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Architectures for second generation knowledge based systems

  • Part 6: Second Generation Expert Systems and Knowledge Engineering
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Advanced Topics in Artificial Intelligence

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 617))

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Abstract

This chapter deals with the concept and examples of structured knowledge based systems. First, an evaluation of the first generation knowledge representations is summarized. Second, the role of deep knowledge is commented together with the knowledge structuring approaches based on the knowledge level specification of an agent and the task based approach for symbolic representation.

Third, several knowledge architectures are commented since SOAR, for general problem solving to the physical behavior representation architectures.

Finally, two architectures developed by the author to deal with flood management problems are presented as examples of real world knowledge based systems with complex structure.

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References

  1. Alonso M., Cuena J., Molina M.: “SIRAH: An Architecture for a Professional Intelligence”. Proc.9th European Conference on Artificial Intelligence (ECAI'90). Pitman, 1990.

    Google Scholar 

  2. Brown D.C., Chandrasekaran B.: “Design Problem Solving” Pitman. Morgan Kaufmann, 1989.

    Google Scholar 

  3. Chandrasekaran B.: “Towards a Taxonomy of Problem Solving Types” A.I. Magazine 4 (1) 9–17, 1983.

    Google Scholar 

  4. Chandrasekaran, B.: “Generic Tasks in Knowledge Based Reasoning: High Level Building Blocks for Expert Systems Design” IEEE Expert, 1986.

    Google Scholar 

  5. Chandrasekaran B.: “Towards a Functional Architecture for Intelligence Based on Generic Information Processing Tasks”. Proc IJCAI-87. 1183–1192. Morgan Kaufmann, 1987.

    Google Scholar 

  6. Cuena J.: “The Use of Simulation Models and Human Advice to Build an Expert System for the Defense and Control of River Floods”. (IJCAI-83). Karlsruhe. Kaufmann, 1983.

    Google Scholar 

  7. Cuena J., Molina M., Garrote L.: “An Architecture for Cooperation of Knowledge Bases and Quantitative Models: The CYRAH Environment”. XI International Workshop on Expert Systems. Special conference on Second Generation Expert Systems. Avignon'91. EC2, 1991.

    Google Scholar 

  8. De Kleer, J., Brown, S.: “A Qualitative Physics Based on Confluences” Artificial Intelligence 24. Elsevier Science Publishers B.V. (North Holland) 1984, 7–83.

    Google Scholar 

  9. Fikes R.E., Nilsson N.J.: “STRIPS: A New Approach to the Application of Theorem proving to Problem Solving” Artificial Intelligence 2 (3–4) 189–208, 1971.

    Google Scholar 

  10. Forbus K.D.: “Qualitative Process Theory” Artificial Intelligence 24, 85–108, 1984.

    Google Scholar 

  11. Forbus K.D.: “The Qualitative Process Engine” in “Readings in Qualitative Reasoning about Physical Systems” D.S. Weld and J. de Kleer eds. Morgan Kaufmann, 1990.

    Google Scholar 

  12. Hayes P.J.: “The Naive Physics Manifesto” Formando parte de: Michie D. (ed) “Expert Systems in the Microelectronic Age”. Edimburgh University Press, 1979.

    Google Scholar 

  13. Kuipers B.J.: “Qualitative Simulation” Artificial Intelligence 29, 289–338.

    Google Scholar 

  14. Laird J.E., Rosenbloom P., Newell A.: “SOAR: An Architecture for General Intelligence” Artificial Intelligence 33,1987.

    Google Scholar 

  15. Loveland D.W.: “Automated Theorem Proving a Logical Basis”. Elseviere North Holland, 1979.

    Google Scholar 

  16. Luckham D.: “Refinement Theorems in Resolution Theory” Symposium on Automatic Demostration. Versalles, 1968.

    Google Scholar 

  17. Newell A.: “The Knowledge Level” In Artificial Intelligence Vol 18 pp 87–127.

    Google Scholar 

  18. Newell A., Simon H.: “GPS: A Program that Simulates Human Thought”, en “Computers and Thought” Feigenbaum y Feldman (eds). Mc Graw Hill, 1963.

    Google Scholar 

  19. Robinson J.A. “A Machine Oriented Logic Based on the Resolution Principle” Journal ACM (12, 1), 1965.

    Google Scholar 

  20. Steels, L.: “The Deepening of Expert Systems” AI communications, vol 0, no.1. 1987.

    Google Scholar 

  21. Wielinga B.J., Breuker J.A., Bredeweg B.: “Knowledge Acquisition for Expert Systems” chapter in “Advanced Topics in Artificial Intelligence” R.T. Nossum ed. Springer Verlag, 1988.

    Google Scholar 

  22. Winston P.H.: “The commercial Debut of Artificial Intelligence” in “Applications of Expert Systems” Quinlan J.R. (ed) Addison Wesley, 1987.

    Google Scholar 

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Vladimír Mřrík Olga Štěpánková Rorbert Trappl

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© 1992 Springer-Verlag Berlin Heidelberg

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Cuena, J. (1992). Architectures for second generation knowledge based systems. In: Mřrík, V., Štěpánková, O., Trappl, R. (eds) Advanced Topics in Artificial Intelligence. Lecture Notes in Computer Science, vol 617. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55681-8_46

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  • DOI: https://doi.org/10.1007/3-540-55681-8_46

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55681-7

  • Online ISBN: 978-3-540-47271-1

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