A quantitative analysis of the robustness of knowledge-based systems through degradation studies

Knowledge and Information Systems

Volumn 7, Issue 2, 2005, Pages 224-245

  Groot, Perry ^a   ten Teije, Annette ^a   van Harmelen, Frank ^a  

^a VU UNIVERSITY AMSTERDAM   (Netherlands)

Author keywords

Knowledge based systems; Quantitative analysis; Robust behaviour; Validation

Indexed keywords

CHEMICAL ANALYSIS; INFORMATION SYSTEMS;

CALL DEGRADATION; DEGRADATION STUDY; DEGRADING SYSTEM; QUALITY MEASURES; ROBUST BEHAVIOUR; SYSTEM OUTPUT; VALIDATION; VEGETATION CLASSIFICATION;

KNOWLEDGE BASED SYSTEMS;

EID: 13644268186     PISSN: 02191377     EISSN: 02193116     Source Type: Journal    
DOI: 10.1007/s10115-003-0140-7     Document Type: Article

References (15)

1. Cohen PR (1995) Empirical methods for artificial intelligence. MIT Press, Cambridge, MA
2. Dean T, Boddy M (1988) An analysis of time-dependent planning. In Proceedings of the 7th national conference on artificial intelligence. Kaufmann, Saint Paul, MN, August 1988, pp 49-54
3. Hayes-Roth F (1984) Knowledge-based expert systems - The state of the art in the US. In Fox J (ed) Expert systems: State of the art report. Pergamon, Oxford, UK
4. IEEE (1990) IEEE standard glossary of software engineering terminology IEEE standard 610.12-1990, ISBN 1-55937-067-X
5. Menzies T, van Harmelen F (1999) Evaluating knowledge-engineering techniques. Int J Hum Comput Stud 51(4):715-727
6. Preece AD, Talbot S, Vignollet L (1997) Evaluation of verification tools for knowledge-based systems. Int J Hum Comput Stud 47(5):629-658
7. Puppe F, Poeck K, Gappa U, et al (1994) Wiederverwendbare bausteine für eine konfigurierbare Diagnostik-shell. Künstliche Intelligenz 94(2):13-18
8. Puppe F, Gappa U, Poeck K, et al (1996) Wissenbasierte Diagnose- und Informationssysteme: Mit Anwendungen des Expertensystem-Shell-Baukastens D3. Springer, Berlin Heidelberg New York
9. Salton G, McGill MJ (1983) Introduction to modern information retrieval. McGraw-Hill, New York
10. Schumann J, Fischer B (1997) NORA/HAMMR: Making deduction-based software component retrieval practical. In: Proceedings of the 12th international conference on automated software engineering, IEEE Press, Lake Tahoe, CA, November 1997, pp 246-254
11. Shadbolt NR, O'Hara K, Crow L (1999) The experimental evaluation of knowledge acquisition techniques and methods: History, problems and new directions. Int J Hum Comput Stud 51(4):729-755
12. ten Teije A, van Harmelen F (1996) Computing approximate diagnoses by using approximate entailment. In Aiello G, Doyle J (eds). Proceedings of the 5th international conference on principles of knowledge representation and reasoning. Kaufmann, Cambridge, MA, November 1996, pp 256-265
13. ten Teije A, van Harmelen F (1997) Exploiting domain knowledge for approximate diagnosis (1997) In: Pollack ME (ed) Proceedings of the 15th international joint conference on artificial intelligence. Kaufmann, Nogoya, Japan, August 1997, pp 454-459
14. van Harmelen F, ten Teije A (1998) Characterising approximate problem-solving by partial pre- and postconditions. In: Prade H (ed) Proceedings of the 13th European conference on artificial intelligence. Wiley, Brighton, UK, August 1998, pp 78-82
15. Zilberstein S (1996) Using anytime algorithms in intelligent systems. Artif Intell Mag 17(3):73-83