Abstract
In order to help the knowledge engineer and the expert during knowledge acquisition phase, the ACACIA Group is working on a knowledge acquisition methodology and tool (KATEMES) allowing knowledge acquisition from multiple experts, exploiting the specificities of design problems and preparing the assistance to the end-user and the quality of explanations he will be provided with. This paper describes our research program. After a brief description of our previous knowledge acquisition tool SDKAT, we will present the primitives of KATEMES and the problems we intend to study and the ideas we intend to deepen about the link between knowledge acquisition and explanations, knowledge acquisition from multiple experts and methodological aspects.
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N. Aussenac and R. Dieng. Models of problem solving for knowledge acquisition: comparison of MACAO and 3DKAT. In SISYPHUS PROJECT, Part II, EKAW-91, Crieff, Scotland, UK, May 1991.
N. Aussenac, J.L. Soubie, and J. Frontin. A mediating representation to assist knowledge with MACAO. In Proc. of KAW-89, pages 2.1–2.17, Banff, Canada, October 1989.
M. Ayel. Protocols for Consistency Checking in Expert System Knowledge Bases. In Proc. of the 8th ECAI Conf., pages 220–225, Munich, August 1988.
D.Y. Bau and P. Brézillon. Explanation-based diagnosis with the use of a model in control systems. In Proc. of the 11th Int. Workshop on Expert Systems and their Applications, Spec. Conf.: Artificial Intelligence & Electrical Engineering, pages 33–42, May 1991.
A. Baumewerd-Ahlmann, P. Jaschek, J. Kalinski, and H. Lehmkuhl. Embedding Explanations into Model-Based Knowledge Engineering — Improved Decision Support in Environmental Impact Assessment. In D. Hérin-Aimé, R. Dieng, J.-P. Regourd, J.-P. Angoujard eds, Knowledge Modeling and Expertise Transfer, ISO Press, pages 269–284, Sophia-Antipolis, France, April 1991.
I. Benbasat and J. S. Dhaliwal. The Validation of Knowledge Acquisition: Methodology and Techniques. In Proc. of EKAW-89, pages 60–74, Paris, July 1989.
A. H. Bond and L. Gasser, editors. Readings in Distributed Artificial Intelligence. Morgan Kaufmann Publ., San Mateo, CA, 1988.
J. H. Boose. A Survey of Knowledge Acquisition Techniques. Knowledge Acquisition, 1(1):3–37, March 1989.
J. Breuker and B. Wielinga. Models of Expertise in Knowledge Acquisition. In Guida and Tasso, editors, Topics in Expert System Design. North-Holland, Elsevier Science Publishers B.V., 1989.
P. Buck, B. Clarke, and G. Lloyd. A Top-down Approach for Capturing Design Knowledge. In Proc. of EKAW-91, Crieff, Scotland, UK, May 1991.
T. Bylander and B. Chandrasekaran. Generic Tasks in Knowledge-Based Reasoning: the ‘Right’ Level of Abstraction for Knowledge Acquisition. International Journal of Man-Machine Studies, 26:231–244, 1987.
B. Chandrasekaran. Towards a Functional Architecture for Intelligence Based on Generic Information Processing Tasks. In Proc. of the 10th IJCAI, volume 2, pages 1183–1192, Milan, Italy, August 1987.
T. Y. L. Chiang and D. C. Brown. DSPL ACQUIRER — A System of the Acquisition of Routine Design Knowledge. In Sriram and Adey, editors, Proc. of the 2nd Conference on Applications of Artificial Intelligence in Engineering, pages 95–110, Cambridge, MA, USA, August 1987. Mech. Comp. Publ.
W. J. Clancey. The epistemology of a rule-based expert system — a framework for explanation. Artificial Intelligence, 20:215–251, 1983.
M. O. Cordier and C. Reynaud. Knowledge Acquisition Techniques and Second-Generation Expert Systems. In Proc. of EKAW-91, Crieff, Scotland, UK, May 1991.
R. D. Coyne. Design Reasoning Without Explanations. AI Magazine, pages 72–80, Winter 1990.
H. Davis. Using models of dynamic behavior in expert systems. In 9th Int. Workshop Expert Systems & their Applications, pages 393–404, Avignon, France, May–June 1989.
J. de Kleer and J. S. Brown. A qualitative physics based on confluences. Artificial Intelligence, 24:7–83, 1984.
Y. Demazeau and J.-P. Muller, editors. Decentralized AI, 2. North-Holland, Elsevier Science Publ., 1991.
R. Dieng. Knowledge-based, relation-based and learning-based explanations. In Proc. of the 5th Workshop on Explanations, Manchester, UK, April 1990.
R. Dieng. Relations linking Cooperating Agents. In Y. Demazeau and J.P. Muller, editors, Decentralized Artificial Intelligence, 2, Elsevier Science Publ. B.V., North-Holland, 1991
R. Dieng. Semantic network of expert systems. In Kohonen and Fogelman-Soulié, editors, COGNITIVA 90, North-Holland, Elsevier Science Publ. B.V., 1991
R. Dieng and P.A. Tourtier. A Composite System for Knowledge Acquisition and User Assistance. In Proc. of AAAI Spring Symposium on Design of Composite Systems, pages 1–5, Stanford, CA, March 1991.
R. Dieng and B. Trousse. 3DKAT, a Dependency-Driven Dynamic-Knowledge Acquisition Tool. In Proc. of the AAAI-88 Workshop on Integration of Knowledge Acquisition and Performance Systems, St-Paul, Minnesota, August 1988.
S. Easterbrook. Handling conflict between domain descriptions with computer-supported negotiation. Knowledge Acquisition, 3(3):255–289, September 1991.
S. M. Easterbrook. Distributed Knowledge Acquisition as a Model for Requirements Elicitation. In Proc. of EKAW-89, pages 530–543, Paris, July 1989.
M. Fornarino and A.M. Pinna. An original object-oriented approach for relation management. In Proc. of EPIA-89, Springer Verlag, Lecture Notes on Artificial Intelligence, n. 390, Lisbonne, Portugal, September 1989.
M. Fornarino and A.M. Pinna. Un modèle objet logique et relationnel: le langage OTHELO. PhD thesis, Université de Nice, Avril 1990.
L. Gasser and M. N. Huhns, editors. Distributed Artificial Intelligence, vol. II. Pitman / Morgan Kaufmann Publishers Inc., London, 1989.
T. Gruber. Justification-based Knowledge Acquisition. In H. Motoda, R. Mizoguchi, J. Boose, and B. Gaines, editors, Knowledge Acquisition for Knowledge-Based Systems (Proc. of JKAW-90), pages 148–158. IOS Press, 1991.
V. Jagannathan and A. S. Elmaghraby. MEDKAT: multiple expert DELPHI-based Knowledge Acquisition Tool. In Proc. of the ACM NE Regional Conference, pages 103–110, Boston, MA, October 1985.
P. James. Structuring Knowledge using Knowledge Graphs. In Proc. of EKAW-91, Crieff, Scotland, UK, May 1991.
P. W. Jamieson. HyperExplain: A New Method for Natural Language Generation. In Proc. of the AAAI'88 Workshop on Explanation, pages 59–62, Saint-Paul, Minnesota, August 1988.
H. Johnson and P. Johnson. Explanation Dialogues for Explanation and Learning (IDEAL): The Effects of Different Explanatory Dialogue Styles on Learning by Non-Experts. In Proc. of the 5th Workshop on Explanations, Manchester, UK, April 1990.
R. Kass and T. Finin. Rules for the Implicit Acquisition of Knowledge about the User. In Proc. of AAAI-87, volume 1, pages 295–391, Washington, DC, July 1987.
R. Kass and T. Finin. Acquiring User Models for Tailoring Explanations. In Proc. of the AAAI'88 Workshop on Explanation, pages 48–54, Saint-Paul, Minnesota, August 1988.
R. Kass and T. Finin. A general user modelling facility. In Proc. of the CHI'88, 1988.
A. Kassatly and D.C. Brown. Explanation for Routine Design Problem Solving. In D. Sriram and R.A.Adey, editors, Knowledge Based Expert Systems in Engineering: Planning and Design, pages 225–239, Cambridge, MA, August 1987. Mech. Comp. Publ.
C. Kellog, R. A. Gargan Jr, W. Mark, J. G. McGuire, M. Pontecorvo, J. L. Schlossbeg, and J. W. Sullivan. The Acquisition, Verification And Explanation Of Design Knowledge. SIGART Newsletter, Knowledge Acquisition Special Issue, (108):163–165, April 1989.
A. Kidd. The Consultative Role of an Expert System. In P. Johnson and S. Cook, editors, People and Computers: Designing the Interface, Proc. of the Conference of the British Comupter Society, Human Computer Interaction Specialist Group, pages 249–254, University of East Anglia, September 1985. Cambridge University Press.
O. Kuhn, M. Linster, and G. Schmidt. Clamping, COKAM, KADS and OMOS: The Construction and Operationalisation of a KADS Conceptual Model. In Proc. of EKAW-91, Crieff, Scotland, UK, May 1991.
B. J. Kuipers. Qualitative simulation. Artificial Intelligence, 29:289–338, 1986.
L. Lafferty, Jr Koller, A. M., G. Taylor, R. Schumann, and R. Evans. Techniques for capturing expert knowledge: an expert systems/hypertext approach. SPIE, Applications of Artificial Intelligence VIII, 1293:181–191, 1990.
H. Langendørfer, U. Schreiweis, and M. Hofmann. Knowledge Acquisition with a special Hypertext System. In H. Motoda, R. Mizoguchi, J. Boose, and B. Gaines, editors, Knowledge Acquisition for Knowledge-Based Systems (Proc. of JKAW-90), pages 249–258. IOS Press, 1991.
B. Lemaire and B. Safar. An architecture for representing explanatory reasoning. In D. Hérin-Aimé, R. Dieng, J.-P. Regourd, J.-P. Angoujard eds, Knowledge Modeling and Expertise Transfer, IOS Press, pages 327–332, Sophia-Antipolis, France, April 1991.
S. Line and J. Ferrans. Explanation In a CAD Environment: Surveying User Requirements. In Proc. of the 5th Workshop on Explanations, Manchester, UK, April 1990.
Y. I. Liou, E. S. Weber, and Jr J. F. Nunamaker. A methodology for knowledge acquisition in a group decision support system environment. Knowledge Acquisition, 2(2):129–144, June 1990.
M.L. Maher. Process Models for Design Synthesis. AI Magazine, pages 49–58, Winter 1990.
C. Maïs and A. Giboin. Helping users achieve satisficing goals. In M.J. Smith and G. Salvendy, editors, Work with Computers: Organizational, Management, Stress and Health Aspects, Advances in Human Factors/Ergonomics Series 12A (Proc. of the Third Int. Conf. on Human-Computer Interaction), pages 98–105, Boston, MA, September 1989. North-Holland, Elsevier Science Publishers B.V.
S. Marcus. Taking backtracking with acquisition grain of SALT. International Journal of Man-machine Studies, 26(4):383–398, 1987.
S. Marcus and J. McDermott. SALT: A knowledge acquisition language for proposeand-revise systems. Artificial Intelligence, 1988.
B. Mark. Explanation and Interactive Knowledge Acquisition. In Proc. of the AAAI'88 Workshop on Explanation, Saint-Paul, Minnesota, August 1988.
K. R. McKeown and R. A. Weida. Highlighting User Related Advice. In Proc. of the AAAI'88 Workshop on Explanation, pages 38–43, Saint-Paul, Minnesota, August 1988.
C. Millet. A study of the knowledge required for explanations in expert systems. In Proc. of the 5th Conf. on Artificial Intelligence Applications, pages 83–90, Miami, Florida, March 1989.
K. Morik. Integration Issues in Knowledge Acquisition Systems. SIGART Newsletter, Knowledge Acquisition Special Issue, (108):124–131, April 1989.
R. Neches, W. R. Swartout, and J. Moore. Enhanced Maintenance and Explanation of Expert Systems through Explicit Models of their Development. IEEE Transactions on Software Engineering, SE-11(11):1337–1351, November 1985.
R. Neches, W. R. Swartout, and J. Moore. Explainable (and maintainable) expert systems. In Proc. of the 9th IJCAI, pages 382–389, Los Angeles, CA, 1985.
B. Neveu. EXPORT: an expert system in breakwater design. In ORIA 87, Artificial Intelligence and Sea, pages 11–17, 1987.
B. Neveu and P. Haren. SMECI: an Expert System for Civil Engineering Design. In Proc. of the 1st Int. Conf. on Applications of Artificial Intelligence to Engineering Problems, Southampton, UK, April 1986.
B. Neveu, B. Trousse, and O. Corby. SMECI: an Expert System Shell that fits Engineering Design. In 3er Simposium Internacional de Inteligencia Artificial, Monterrey, N.L., Mexique, October 1990.
A. Newell. The knowledge level. Artificial Intelligence, pages 87–127, 1982.
C. L. Paris, M. R. Wick, and W. B. Thompson. The Line of Reasoning Versus the Line of Explanation. In Proc. of the AAAI'88 Workshop on Explanation, pages 4–7, Saint-Paul, Minnesota, August 1988.
M. C. Rousset. On the Consistency of Knowledge Bases: the COVADIS System. In Proc. of the 8th ECAI Conf., Munich, 1988.
G. Schreiber, B. Wielinga, and J. Breuker. The KADS Framework for Modelling Expertise. In Proc. of EKAW-91, Crieff, Scotland, UK, May 1991.
M. L. G. Shaw. Problems of Validation in a Knowledge Acquisition System using Multiple Experts. In Proc. of EKAW-88, pages 5.1–5.15, Bonn, RFA, June 1988.
M. L. G. Shaw. A Grid-Based Tool For Knowledge Acquisition: Validation with Multiple Experts. SIGART Newsletter, Knowledge Acquisition Special Issue, (108):168–169, April 1989.
M. L. G. Shaw and B. R. Gaines. A methodology for recognizing conflict, correspondence, consensus and contrast in a knowledge acquisition system. Knowledge Acquisition, 1(4):341–363, December 1989.
M. L. G. Shaw and J. B. Woodward. Validation in a knowledge support system: construing consistency with multiple experts. International Journal of Man-Machine Studies, 29:329–350, 1988.
D. B. Shema, J. M. Bradshaw, S. P. Covington, and J. H. Boose. Design knowledge capture and alternatives generation using possibility tables in Canard. Knowledge Acquisition, 2(4):279–390, December 1990.
B. G. Silverman, R. G. Wenig, and T. Wu. COPEing With Ongoing Knowledge Acquisition From Collaborating Hierarchies of Experts. SIGART Newsletter, Knowledge Acquisition Special Issue, (108):170–171, April 1989.
S. Spirgi and D. Wenger. Generic techniques in EMA: A model-based approach for Knowledge Acquisition. In Proc. of EKAW-91, Crieff, Scotland, UK, May 1991.
L. Steels. Second Generation Expert Systems. In Future Generation Computer Systems, volume 1, pages 1213–1221, 1985.
W. R. Swartout. Knowledge needed for expert system explanations. In AFIPS Conf. Proc., Nat. Computer Conf., pages 93–98, Chicago, IL, July 1985.
K. Sycara and D. Navichandra. Integrating Case-Based Reasoning and Qualitative Reasoning in Design. In Computational Mechanics, editor, AI in Design, pages 231–250, Southampton, UK, 1989.
S. Twine. A Model for the Knowledge Analysis Process. In Proc. of EKAW-89, pages 253–268, Paris, July 1989.
C. Vogel. How to Qualify Knowledge-Based Systems. In Proc. of the 4th COMPASS Conference (COMPASS-89), 1989.
W. A. Wolf. Knowledge Acquisition From Multiple Experts. SIGART Newsletter, Knowledge Acquisition Special Issue, (108):138–140, April 1989.
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Dieng, R., Giboin, A., Tourtier, PA., Corby, O. (1992). Knowledge acquisition for explainable, multi-expert, knowledge-based design systems. In: Wetter, T., Althoff, KD., Boose, J., Gaines, B.R., Linster, M., Schmalhofer, F. (eds) Current Developments in Knowledge Acquisition — EKAW '92. EKAW 1992. Lecture Notes in Computer Science, vol 599. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55546-3_47
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