Traore, A., Nguyen, T.P., Barreau, M., Polit, M.: KSOM and MLP neural networks for on-line estimating the efficiency of an activated sludge process. Chemical Engineering Journal 116, 1–11 (2006)

    Article  Google Scholar 

  20. Holland, J.H.: Adaptation in Natural and Artificial Systems. The University of Michigan Press (1975)

    Google Scholar 

  21. Jennings, N., Wooldridge, M.J.: Applications of Intelligent Agents. In: Jennings, N., Wooldridge, M.J. (eds.) Agent Technology: Foundations, Applications, and Markets, pp. 3–48. Springer, Heidelberg (1998)

    Google Scholar 

  22. Kohonen, T.: Self-Organization and Associative Memory. Springer, Heidelberg (1984)

    MATH  Google Scholar 

  23. Luger, G.F.: Artificial Intelligence: Structures and Strategies for Complex Problem Solving, 4th edn. Pearson Education Ltd., London (2002)

    Google Scholar 

  24. Lilly, J.H.: Evolution of a negative-rule fuzzy obstacle avoidance controller for an autonomous vehicle. IEEE Trans. on Fuzzy Systems 15, 718–728 (2007)

    Article  Google Scholar 

  25. Maes, P.: Agents that reduce work and information overload. Communications of the ACM 37, 31–40 (1994)

    Article  Google Scholar 

  26. Markov, Z., Larose, D.T.: Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage. Wiley-Interscience, Hoboken (2007)

    Google Scholar 

  27. McCulloch, W.S., Pitts, W.: A logical calculus of the ideas immanent in nervous activity. Bulletin of Mathematical Biophysics 5, 115–133 (1943)

    Article  MATH  MathSciNet  Google Scholar 

  28. Miller, R.A., Pople, H.E., Myers, J.D.: INTERNIST- 1: An experimental computer-based diagnostic consultant for general internal medicine. The New England Journal of Medicine 307, 468–476 (1982)

    Article  Google Scholar 

  29. Mininno, E., Cupertino, F., Naso, D.: Real-valued compact genetic algorithms for embedded microcontroller optimization. IEEE Trans. on Evolutionary Computation 12, 203–219 (2008)

    Article  Google Scholar 

  30. Minsky, M.L.: Semantic Information Processing. MIT Press, Cambridge (1968)

    MATH  Google Scholar 

  31. Nathwani, B., Clarke, K., Lincoln, T., Berard, C., Taylor, C., Ng, K., Patil, R., Pike, M., Azen, S.: Evaluation of an expert system on lymph node pathology. Human Pathology 28, 1097–1110 (1997)

    Article  Google Scholar 

  32. Nilsson, N.J.: Problem-Solving Methods in Artificial Intelligence. McGraw-Hill, New York (1971)

    Google Scholar 

  33. Ohsaki, M.: Genetic algorithm for topology optimization of trusses. Computers and Structures 57, 219–225 (1995)

    Article  MATH  MathSciNet  Google Scholar 

  34. Ovum Report, Intelligent agents: the new revolution in software (1994)

    Google Scholar 

  35. Parunak, H.V.D.: Manufacturing experience with the contract net. In: Huhns, M.N. (ed.) Distributed AI. Morgan Kaufmann, San Francisco (1987)

    Google Scholar 

  36. Pauker, S.G., Gorry, G.A., Kassirer, J.P., Schwartz, W.B.: Toward the simulation of clinical cognition: Taking a present illness by computer. The American Journal Medicine 60, 981–995 (1976)

    Article  Google Scholar 

  37. Potvin, J.Y.: Genetic algorithms for the travelling salesman problem. Annals of Operations Research 63, 337–370 (1996)

    Article  Google Scholar 

  38. Quinlan, J.R.: C4.5 Programs for Machine Learning. Morgan Kaufmann, San Francisco (1993)

    Google Scholar 

  39. Rich, E.: Artificial Intelligence. McGraw-Hill, New York (1983)

    Google Scholar 

  40. Rumelhart, D.E., Hinton, G.E., William, R.J.: Learning internal representation by error propagation. In: Rumelhart, D.E., McLelland, J.L. (eds.) Parallel Distributed Processing, I, pp. 318–362. MIT Press, Cambridge (1986)

    Google Scholar 

  41. Russell, S.J., Norvig, P.: Artificial Intelligence: A Modern Approach, 2nd edn. Prentice Hall, Englewood Cliffs (2003)

    Google Scholar 

  42. Sargent, P.: Back to school for a brand new ABC. The Guardian, p. 28 (March 12, 1992)

    Google Scholar 

  43. Sierra, C.: Agent-mediated electronic commerce. Autonomous Agents and Multi-Agent Systems 9, 285–301 (2004)

    Article  Google Scholar 

  44. Shortliffe, E.H.: Computer-based medical consultation: MYCIN. Elsevier/North Holland, Amsterdam (1976)

    Google Scholar 

  45. Tam, K.Y.: Genetic algorithsm, function optimization, and facility layout design. European Journal of Operational Research 63, 322–346 (1992)

    Article  MATH  Google Scholar 

  46. Vasko, F.J., Newhart, D.D., Strauss, A.D.: Coal blending models for optimum cokemaking and blast furnace operation. Journal of Operational Research Society 56, 235–243 (2005)

    Article  MATH  Google Scholar 

  47. Weiss, S.M., Kulikowski, C.A., Amarel, S., Safir, A.: A model-based method for computer-aided medical decision making. Artificial Intelligence 11, 145–172 (1978)

    Article  Google Scholar 

  48. Zadeh, L.A.: Fuzzy Sets. Information and Control 8, 338–353 (1965)

    Article  MATH  MathSciNet  Google Scholar 

  49. Zhang, G.P.: Neural networks for classification: a survey. IEEE Trans. on Systems, Man, and Cybernetics, Part C: Applications and Reviews 30, 451–462 (2000)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Jain, L.C., Lim, C.P. (2009). Advances in Intelligent Methodologies and Techniques. In: Teodorescu, HN., Watada, J., Jain, L.C. (eds) Intelligent Systems and Technologies. Studies in Computational Intelligence, vol 217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01885-5_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-01885-5_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01884-8

  • Online ISBN: 978-3-642-01885-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics