Epistemological approach to the process of practice

Minds and Machines

Volumn 18, Issue 4, 2008, Pages 547-567

  Dazeley, Richard ^a   Kang, Beyong Ho ^b  

^a UNIVERSITY OF BALLARAT   (Australia)

^b UNIVERSITY OF TASMANIA   (Australia)

Author keywords

Dynamic context; Epistemology; Hidden context; Knowledge based systems; Knowledge representation; Philosophy of knowledge; Process of practice; Situation cognition

Indexed keywords

BRITTLENESS; FRACTURE MECHANICS; INFORMATION THEORY; KNOWLEDGE BASED SYSTEMS; ONTOLOGY; PACKET NETWORKS; PAPER; PHILOSOPHICAL ASPECTS; PLASTICITY;

DYNAMIC CONTEXT; EPISTEMOLOGY; HIDDEN CONTEXT; PHILOSOPHY OF KNOWLEDGE; SITUATION COGNITION;

KNOWLEDGE REPRESENTATION;

EID: 57049154493     PISSN: 09246495     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11023-008-9117-3     Document Type: Article

References (79)

1. A Adam 2000 Deleting the subject: A feminist reading of epistemology in artificial intelligence Minds and Machines 10 231 253
2. PE Agre 1990 Book review of plans and situated: Actions: The problem of human-machine communication Artificial Intelligence 43 3 369 384
3. Anderson, J. (1990). Cognitive psychology and its implications (3rd ed.). New York: W. H. Freeman and Company.
4. Arbib, M. (1993). Book review-Allen Newell, unified theories of cognition. Artificial Intelligence, 59I have reprint in contemplating minds, 265.
5. J Bachant J McDermott 1984 R1 revisited: Four years in the trenches AI Magazine 5 3 21 32
6. Bartlett, F. C. (1932). Remembering: A study in experimental and social psychology. London: Cambridge University Press.
7. Beydoun, G. (2000). Incremental knowledge acquisition for search control heuristics. Sydney: University of New South Wales.
8. G Birkhoff 1938 Lattices and their applications Bulletin of the American Mathematics Society 44 793 800
9. Boose, J. H., Bradshaw, J. M., Kitto, C. M., & Shema, D. B. (1989). From ETS to aquinas: Six years of knowledge acquisition tools. In Proceedings of the Fourth AAAI-sponsored Knowledge Acquisition for Knowledge-based Systems Workshop, Banff (pp. 5.1-5.17).
10. Bransford, J. D., McCarrell, N. S., Franks, J. J., & Nitsch, K. E. (1977). Toward unexplaining memory. In R. Shaw & J. Bransford (Eds.), Perceiving, acting, and knowing: Toward an ecological psychology (pp. 431-466). Hillsdale, New Jersey: Lawrence Erlbaum Associates.
11. P Brezillon 1999 Context in artificial intelligence: II. Key elements of contexts Computer and Artificial Intelligence 18 5 425 446
12. RA Brooks 1991 Intelligence without representation Artificial Intelligence 47 139 159
13. WJ Clancey 1991 Book review-Israel Rosenfield, the invention of memory: A new view of the brain Artificial Intelligence 50 2 241 284
14. WJ Clancey P Sachs M Sierhuis R van Hoof 1998 BRAHMS: Simulating practice for work system design International Journal of Human-Computer Studies 49 831
15. Compton, P. (1992). Insight and knowledge. In AAAI spring symposium: Cognitive aspect of knowledge acquisition (pp. 57-63). Stanford: AAAI Press.
16. Compton, P., Horn, R., Quinlan, R., & Lazarus, L. (1989). Maintaining an expert system. In J. R. Quinlan (Ed.), Applications of expert systems (pp. 366-385). London: Addison Wesley.
17. P Compton R Jansen 1990 A philosophical basis for knowledge acquisition Knowledge Acquisition 2 241 257
18. Compton, P., & Jansen, R. (1988). Knowledge in context: A strategy for expert system maintenance. In Proceedings of Second Australian Joint Artificial Intelligence Conference (AI88), Sydney (Vol. 1, pp. 292-306).
19. Compton, P., & Kang, B. H. (1993). Knowledge histories. In Proceedings of 2nd Australian Cognitive Science Conference (pp. 139-141). Melbourne, Australia.
20. Compton, P., Kang, B. H., Preston, P., & Mulholland, M. (1993). Knowledge acquisition without analysis. In G. Boy & B. Gaines (Eds.), Knowledge acquisition for knowledge based systems (Vol. 723, pp. 278-299). Berlin: Springer.
21. Compton, P., et al. (1988). Maintaining an expert system. In Proceedings of Fourth Australian Conference on Applications of Expert Systems, Sydney (pp. 110-129).
22. Compton, P., et al. (1991). Ripple down rules: Possibilities and limitations. In Proceedings of Sixth Banff Knowledge Acquisition for Knowledge-based Systems Workshop (KAW91), Banff (Vol. 1, pp. 6.1-6.18).
23. Dazeley, R. (2007). To the knowledge frontier and beyond: A hybrid system for incremental contextual-learning and prudence analysis. Ph.D. dissertation, University of Tasmania, 281 p.
24. Diaz-Agudo, B., & Gonzalez-Calero, P. A. (2001). Classification based retrieval using formal concept analysis. ICCBR 2001. Lecture Notes in Computer Science, 2080, 173-188.
25. Feigenbaum, E. A. (1977). The art of artificial intelligence: Themes and case studies in knowledge engineering. In International joint conference on artificial intelligence (pp. 1014-1029). Stanford: Stanford University.
26. Gaines, B. (2000). Knowledge science and technology: Operationalizing the enlightenment. In Proceedings of the 6th Pacific Knowledge Acquisition Workshop (pp. 97-124). Sydney: University of New South Wales.
27. B Gaines MLG Shaw 1993 Knowledge acquisition tools based on personal construct psychology The Knowledge Engineering Review 8 1 49 85
28. Gennari, J. H., Musen, M. A., Fergerson, R. W., Grosso, W. E., Crubezy, M., Eriksson, H., et al. (2002). The evolution of protégé: An environment for Knowledge-Based Systems Development (Technical Report No. SMI-2002-0943): Standford Medical Informatics (SMI).
29. RV Guha DB Lenat 1994 Enabling agents to work together Communications of the ACM 37 7 127 142
30. Jansen, R., & Compton, P. (1989). The knowledge dictionary: Storing different knowledge representations. In Proceedings of the 5th Australian Conference on Applications of Expert Systems (pp. 143-162). Sydney: CSIRO Division of Information Technology.
31. JJ Jenkins 1974 Remember that old theory of memory? Well, forget it! The American Psychologist 29 11 785 795
32. Kang, B. H., & Compton, P. (1992). Knowledge acquisition in context: The multiple classification problem. In Proceedings of the 2nd Pacific Rim International Conference on Artificial Intelligence. Seoul, Korea.
33. Kang, B. H., & Compton, P. (1994). Multiple classification ripple down rules. In Third Japanese knowledge acquisition for knowledge-based systems workshop.
34. Kang, B. H., Compton, P., & Preston, P. (1995). Multiple classification ripple down rules: Evaluation and possibilities. In Proceedings of the 9th Knowledge Acquisition for Knowledge based Systems Workshop. Banff: University of Calgary.
35. Kelly, G. A. (1955). The psychology of personal constructs. New York: Norton.
36. Kelly, G. A. (1970). A brief introduction to personal construct theory. In D. Bannister (Ed.), Perspectives in personal construct theory (pp. 1-29). London: Academic Press.
37. Killin, J. (1993). Managing and maintaining an operational KADS system. In G. Schreiber, B. J. Wielinga & J. Breuker (Eds.), A principled approach to knowledge-based development (p. 457). London: Academic Press.
38. Leake, D. B. (1996). Case-based reasoning: Experiences, lessons, and future directions. Menlo Park, CA: AAAI Press/MIT Press.
39. DB Lenat 1995 CYC: A large-scale investment in knowledge infrastructure Communications of the ACM 38 11 33 38
40. Lenat, D. B., & Feigenbaum, E. A. (1988). On the threshold of knowledge. In Proceedings of the Fourth Australian Conference on Applications of Expert Systems (pp. 31-56).
41. DB Lenat EA Feigenbaum 1991 On the threshold of knowledge Artificial Intelligence 47 1 185 250
42. Lenat, D. B., & Guha, R. V. (1990). Building large knowledge-based systems: Representation and inference in the cyc project. Reading, MA: Addison-Wesley Publishing Company, Inc.
43. DB Lenat 1990 Cyc: Toward programs with common sense Communications of the ACM 33 8 30 49
44. P Maes 1990 Designing autonomous agents Robotics and Autonomous Systems 6 1 1 196
45. Menzies, T. (1996). Assessing responses to situated cognition. In Proceedings of the 10th Banff Knowledge Acquisition for Knowledge-based Systems Workshop. Spain: Catelonia.
46. T Menzies 1998 Towards situated knowledge acquisition International Journal of Human-Computer Studies 49 867 893
47. Menzies, T., & Debenham, J. (2000). Expert system maintenance. In A. Kent & J. G. Williams (Eds.), Encyclopaedia of computer science and technology (pp. 35-54). New York, NY: Marcell Dekker Inc.
48. A Newell HA Simon 1976 Computer science as empirical inquiry: Symbols and search Communications of the ACM 19 3 113 126
49. Patel, V., & Ramoni, M. (1997). Cognitive models of directional inference in expert medical reasoning. In P. F. Feltovich & R. Hoffman (Eds.), Expertise in context (pp. 67-99). Cambridge, MA: MIT Press.
50. Piaget, J. (1970). Genetic epistemology. New York, NY: Columbia University Press.
51. Pittman, K., & Lenat, D. B. (1993). Representing knowledge in CYC-9, MCC Technical Report CYC-175-93P.
52. Popper, K. R. (1963). Conjectures and refutations. London: Routledge and Kegan Paul Ltd.
53. Popper, K. R. (1968). Epistemology without a knowing subject. In B. V. Rootselaar (Ed.), Logic, methodology and philosophy of science (Vol. III (pp. 333-373). Amsterdam: North-Holland.
54. Preston, P., Edwards, G., & Compton, P. (1993). A 1600 rule expert system without knowledge engineers. In Moving Towards Expert Systems Globally in the 21st Century (pp. 220-228). (Proceedings of the Second World Congress on Expert Systems 1993)
55. Preston, P., Edwards, G., & Compton, P. (1994). A 2000 rule expert system without a knowledge engineer. In Proceedings of the 8th AAAI-sponsored Banff Knowledge Acquisition for Knowledge-based Systems Workshop (pp. 17.1-17.10).
56. B Ramesh V Dhar 1992 Supporting systems development by capturing deliberations during requirements engineering IEEE Transactions on Software Engineering 18 498 510
57. Richards, D. (1998a). The reuse of knowledge in ripple down rule knowledge based systems (p. 336). University of New South Wales: Sydney.
58. Richards, D. (1998b). Ripple down rules with formal concept analysis: A comparison to personal construct psychology. In Proceedings of the 11th Workshop on Knowledge Acquisition, 1: KAT-4. Banff: SRDG Publications.
59. D Richards 2001 Knowledge based system explanation: The ripple down rules alternative International Journal of Knowledge and Information Systems 5 1 2 25
60. Richards, D., & Busch, P. A. (2000). Measuring, formalising and modelling tacit knowledge. In International congress on intelligent systems and applications (ISA'2000).
61. Richards, D., & Busch, P. A. (2001). Acquiring and applying contextualised tacit knowledge. In Australian conference for knowledge management & intelligent decision support (ACKMIDS' 2001).
62. Schreiber, G. (1993). Operationalizing models of expertise. In G. Schreiber, B. J. Wielinga & J. Breuker (Eds.), A principled approach to knowledge-based development (p. 457). London: Academic Press.
63. Schreiber, G., Wielinga, B., & Breuker, J. (1993). KADS: A principled approach to knowledge-based system development. Amsterdam: Elsevier.
64. Shaw, M. L. G. (1988). Validation in a knowledge acquisition system with multiple experts. In International conference on fifth generation computer systems (pp. 1259-1266). Tokyo: Springer.
65. Shaw, M. L. G., & Gaines, B. (1992). Kelly's "geometry of psychological space" and its significance for cognitive modeling. The New Psychologist, 23-31.
66. Siewiorek, D. P., Bell, C. G., & Newell, A. (1982). Computer structures: Principles and examples. New York: McGraw-Hill.
67. Stumme, G., Studer, R., & Sure, Y. (2000). Towards an order-theoretical foundation for maintaining and merging ontologies. In Proceedings of Referenzmodellierung 2000 (pp. 136-149). Aachen: Shaker.
68. Suchman, L. A. (1987). Plans and situated actions: The problem of human-machine communication. New York, NY: Cambridge University Press.
69. Sutton, R., & Barto, A. (1998). Reinforcement learning: An introduction. Cambridge, MA: A Bradford Book, The MIT Press.
70. A Vera HA Simon 1993 Situated action: A response to reviewers Cognitive Science 17 77 86
71. A Vera HA Simon 1993 Situated action: A symbolic interpretation Cognitive Science 17 7 48
72. A Vera HA Simon 1993 Situated action: Reply to William Clancey Cognitive Science 17 117 133
73. MM Waldrop 1990 Fast, cheap, and out of control Science 248 959 961
74. G Widmer M Kubat 1996 Learning in the presence of concept drift and hidden contexts. Machine Learning 23 1 69
75. BJ Wielinga TA Schreiber JA Breuker 1992 KADS: A modeling approach to knowledge engineering Knowledge Acquisition 4 1 5 54
76. Wille, R. (1981). Restructuring lattice theory: An approach based on hierarchies of concepts. In I. Rival (Ed.), Ordered sets: Proceedings of the NATO Advanced Study Institute held at Banff, Canada (pp. 445-472). D. Dordrecht: Reidel Publishing.
77. Wille, R. (1989). Knowledge acquisition by methods of formal concept analysis. In E. Diday (Ed.), Data Analysis, Learning Symbolic and Numeric Knowledge (pp. 365-380). New York, NY: Nova Science Publishers.
78. R Wille 1992 Concept lattices and conceptual knowledge systems Computers Mathematical Applications 23 6 493 515
79. WordNet. (2003). WordNet. Retrieved January 12, 2006, from http://dictionary.reference.com/