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.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Alonso M., Cuena J., Molina M.: “SIRAH: An Architecture for a Professional Intelligence”. Proc.9th European Conference on Artificial Intelligence (ECAI'90). Pitman, 1990.
Brown D.C., Chandrasekaran B.: “Design Problem Solving” Pitman. Morgan Kaufmann, 1989.
Chandrasekaran B.: “Towards a Taxonomy of Problem Solving Types” A.I. Magazine 4 (1) 9–17, 1983.
Chandrasekaran, B.: “Generic Tasks in Knowledge Based Reasoning: High Level Building Blocks for Expert Systems Design” IEEE Expert, 1986.
Chandrasekaran B.: “Towards a Functional Architecture for Intelligence Based on Generic Information Processing Tasks”. Proc IJCAI-87. 1183–1192. Morgan Kaufmann, 1987.
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.
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.
De Kleer, J., Brown, S.: “A Qualitative Physics Based on Confluences” Artificial Intelligence 24. Elsevier Science Publishers B.V. (North Holland) 1984, 7–83.
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.
Forbus K.D.: “Qualitative Process Theory” Artificial Intelligence 24, 85–108, 1984.
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.
Hayes P.J.: “The Naive Physics Manifesto” Formando parte de: Michie D. (ed) “Expert Systems in the Microelectronic Age”. Edimburgh University Press, 1979.
Kuipers B.J.: “Qualitative Simulation” Artificial Intelligence 29, 289–338.
Laird J.E., Rosenbloom P., Newell A.: “SOAR: An Architecture for General Intelligence” Artificial Intelligence 33,1987.
Loveland D.W.: “Automated Theorem Proving a Logical Basis”. Elseviere North Holland, 1979.
Luckham D.: “Refinement Theorems in Resolution Theory” Symposium on Automatic Demostration. Versalles, 1968.
Newell A.: “The Knowledge Level” In Artificial Intelligence Vol 18 pp 87–127.
Newell A., Simon H.: “GPS: A Program that Simulates Human Thought”, en “Computers and Thought” Feigenbaum y Feldman (eds). Mc Graw Hill, 1963.
Robinson J.A. “A Machine Oriented Logic Based on the Resolution Principle” Journal ACM (12, 1), 1965.
Steels, L.: “The Deepening of Expert Systems” AI communications, vol 0, no.1. 1987.
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.
Winston P.H.: “The commercial Debut of Artificial Intelligence” in “Applications of Expert Systems” Quinlan J.R. (ed) Addison Wesley, 1987.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1992 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/3-540-55681-8_46
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-55681-7
Online ISBN: 978-3-540-47271-1
eBook Packages: Springer Book Archive