Roles of design knowledge in knowledge-based systems

International Journal of Human Computer Studies

Volumn 44, Issue 5, 1996, Pages 689-721

  Benaroch, Michel ^a  

^a SYRACUSE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; DECISION SUPPORT SYSTEMS; KNOWLEDGE ENGINEERING; KNOWLEDGE REPRESENTATION; PROBLEM SOLVING; SYSTEMS ANALYSIS;

DESIGN KNOWLEDGE; KNOWLEDGE REUSE;

KNOWLEDGE BASED SYSTEMS;

EID: 0030141681     PISSN: 10715819     EISSN: None     Source Type: Journal    
DOI: 10.1006/ijhc.1996.0029     Document Type: Article

References (38)

1. BENAROCH, M. (in press). Towards the notion of a knowledge repository for risk managements. IEEE Transactions on Knowledge and Data Engineering.
2. BOBROW, D. (1984). Qualitative reasoning about physical systems: an introduction. Artificial Intelligence, 24, 1-3.
3. BRACHMAN, R. J. (1979). On the epistemological status of semantic networks. In N. V. FINDLER. Ed. Associative Networks: Representation and use of Knowledge by Computers, New York: Academic Press.
4. CHANDRASEKARAN, B. (1981). Towards a functional architecture for intelligence based on generic information processing tasks. Proceedings of the Tenth International Joint Conference on Artificial Intelligence, pp. 1183-1192. Los Altos, CA: Morgan Kaufmann.
5. CHANDRASEKARAN, B. & SWARTOUT, W. (1991). Explanations in knowledge systems: the role of explicit representation of design knowledge. IEEE Expert, June 47-49.
6. CHANDRASEKARAN, B. & JONHSON, T. R. (1993). Generic tasks and task structures: history, critique and new directions. In J. M. DAVID, J. P. KRIVINE & R. SIMMONS, Eds. Second Generation Expert Systems, pp. 233-272. London: Springer-Verlag.
7. CLANCEY, W. J. (1988). Acquiring, representing and evaluating a competence model of diagnostic strategy. In M. CHI, R. GLASER & M. J. FARR, Eds. The Nature of Expertise, pp. 343-418. Hillsdale, NJ: Lawrence Erlbaum Associated.
8. CLANCEY, W. J. (1992). Model construction operators. Artificial Intelligence, 53, 1-115.
9. CONSOLE, L., PORTINALE, L., DUPRE, D. T. & TORASSO, P. (1993). Combining heuristic reasoning with causal reasoning in diagnostic problem solving. In J. M. DAVID, J. P. KRIVINE & R. SIMPSON, Eds. Second Generation Expert Systems, pp. 47-68. London: Springer-Verlag.
10. DAVID, J. M., KRIVINE, J. P. & SIMMONS, R. (1993). Second generation expert systems: a step forward in knowledge engineering. In J. M. DAVID, J. P. KRIVINE & R. SIMMONS, Eds. Second Generation Expert Systems, pp. 3-23. London: Springer-Verlag.
11. DAVID, J. M., KRIVINE, J. P. & RICARD, B. (1993). Building and maintaining a large knowledge-based system from a "Knowledge-level" perspective: the DIVA experiment. In J. M. DAVID, J. P. KRIVINE & R. SIMMONS, Eds. Second Generation Expert Systems, pp. 376-401. London: Springer-Verlag.
12. DAVIS, R. & LENAT, D. (1982). Knowledge-Based Systems in Artificial Intelligence. New York: McGraw-Hill.
13. DAVIS, R., SHORBE, H. & SZOLOVITS, P. (1993). What is a knowledge representation? AI Magazine, Spring, 17-33.
14. FALKENHAINER, B. & FORBUS, K. D. (1991). Compositional modeling: finding the right model for the job. Artificial Intelligence, 51, 95-143.
15. GUHA, R. V. & LENAT, D. B. (1994). Enabling agents to work together. Communication of the ACM, 37, 127-142.
16. GUIDA, G. & ZANELLA, M. (1993). Knowledge-based design using the multi-modeling approach. In J. M. DAVID, J. P. KRIVINE & R. SIMMONS, Eds. Second Generation Expert Systems, pp. 174-208. London: Springer-Verlag.
17. HAYES-ROTH, B., HEWETT, M., JOHNSON, M. V. & GRAVEY, A. (1988). ACCORD: a framework for a class of design tasks. Report No. 88-19, Knowledge Systems Laboratory, Stanford University, Stanford, CA.
18. HUNT, J. E. & PRICE, C. J. (1993). Integrating functional models and structural domain models for diagnostic applications. In J. M. DAVID, J. P. KRIVINE & R. SIMMONS, Eds. Second Generation Expert Systems, pp. 131-160. London: Springer-Verlag.
19. LIU, Z. & FARELY, A. (1991). Shifting ontological perspectives in reasoning about physical systems. Proceedings of AAAI-1991, pp. 395-400.
20. MARCUS, S. (1988). SALT: a knowledge acquisition tool for propose-and-revise systems. In S. MARCUS, Ed. Automating Knowledge Acquisition for Expert Systems, pp. 81-123. Boston, MA: Kluwer Academic.
21. MCDERMOTT, J. (1988). Preliminary steps toward a taxonomy of problem-solving methods. In S. Marcus, Ed. Automating Knowledge Acquisition for Expert Systems, pp. 225-256. Boston, MA: Kluwer Academic.
22. NECHES, R., FIKES, R., FININ, T., GRUBER, T., PATIL, R., SENATOR, T. & SWARTOUT, R. W. (1991). Enabling technology for knowledge sharing. AI Magazine, Fall, 37-56.
23. NEWELL, A. (1982). The knowledge level. Artificial Intelligence, 19, 87-127.
24. PATIL, R. S., SZOLOVITS, P. & SCHWARTZ, W. B. (1984). Causal understanding of patient illness in medical diagnosis. In W. J. CLANCEY & E. H. SHORTCLIFFE, Eds. Readings in Medical Artificial Intelligence. Reading, MA: Addison-Wesley.
25. POPLE, H. E. Jr (1982). Heuristic methods for imposing structure on ill-structured problems: the structuring of medical diagnosis. In P. SZOLOVITS, Ed. Artificial Intelligence in Medicine. AAAS Selected Symposium 51. Colorado: Westview Press.
26. RICH, E. (1983). Artificial Intelligence. New York, NY: McGraw-Hill.
27. SCHREIBER, G., WIELINGA, B. & DE HOOG, R. (1994). CommonKADS: a comprehensive methodology for KBS development. IEEE Expert, December, 28-36.
28. SHORTLIFFE, E. H. (1976). Computer-Based Medical Consultation: Mycin. New York, NY: Elsevier.
29. SIMMONS, R. & DAVIS, R. (1993). The roles of knowledge and representation in problem solving. In J. M. DAVID, J. P. KRIVINE & R. SIMMONS, Eds. Second Generation Expert Systems, pp. 27-45. London: Springer-Verlag.
30. STEELS, L. (1990). Components of expertise. AI Magazine, Summer, 28-49.
31. STEFIK, M. (1980). Planning with constraints. Technical Report No. STAN-CS-80-784, Computer Science Department, Stanford University, Stanford, CA.
32. SWARTOUT, W. & MOORE, J. (1993). Explanation in second generation expert systems. In J. M. DAVID, J. P. KRIVINE & R. SIMMONS, Eds. Second Generation Expert Systems, pp. 543-585. London: Springer-Verlag.
33. SWARTOUT, W. R., PARIS, C. & MOORE, J. (1991). Design for explainable expert systems. IEEE Expert, June, 58-64.
34. TANNER, M. C., KEUNEKE, A. M. & CHANDRASEKARAN, B. (1993). Explanation using task structure and domain functional models. In J. M. DAVID, J. P. KRIVINE & R. SIMMONS, Eds. Second Generation Expert Systems, pp. 586-613. London: Springer-Verlag.
35. VAN DE VELDE, W. (1993). Issues in knowledge level modeling. In J. M. DAVID, J. P. KRIVINE & R. SIMMONS, Eds. Second Generation Expert Systems, pp. 211-231. London: Springer-Verlag.
36. VANWELKENHUYSEN, J. (1995). Using DRE to augment generic conceptual design. IEEE Expert, February, 50-56.
37. WICK, M. R. (1993). Second generation expert system explanation. In J. M. DAVID, J. P. KRIVINE & R. SIMMONS, Eds., Second Generation Expert Systems, pp. 614-640. London: Springer-Verlag.
38. WIELINGA, B., VAN DE VELDE, W., SCHREIBER, G. & AKKERMANS, H. (1993). Towards a unification of knowledge modelling approaches. In J. M. DAVID, J. P. KRIVINE & R. SIMMONS, Eds., pp. 229-335. London: Springer-Verlag.