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Technologies

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Book cover Intelligent Multimedia Multi-Agent Systems

Part of the book series: The Springer International Series in Engineering and Computer Science ((SECS,volume 582))

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Abstract

The applications in this book employ a number of technologies. These technologies can be grouped under intelligent systems, software engineering, agents, multimedia and the internet/electronic commerce. This chapter introduces the reader to these technologies. The various technologies covered in this chapter are:

  • Expert Systems

  • Case based Reasoning

  • Artificial Neural Networks

  • Fuzzy Systems

  • Genetic Algorithms

  • Intelligent Fusion, Transformation and Combination

  • Object-Oriented Technology

  • Agents and Agent Architectures

  • Multimedia

  • XML — the new internet standard

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References

  • Adler S. (1998), “Initial Proposal for XSL”, available from: http://www.w3.org/TR/NOTEXSL.html

  • Aitkins, J. (1983), “Prototypical Knowledge for Expert Systems,” Artificial Intelligence, vol. 20, pp. 163–210.

    Article  Google Scholar 

  • Balzer, R., Erman, L. D., London, P. E. and Williams, C. (1980), “Hearsay-III:A Domain-Independent Framework for Expert Systems,” in First National Conference on Artificial Intelligence (AAAI), pp. 108–110

    Google Scholar 

  • Berry, J. T. (1988), C++ Programming, Howard W. Sams and company, Indianapolis, Indiana, USA.

    Google Scholar 

  • Blair B. and Boyer J. (1999), “XFDL: Creating Electronic Commerce Transaction Records Using XML”, Proceedings of the WWW8 Intl. Conference, Toronto, Canada, pp. 533–544

    Google Scholar 

  • Bray T. et al. (ed.) (1998), “Extensible Markup Language (XML) 1.0”, available at http://www.w3.org/TR/1998/REC-xml-19980210

  • Encyclopedia Britanica, (1986), Articles on “Behaviour, Animal,” “Classification Theory,” and “Mood,” Encyclopedia Britanica, Inc.

    Google Scholar 

  • Chandrasekaran, B. (1990), What Kind of Information Processing is Intelligence, The

    Google Scholar 

  • Foundations of AI: A Sourcebook, Cambridge, UK: Cambridge University Press, pp. 14–46.

    Google Scholar 

  • Coad, P. and Yourdon, E. (1990), Object-Oriented Analysis, Prentice Hall, Englewood Cliffs, NJ, USA.

    Google Scholar 

  • Coad, P. and Yourdon, E. (1991), Object-Oriented Analysis and Design, Prentice Hall, Englewood Cliffs, NJ, USA.

    Google Scholar 

  • Coad, P. and Yourdon, E. (1992), Object-Oriented Design, Prentice Hall, Englewood Cliffs, NJ, USA.

    Google Scholar 

  • Cox, B. J. (1986), Object-Oriented Programming,Addison-Wesley.

    Google Scholar 

  • Dillon, T. and Tan, P. L. (1993), Object-Oriented Conceptual Modeling, Prentice Hall, Sydney, Australia.

    Google Scholar 

  • Erman, L. D., Hayes-Roth, F., Lesser, V. R. and Reddy, D. R. (1980), “The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty, “ ACM Computing Surveys,vol. 12, no. 2, June, pp. 213–53.

    Google Scholar 

  • Erman, L. D., London, P. E. and Fickas, S. F. (1981), “The Design and an Example Use of Hearsay-III,” in Seventh International Joint Conference on Artificial Intelligence, pp. 409–15.

    Google Scholar 

  • Finin T., Fritzson R., MacKay D. and MacEntire R. (1994), “KQML as an Agent Communication Language, Proceedings of the Third International Conference on Information and Knowledge Management,pp.112–124

    Google Scholar 

  • Greffenstette, J.J. (1990) “Genetic Algorithms and their Applications” Encyclopedia of Computer Science and Technology, vol. 21, eds. A. Kent and J. G. William, AIC-90–006, Navla Research laboratory, Washington DC, pp. 139–52.

    Google Scholar 

  • Goldberg, D.E. (1989), Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading, MA, pp. 217–307.

    MATH  Google Scholar 

  • Hamscher, W. (1990), “XDE: Diagnosing Devices with Hierarchic Structure and Known Failure Modes,” Sixth Conference of Artificial Intelligence Applications, California, pp. 48–54.

    Chapter  Google Scholar 

  • Hawryszkiewyz, I. T. (1991), Introduction to System Analysis and Design, Prentice Hall, Sydney, Australia.

    Google Scholar 

  • Hayes-Roth, F., Waterman, D. A. and Lenat, D. B. (1983), Building Expert Systems, Addison-Wesley.

    Google Scholar 

  • Haykin, 1994 Neural Networks: A comprehensive foundation. IEEE Press, New York.

    MATH  Google Scholar 

  • Hebb, D. (1949), The Organisation of Behaviour, Wiley, New York.

    Google Scholar 

  • Holland, J. (1975), Adaptation in Neural and Artificial Systems, University of Michigan Press, Ann Arbor, Michigan, USA.

    Google Scholar 

  • Inmon, W.H., and Kelley, C., (1993), RdbNMS, Developing the Data Warehouse, QED, Publication Group, Boston, USA.

    Google Scholar 

  • Kim, Ballou, Chou, Garza and Woelk (1988), “Integrating an Object-Oriented Programming System with a Database System,” ACM OOPSLA Proceedings, October.

    Google Scholar 

  • Kohonen, T. (1990), Self Organisation and Associative Memory, Springer-Verlag.

    Google Scholar 

  • Kolodner, J. L. (1984), “Towards an Understanding of the Role of Experience in the Evolution from Novice to Expert,” Developments in Expert Systems, London: Academic Press.

    Google Scholar 

  • Kraft, A. (1984), “XCON: An Expert Configuration System at Digital Equipment Corporation,” The Al Business: Commercial Uses of Artificial Intelligence, Cambridge, MA: MIT Press.

    Google Scholar 

  • McClelland, J. L., Rumelhart, D. E. and Hinton, G.E. (1986), “The Appeal of Parallel Distributed Processing,” Parallel Distributed Processing, vol. 1, Cambridge, MA: The MIT Press, pp. 3–40

    Google Scholar 

  • Minsky, M. and Papert, S. (1969), Perceptrons,MIT press.

    Google Scholar 

  • Minsky, M. (1981) “A Framework for representing Knowledge,” Mind Design, Cambridge, MA: the MIT Press, pp. 95–128.

    Google Scholar 

  • Myer, B. (1988), Object-Oriented Software Construction, Prentice Hall.

    Google Scholar 

  • Neibur, D. and Germond, A. J. (1992) “Power System Static Security Assessment Using The Kohonen Neural Network Classifier,” IEEE Transactions on Power Systems, May, vol. 7, no. 2, pp. 865–72.

    Google Scholar 

  • Newell, A. (1977), “On Analysis of Human Problem solving,” Thinking: Readings in Cognitive Science, Cambridge UK: Cambridge University Press.

    Google Scholar 

  • Ng, H.T., 1991, “Model-Based, Multiple-Fault Diagnosis of Dynamic, Continuous Physical Devices,” IEEE Expert, pp. 38–43.

    Google Scholar 

  • Pardi W. J. (1999), XML In Action, Microsoft Press

    Google Scholar 

  • Pressman, R. S. (1992), Software Engineering: A Practioner’s Approach, McGraw Hill International, Singapore.

    Google Scholar 

  • Quillian, M. R. (1968), “Semantic Memory,” Semantic Information Processing, Cambridge, MA: The MIT Press, pp. 227–270.

    Google Scholar 

  • Rumbaugh, J. et al. (1990), Object-Oriented Modeling and Design, PrenticeHall, Englewood Cliffs, NJ, USA.

    Google Scholar 

  • Rumelhart, D. E., Hinton, G. E. and Williams, R. J. (1986), “Learning Internal Representations by Error Propagation,” Parallel Distributed Processing, vol. 1, Cambridge, MA: The MIT Press, pp. 318–362.

    Google Scholar 

  • Russell, S., and Norvig, P. (1995), Artificial Intelligence–A Modern Approach, Prentice Hall, New Jersey, USA, pp. 788–790.

    MATH  Google Scholar 

  • Schank, R. C. (1972), “Conceptual Dependency,” Cognitive Psychology, vol. 3,pp. 552–631.

    Article  Google Scholar 

  • Schank, R. C. and Abelson, R. P. (1977), Scripts, Plans, Goals and Understanding, Hillsdale, NJ: Lawerence Erlbaum. 42

    MATH  Google Scholar 

  • Sejnowski, T.J., and Rosenberg, C.R. (1987), “Parallel Networks that Learn to Pronounce English Text,” Complex Systems, pp, 145–168.

    Google Scholar 

  • Shortliffe, E.H. (1976), Computer-based Medical Consultation: MYCIN, New York: American Elsevier.

    Google Scholar 

  • Smolensky, P. (1990), “connectionism and Foundations of AI”, The Foundations of AI: A Sourcebook, Cambridge, UK: Cambridge University.

    Google Scholar 

  • Steels, L. (1989), “Artificial Intelligence and Complex Dynamics,” Concepts and Characteristics of Knowledge Based Systems, Eds., M. Tokoro, et al., North Holland, pp. 369–404.

    Google Scholar 

  • Unland, R, and Schlageter, G. (1989), “An Object-Oriented Programming Environment for Advanced Database Applications,” Journal of Object-Oriented Programming, May/June.

    Google Scholar 

  • Wang, X. and Dillon, T. S. (1992), “A Second Generation Expert System for Fault Diagnosis,” in Journal of Electrical Power and Energy Systems, April/June, 14 (2/3), pp. 212–16.

    Google Scholar 

  • Widrow, B., and Hoff, M.E. (1960), “Adaptive Switching Circuits,” IRE WESCON Convention Record, Part 4, pp. 96–104.

    Google Scholar 

  • World Wide Web Consortium (1998), “Extensible Markup Language (XML) 1.0” (W3C Recommendation ) http://www.w3.org/TR/1998/REC-xml-19980210

  • World Wide Web Consortium (1999), “Namespaces in XML” (W3C Recommendation ) http://www.w3.org/TFt/1999/REC-xml-names-19990114/

  • Zadeh, L.A. (1965), “Fuzzy sets,” Information and Control, vol. 8, pp. 338–353.

    Article  MathSciNet  MATH  Google Scholar 

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Authors
  1. Rajiv Khosla
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  2. Ishwar K. Sethi
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  3. Ernesto Damiani
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© 2000 Springer Science+Business Media New York

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Khosla, R., Sethi, I.K., Damiani, E. (2000). Technologies. In: Intelligent Multimedia Multi-Agent Systems. The Springer International Series in Engineering and Computer Science, vol 582. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3196-5_2

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  • DOI: https://doi.org/10.1007/978-1-4757-3196-5_2

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-5008-6

  • Online ISBN: 978-1-4757-3196-5

  • eBook Packages: Springer Book Archive

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