- Book: Clancey, W. J. (2020) Designing Agents for People: Case Studies of the Brahms Work Practice Simulation Framework. Kindle Print Replica e-Book (446 pages).
- Excerpt at ResearchGate (36 pages) includes Table of Contents, lists of Figures and Tables, Preface, Reader's Guide with figures and tables sorted by topic, and tutorial-style Index.
- Print Replica books are viewable on tablets and using the app "Kindle for Mac" (or for iPhone, PC, and Android).
- Internal hyperlinks for pages and figures/tables function on Kindle Fire tablets and on computers, using Kindle for Mac or PC.
- Seminal Publication: Clancey, W. J., Sachs, P., Sierhuis, M., & van Hoof, R. (1998) Brahms: Simulating practice for work systems design. Int. J. Human-Computer Studies, 49, 831-865.
- Best Application: Clancey, W. J., Linde, C., Seah, C., Shafto, M. (2013) Work Practice Simulation of Complex Human-Automation Systems in Safety Critical Situations: The Brahms Generalized Überlingen Model. NASA Technical Publication 2013-216508, Washington, D.C.
- Patent: Clancey, W. J., Torok, D.M., Sierhuis, M., van Hoof, R., & Sachs, P. (2001) Simulating Work Behavior, US Patent 6,216,098, Institute for Research on Learning and Bell Atlantic Network Services, Inc.
- Sierhuis, M., Clancey, W. J., and van Hoof, R. (2009) Brahms An Agent-Oriented Language for Work Practice Simulation and Multi-Agent Systems Development. In El Fallah Seghrouchni A., Dix J., Dastani M., Bordini R. (Eds.), Multi-Agent Programming. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-89299-3_3
- Sierhuis, M., Clancey, W. J., and van Hoof, R. (2007) Brahms: A multiagent modeling environment for simulating work practice in organizations. International Journal for Simulation and Process Modeling, 3 (3), 134-152.
- Sierhuis, M., Diegelman, T. E., Seah, C., Shalin, V., Clancey, W. J., Selvin, A. M. (2007) Agent-based Simulation of Shuttle Mission Operations. Agent-Directed Simulation, 2007 Spring Simulation Multiconference (SpringSim 2007) (pp. 53-60). Norfolk, VA, March.
- Sierhuis, M., Clancey, W. J., Seah, C., Acquisti, A., Bushnell, D., Damer, B., Dorighi, N., Edwards, L., Faithorn, L., Flueckiger, L., Hoof, R. v., Lees, D., Nandkumar, A., Neukom, C., Scott, M., Sims, M., Wales, R., Wang, S.-Y., Wood, J., and Zhang, B. (2006) Agent-based Mission Modeling and Simulation. Agent-Directed Simulation, 2006 Spring Simulation Multiconference (SpringSim 2006), Huntsville, AL.
- Clancey, W. J. (2005) Towards on-line services based on a holistic analysis of human activities In P. Ritrovato, C. Allison, S.A. Cerri, T. Dimitrakos, M. Gaeta and S. Salerno (Eds.), Towards the learning GRID: Advances in human learning services, Volume 127 (pp. 3–11), Frontiers in Artificial Intelligence and Applications, IOS Press.
- Book Flyer from IOS Press. (ISBN: 1-58603-534-7)
- Also: Proceedings of the 1st ELeGI conference: electronic Workshops in Computing (eWIC), The British Computer Society.
- Originally presented at San Marino Summer School, Semantics and Pragmatics on the Web: Synergies between Philosophy and Computing, June 2001.
- Clancey, W. J, Sierhuis, M., Damer, B., Brodsky, B. (2005) Cognitive modeling of social behaviors. In R. Sun (Ed.), Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation (pp. 151-184). New York: Cambridge University Press.
- Seah, C., Sierhuis, M., Clancey, W. J. (2005) Multi-agent modeling and simulation approach for design and analysis of MER mission operations. SIMCHI'05 Human-Computer Interface Advances for Modeling and Simulation (pp. 73-78).
- Sierhuis, M., Clancey, W. J, Damer, B., Brodsky, B., and van Hoof, R. (2005) Human activity behavior and gesture generation in virtual worlds for long-duration space missions. In S. R. Ellis, M. Slater, and T. Alexander (Eds.), Intelligent Motion and Interaction within Virtual Environments (IMIVE), NASA/CP—2005–213468 (pp. 103-133). Proceedings of IMIVE Conference, London, 2003.
- Clancey, W. J. (2004) Presentation: Applications for mission operations using multi-agent model-based instructional systems with virtual environments. Training for Tomorrow: Advanced Training Technologies (October 27) Houston, TX. (pdf)
- Farkin, B., Damer, B., Gold, S., Rasmussen, D., Neilson, M., Newman, P., Norkus, R., Bertelshems, B., Clancey, W. J., Sierhuis, M., Van Hoof, R. (2004) BrahmsVE: From human-machine systems modeling to 3D virtual environments. Proceedings of the 8th International Workshop on Simulation for European Space Programmes (SESP 2004), Noordwijk Holland, October 19-21.
- Sierhuis, M., Clancey, W. J., Seah, C., and Trimble, J., and Sims, M.H. (2003) Multiagent modeling and simulation in human-robot mission operations work system design, Journal of Management Information Systems, 19(4), 85-128. (M.E. Sharpe,Inc. URL: https://www.stern.nyu.edu/jmis)
- Acquisti, A., Sierhuis, M., Clancey, W. J., and Bradshaw, J. M. (2002) Agent-based modeling of collaboration and work practices onboard the International Space Station. Proceedings of the 11th Computer-Generated Forces and Behavior Representation Conference. Orlando, FL, May 7-9. Also presented at The First Lake Arrowhead Conference on Computational Social Science and Social Complexity, Lake Arrowhead, LA (UCLA), May 9-12.
- Clancey, W.J. (2002) Simulating activities: Relating motives, deliberation, and attentive coordination, Cognitive Systems Research 3(3) 471-499, September, special issue on situated and embodied cognition.
- Sierhuis, M., Acquisti, A., and Clancey, W. J. (2002) Multiagent plan execution and work practice: Modeling plans and work practices onboard the ISS, Proceedings of the 3rd International NASA Workshop on Planning and Scheduling for Space, Houston, TX, October.
- Sierhuis, M. and Clancey. W. J. (2002) Modeling and simulating work practice: A method for work systems design. IEEE Intelligent Systems, 17(5):32-41. Special issue on Human-Centered Computing at NASA, September/October.
- Sierhuis, M., Clancey, W. J., Sims, M.H. (2002) Multiagent modeling and simulation in human-robot mission operations work system design. In Proceedings of the Hawai'i International Conference on System Sciences.
- Clancey, W.J. and Sierhuis, M. (2002) Multiagent work practice simulation: Progress and challenges. Future Modeling and Simulation Challenges (pp. 18-1–18-16). RTO NATO Modelling and Simulation Group (NMSG) Conference, Breda, Netherlands, 12-14 November 2001.
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Sierhuis, M., R. van Hoof, R., Clancey, W. J., Scott, M. (2001) From Work Practice Models and Simulation to Implementation of Human-Centered Agent Systems. Workshop on Agent Supported Cooperative Work (ASCW01), 5th International Conference on Autonomous Agents. Montreal, Canada, May 29.
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Bradshaw, J. M., Sierhuis, M., Gawdiak, Y., Thomas, H., Greaves, M. and Clancey, W. J. (2000) Human-Centered Design for the Personal Satellite Assistant. International Conference on Human-Computer Interaction in Aeronautics, Toulouse, France.
- Sierhuis, M., Sims, M. H., Clancey, W. J. and Lee, P. (2000) Applying multiagent simulation to planetary surface operations. In L. Chaudron (Ed.) COOP'2000 Workshop on Modelling Human Activity (pp. 19-28). Sophia Antipolis, France.
- Sierhuis, M., Clancey, W. J., van Hoof, R., and de Hoog, R. (2000) Modeling and simulating human activity. In M. Freed (Ed.), AAAI Fall Symposium on Simulating Human Agents (pp. 100-110). AAAI Press, North Falmouth, MA. This paper describes the Apollo example from Sierhuis's dissertation.
- Sierhuis, M., Clancey, W. J., van Hoof, R., and Hoog, R. (2000) Modeling and simulating work practices from Apollo12. International Workshop on Simulation for European Space Programmes, ESTEC, Noordwijk, The Netherlands.
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Sierhuis, M. and Clancey, W. J. (1997) Knowledge, practice, activities, and people. Proceedings of AAAI Spring Symposium on Artificial Intelligence in Knowledge Management. Stanford University, CA.
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Clancey, W. J., Jordan, B., Sachs, P., and Torok, D. (1993) Formal modeling for work system design. AAAI National Conference, “Modeling in the Large” Workshop Abstract. Washington, D.C.
- Functional principles and situated problem solving (1987). Behavioral and Brain Sciences, 10 (3), 479–480.
- Review of Winograd and Flores’s Understanding Computers and Cognition—A favorable interpretation (1987). Artificial Intelligence, 31(2), 232–250.
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Experiential knowledge and engineering education (1987). Presented at the McDonnell "AI and Engineering Education" Workshop, Asilomar, CA, December 13–15.
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AI and Engineering: Report on the Asilomar Workshop (1987). Organizer's report for the James S. McDonnell Foundation.
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Reconceiving the role of Artificial Intelligence in Education (1988). In K. Fielden, F. Hicks, and N. Scott (Eds.), Sixth Annual Conference of Computers in Learning in Tertiary Education (ASCILITE-88). Canberra: Canberra College of Advanced Education (pp. 2–9).
- Commentary on Jon Sticklen’s "Problem-solving architecture at the knowledge-level" (1989). Journal of Experimental and Theoretical Artificial Intelligence, 1 (4), 249–253, October-December.
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The frame of reference problem in cognitive modeling (1989). Proceedings of 11th Annual Conference of the Cognitive Science Society (pp. 107–114). Hillsdale, NJ: Lawrence Erlbaum.
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The knowledge level reinterpreted: Modeling how systems interact (1989). Machine Learning, 4, 287–293.
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Engineering at the college level (1989). Unpublished position paper, Institute for Research on Learning, September.
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The frontiers of AI research (1990). In L. C. Wensel and G. S. Biging (Eds.), Forest Simulation Systems: Proceedings of the IUFRO Conference, November 2–5, 1988 (pp. 113–127). Oakland, CA: University of California.
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Clancey, W. J. and Soloway, E. (1990). Artificial Intelligence and Learning Environments: Preface. Artificial Intelligence, 42, 1–6.
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Invited speaker: Bill Clancey (Introduction by Jacobijn Sandberg) (1991). AI Communications, The European Journal on Artificial Intelligence, 4 (1), 4–10.
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Situated cognition: Stepping out of representational flatland (1991). AI Communications, The European Journal on Artificial Intelligence, 4 (2/3), 109–112.
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Why today's computers don't learn the way people do (1991). In P.A. Flach and R. A. Meersman (Eds.), Future Directions in Artificial Intelligence (pp. 53–62). Amsterdam: Elsevier.
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Bartlett’s view of the group as a psychological unit (1991). AAAI Fall Symposium on Knowledge and Action at Social and Organizational Levels (pp. 20–22). Asilomar, CA: AAAI Press.
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Review of Rosenfield’s The Invention of Memory (1991). Artificial Intelligence, 50 (2), 241–284.
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The frame of reference problem in the design of intelligent machines (1991). In K. vanLehn (Ed.), Architectures for Intelligence: The Twenty-Second Carnegie Mellon Symposium on Cognition (pp. 357–424). Hillsdale: Lawrence Erlbaum.
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New perspectives on cognition and instructional technology (1992). In E.Costa (Ed.), New Directions for Intelligent Tutoring Systems (pp. 3–14). Berlin: Springer-Verlag.
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Overview of the Institute for Research on Learning (1992). CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 571–572).
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Roschelle, J. and Clancey, W. J. (1992). Learning as social and neural. The Educational Psychologist, 27(4), 435–453.
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Representations of knowing: In defense of cognitive apprenticeship (1992). Journal of AI Education, 3 (2), 139–168.
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Knowledge Level (1992). In S. C. Shapiro (Ed.), Encyclopedia of Artificial Intelligence, Volume 1 (pp. 742–742). New York: John Wiley & Sons.
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A situated cognition perspective on learning on demand (1993). Proceedings of 15th Annual Conference of the Cognitive Science Society (pp. 181–183). Boulder.
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Notes on “Epistemology of a rule-based expert system” (1993). Artificial Intelligence, 59 (1/2), 197–204.
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Notes on “Heuristic classification” (1993). Artificial Intelligence, 59 (1-2), 191–196.
- The knowledge level reinterpreted: Modeling socio-technical systems (1993). International Journal of Intelligent Systems, 8 (1), 33–49.
- Reprinted: In K. M. Ford and J. M. Bradshaw (Eds.) Knowledge Acquisition as Modeling (pp. 33–49). New York: John Wiley & Sons Inc., 1993
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Situated action: A neuropsychological interpretation (Response to Vera and Simon) (1993). Cognitive Science, 17 (1), 87–107.
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The biology of consciousness: Comparative review of Israel Rosenfield, The Strange, Familiar, and Forgotten: An Anatomy of Consciousness and Gerald M. Edelman, Bright Air, Brilliant Fire: On the Matter of the Mind (1993). Artificial Intelligence, 60, 313-356.
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Guidon-Manage revisited: A socio-technical systems approach (1993). Journal of Artificial Intelligence in Education, 4 (1), 5–34.
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Comment on diSessa (1994). Cognition and Instruction, 12 (2), 97–102.
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Situated cognition: How representations are created and given meaning (1994). In R. Lewis and P. Mendelsohn (Eds.), Lessons from Learning (pp. 231–242). Amsterdam: North-Holland.
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A boy scout, Toto, and a bird: How situated cognition is different from situated robotics (1995). In L. Steels and R. Brooks (Eds.), The “Artificial Life” Route to "Artificial Intelligence”: Building Situated Embodied Agents (pp. 227-236). Hillsdale, NJ: Lawrence Erlbaum Associates. (Position paper for the 1991 NATO Workshop on Emergence, Situatedness, Subsumption, and Symbol Grounding.)
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A tutorial on situated learning (1995). In T.-W. Chan and J. Self (Eds.), Emerging computer technologies in education: Selected papers of the International Conference on Computers and Education (Taiwan) (pp. 49–70). Charlottesville, USA: AACE.
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Perceptual recategorization vs. grammatical task models—relating Neomycin, Soar, and Neural Darwinism (1995). In T.-W. Chan and J. Self (Eds.), Emerging computer technologies in education: Selected papers of the International Conference on Computers and Education (Taiwan) (pp. 207–42). Charlottesville, USA: AACE.
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The learning process in the epistemology of medical information (1995). Methods of Information in Medicine, 34 (1/2), 122–30.
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Practice cannot be reduced to theory: Knowledge, representations, and change in the workplace (1995). In S. Bagnara, C. Zuccermaglio, and S. Stucky (Eds.) Organizational Learning and Technological Change,(pp. 16–46). Berlin: Springer-Verlag.
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AI: Inventing a new kind of machine (1995). ACM Computing Surveys, 27 (3), 320–322.
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Conceptual coordination: Abstraction without description (1997). International Journal of Educational Research, 27 (1), 5–19.
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The conceptual nature of knowledge, situations, and activity (1997). In P. Feltovich, K. Ford, and R. Hoffman (Eds.), Human and Machine Expertise in Context (pp. 247–291). Menlo Park, CA: The AAAI Press.
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Interactive coordination processes: How the brain accomplishes what we take for granted in computer languages—and then does it better (1998). In Pylyshyn, Z. (Ed.) Constraining Cognitive Theories: Issues and Options (pp. 165–190). Greenwich: Ablex Publishing Corporation.
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Developing learning technology in practice (1998). In C. Bloom and R. B. Loftin (Eds.), Facilitating the Development and Use of Interactive Learning Environments (pp. 3–20). Hillsdale, NJ: Lawrence Erlbaum Associates.
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Greeno, J. G., Clancey, W. J., Lewis, C., Seidenberg, M., Derry, S., Gernsbacher, M. A., Langley, P., Shafto, M., Gentner, D., Lesgold, A., and Seifert, C. M. 1998. Efforts to encourage multidisciplinarity in the Cognitive Science Society. Cognitive Science 22 (1), 131–132.
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T. Menzies and Clancey, W. J. 1998. Editorial: the challenge of situated cognition for symbolic knowledge-based systems. Int. J. Human–Computer Studies 49, 767–769.
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Studying the varieties of consciousness: Stories about zombies or the life about us? (1999). Journal of the Learning Sciences, 8 (3–4), 525–40.
- Wraith, S. M., Aikins, J. S., Buchanan, B. G., Clancey, W. J., Davis, R., Fagan, L. M., Hannigan, J. F., Scott, A. C., Shortliffe, E. H., van Melle, W. J., Yu, V. L., Axline, S. G., and Cohen, S. N. (1976). Computerized consultation system for selection of antimicrobial therapy. Amer. J. Hosp. Pharm., 33, 1304–1308.
- An antibiotic therapy selector which provides for explanations (1977). Proceedings of Fifth IJCAI (p. 858).
- Revised: Details of the Revised Therapy Algorithm (1984). In B. G. Buchanan and T. H. Shortliffe (Eds.), Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project (pp. 133–146). Reading, MA: Addison-Wesley.
- Scott, A. C., Clancey, W., Davis, R., and Shortliffe, E. H. (1977). Explanation capabilities of knowledge-based production systems. Amer J Comp Linguistics, microfiche 62.
- Revised: Methods for Generating Explanations (1984). In B. G. Buchanan and T. H. Shortliffe (Eds.), Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project (pp. 338–362). Reading, MA: Addison-Wesley.
- Barr, A., Bennett, J., & Clancey, W. J., (1979) Transfer of Expertise: A Theme for AI Research. Working Paper No. HPP-83-17. Computer Science Department, Stanford University.
- Dialogue management for rule-based tutorials (1979). Proceedings of Sixth IJCAI (pp. 155–161). Tokyo.
- Tutoring rules for guiding a case method dialogue (1979). Int J of Man-Machine Studies, 11, 25–49.
- Transfer of rule-based expertise through a tutorial dialogue. (1979). PhD Dissertation, Computer Science Department, Stanford University. Technical Report No. STAN-CS-79-769.
- Clancey, W. J., Shortliffe, E. H., and Buchanan, B. G. (1979). Intelligent computer-aided instruction for medical diagnosis. Proceedings of the Third Annual Symposium on Computer Applications in Medical Computing (pp. 175–183). Silver Springs, Md.
- Yu, V. L., Fagan, L.M., Wraith, S. M., Clancey, W.J., Scott, A. C., Hannigan, J. F., Blum, R. L., Buchanan, B. G., Cohen, S. N. and the MYCIN Project Team. (1979). Antimicrobial selection by a computerized consultant—a blinded evaluation by infectious disease experts. Journal of the American Medical Association, 242, 1279–1282.
- Revised: An Evaluation of MYCIN’s Advice. (1984). In B. G. Buchanan and T. H. Shortliffe (Eds.), Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project (pp. 589–596). Reading, MA: Addison-Wesley.
- Clancey, W. J. and Letsinger, R. (1981) 1984. NEOMYCIN: Reconfiguring a rule-based expert system for application to teaching. In W. J. Clancey and E.H. Shortliffe (Eds.), Readings in Medical Artificial Intelligence: The First Decade (pp. 361–381). Reading, MA: Addison-Wesley, 1984.
- Original: Proceedings of Seventh IJCAI, 1981, pp. 829–826.
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Feigenbaum, E.A. and Clancey, W. J. 1981. Knowledge engineering, objectives and direction. Mathematical Sciences, 4, 11–20. (Printed in Japanese.)
- Clancey, W. J., Bennett, J. S., and Cohen, P. R. (1982). Applications-oriented AI Research: Education. In A. Barr and E. A. Feigenbaum (Eds.), Handbook of Artificial Intelligence, Volume 2 (pp. 223–294). Los Altos, CA: William Kaufmann.
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Clancey, W. J. and Buchanan, B. G. (1982). Exploration of problem-solving and tutoring strategies: 1979–1982. (1982). Technical Report No. STAN-CS-82-910 (HPP 82-8), Computer Science Department, Stanford University.
- London, B. and Clancey W. J. (1982). Plan recognition strategies in student modeling: Prediction and description. Proceedings of AAAI-82 (pp. 335–338).
- The advantages of abstract control knowledge in expert system design. (1983). Proceedings of AAAI-83, pp. 74–78.
- Original: Representing control knowledge in abstract tasks and metarules. Technical Report No. STAN-CS-83-995 (HPP-83-17). Computer Science Department, Stanford University.
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Communication, simulation, and intelligent agents: Implications of personal intelligent machines for medical education (1983). Proceedings of AAMSI-83 (pp. 556–560).
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GUIDON (1983). Journal of Computer-Based Instruction, 10 (1/2), 8–15. Also STAN-CS-83-997 (HPP-83-42), Computer Science Department, Stanford University.
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Review of Jonathan Miller’s States of Mind (1983). The AI Magazine, 4 (4), 61–66, Winter.
- The epistemology of a rule-based expert system: A framework for explanation (1983). Artificial Intelligence, 20 (3), 215–252
- Revised: Extensions to Rules for Explanation and Tutoring (1984). In B. G. Buchanan and T. H. Shortliffe (Eds.), Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project (pp. 531–568). Reading, MA: Addison-Wesley.
- Hasling, D., Clancey, W. J., and Rennels, G. (1984). Strategic explanations for a diagnostic consultation system. Int J Man-Machine Studies, 20 (1), 3–19.
- Reprinted in M. J. Coombs (Ed.), Developments in Expert Systems (pp. 117–133). London: Academic Press, 1984.
- Acquiring, representing, and evaluating a competence model of diagnosis. (1984). In M. Chi, R. Glaser, and M. Farr (Eds.), The Nature of Expertise (pp. 343–418). Hillsdale, New Jersey: Lawrence Erlbaum Associates.
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Classification problem solving (1984). Proceedings of AAAI-84, pp. 49–55. Also STAN-CS-84-1018 (HPP-84-7), Computer Science Department, Stanford University.
- Methodology for building an intelligent tutoring system (1984). In W. Kintsch, J. Miller, and P. Polson (Eds.), Method and Tactics in Cognitive Science (pp. 51–83). Hillsdale, NJ: Lawrence Erlbaum Associates.
- Reprinted in G. P. Kearsley (Ed.), Artificial Intelligence and Instruction: Application and Methods (pp. 193–227). Reading, MA: Addison-Wesley, 1987.
- Available: Technical Report No. STAN-CS-81-894 (HPP 81-18). Computer Science Department, Stanford University.
- Knowledge acquisition for classification expert systems (1984). Proceedings of ACM Annual Conference (pp. 11–14). New York: ACM.
- Reprinted in A. Gupta and B. E. Prasad (Eds.), Expert Systems—Principles, IEEE Press, 1988.]
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Review of Weiss and Kulikowski’s A Practical Guide to Designing Expert Systems (1984).
The AI Magazine, 5 (4), 84–86, Winter.
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Teaching classification problem solving (1984). Proceedings of the Sixth Annual Conference of the Cognitive Science Society (pp. 44–46). Boulder.
- Wilkins, D., Buchanan, B. G., Clancey, W. J. (1984). Inferring an expert’s reasoning by watching. Proceedings of the 1984 Conference on Intelligent Systems and Machines (pp. 51–58).
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Expert system design: Lessons from applications to education (1985). Proceedings of IEEE Spring Computer Conference (p. 115). [Co-recipient of "Best session of the day" award.]
- Heuristic classification (1985). Artificial Intelligence, 27, 289–350.
- Reprinted in J. S. Kowalik (Ed.), Knowledge-Based Problem Solving (pp. 1–67). New Jersey: Prentice-Hall, 1985.
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Review of Sowa’s Conceptual Structures: Information Processing in Mind and Machine (1985). Artificial Intelligence, 27 (1), 113–124.
- Richer, M.H. and Clancey, W. J. (1985). GUIDON-WATCH: A graphic interface for viewing a knowledge-based system. IEEE Computer Graphics and Applications, 5 (11), 51–64.
- Reprinted in Lawler, R. W. and Yazdani, M. (Eds.), Artificial Intelligence and Education, Volume One (pp. 373–412). New Jersey: Ablex, 1987.
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Wilkins, D. C., Clancey, W. J., and Buchanan, B. G. (1985). Odysseus: A learning apprentice. Proceedings of the Third International Machine Learning Workshop (pp. 221–223).
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Software tools for developing expert systems (1985). In I. De Lotto and M. Stefanelli (Eds.), Artificial Intelligence in Medicine: Proceedings of the International Conference on Artificial Intelligence in Medicine (pp. 155–178). Pavia, Italy, 13-14 September.
- From Guidon to Neomycin and Heracles in twenty short lessons (ONR Final Report 1979-1985) (1986). AI Magazine, 7 (3), 40–60.
- Reprinted in A. van Lamsweerde and P. Dufour (Eds.), Current Issues in Expert Systems (pp. 79–123). London: Academic Press, 1987.
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Know-how vs. knowledge representation (1986). Proceedings of the Workshop on Knowledge Compilation (pp. 1–2). Oregon State Technical Report, September.
- Qualitative student models (1986). Annual Review of Computer Science (pp. 381–450). Palo Alto: Annual Reviews Inc.
- More technical version: The Role of Qualitative Models in Instruction. (1988). In J. Self (Ed.), Artificial Intelligence and Human Learning: Intelligent Computer-Aided Instruction (pp. 49–68). London: Chapman & Hall.
- Clancey, W. J. and Bock, C. (1988). Representing control knowledge in abstract tasks and metarules. In L. Bolc and M. J. Coombs (Eds.), Expert System Applications (pp. 1–77). Berlin: Springer-Verlag.
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Clancey, W. J., Richer, M., Wilkins, D. C., Barnhouse, S., Kapsner, C., Leserman, D., Macias, J., Merchant, A., and Rodolitz, N. (1986). GUIDON-DEBUG: The student as knowledge engineer. Working paper No. KSL-86-34. Knowledge Systems Laboratory, Computer Science Department, Stanford University.
- Thompson, T. F. and Clancey, W. J. (1986). A qualitative modeling shell for process diagnosis. IEEE Software, 3 (2), 6–15.
- Wilkins, D. C., Clancey, W. J. and Buchanan, B. G. (1986). An overview of the Odysseus learning apprentice. In T. M. Mitchell, J. G. Carbonell and R. S. Michalski (Eds.), Machine Learning: A Guide to Current Research (pp. 369–373). Hingham, MA: Kluwer Academic.
- Diagnosis, Teaching, and Learning: An Overview of GUIDON2 Research (1987). In Proceedings of AI-87, Osaka, Japan. KSL-87-32.
- Intelligent Tutoring Systems: A tutorial survey (1987). In A. van Lamsweerde and P. Dufour (Eds.), Current Issues in Expert Systems (pp. 39–78). London: Academic Press.
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Knowledge engineering methodology: An annotated bibliography of NEOMYCIN research (1987). Second Annual Advanced Artificial Intelligence Tutorials, Oslo, Norway, July 28 - August 7.
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Detecting and coping with failure (1988). Proceedings of the Symposium on Explanation-Based Learning, AAAI Spring Symposium Series, March.
- The knowledge engineer as student: Metacognitive bases for asking good questions. (1988). In H. Mandl and A. Lesgold (Eds.), Learning Issues in Intelligent Tutoring Systems (pp. 80–113). New York: Springer-Verlag.
- Failure-driven line of reasoning explanations (1988). Presented at the Fourth International Workshop on Natural Language Generation, Catalina, CA, July 18–20.
- Wilkins, D. C., Clancey, W. J., and Buchanan, B. G. (1988). Knowledge Base Refinement by Monitoring Abstract Control Knowledge. In B. R. Gaines and J. H. Boose (Eds.), Knowledge Acquisition for Knowledge-Based Systems (pp. 183–195). Orlando: Academic Press.
- Reprinted from: Int J Man-Machine Studies, 27, 3, 281–293, September 1987.
- Wilkins, D. C., Clancey, W. J. and Buchanan, B. G. (1988). Using and Evaluating Differential Modeling in Intelligent Tutoring and Apprentice Learning Systems. In J. Psotka, L. Massey, and S. Mutter (Eds.), Intelligent Tutoring Systems: Lessons Learned (pp. 257–279). Hillsdale, NJ: Lawrence Erlbaum.
- Viewing knowledge bases as qualitative models (1989). IEEE/Expert, 4 (2), 9–23.
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Clancey, W. J. and Rodolitz, N. (1989). GUIDON-MANAGE: Teaching the Process of Medical Diagnosis. In D. Evans and V. Patel (Eds.), Cognitive Science in Medicine (pp. 313–348). Cambridge: MIT Press.
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Clancey, W. J. and Joerger, K. (1990). A practical authoring shell for apprenticeship learning. In M. Gardner, J. G. Greeno, F. Reif, A. H. Schoenfeld, A. diSessa, and E. Stage (Eds.), Toward a Scientific Practice of Science Education (pp. 141–161). Hillsdale, NJ: Lawrence Erlbaum Associates.
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Woolf, B. P., Soloway, E., Clancey, W. J., van Lehn, K., and Suthers, D. (1990). Knowledge-based Environments for Teaching and Learning. AI Magazine 11 (5), 74–77. Report of AAAI Spring Symposium.
- Clancey, W. J. and Barbanson, M. (1991). Using the systems-model-operator metaphor for knowledge acquisition. IEEE/Expert, 6 (5), 61–65.
- Reprinted with minor corrections: In J. M. David, J. P. Krivine, and R. Simmons (Eds.) Second Generation Expert Systems (pp. 456–464). Berlin: Springer-Verlag, 1993.
- Original version: TOPO: Implications of the systems-model-operator metaphor for knowledge acquisition. Presented at the First Japanese Knowledge Acquisition for Knowledge-Based Systems Workshop, Osaka, Japan, 1990.
- Contact me for a copy of the published IEEE version.
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Model construction operators (1992). Artificial Intelligence, 53 (1), 1–124.
