|
Addanki S, Cremonini R and Penberthy JS, 1991, “Graphs of models” Artificial Intelligence51145–177.
Google Scholar
|
|
Bratko I, Muggleton S and Varsek A, 1992, “Learning qualitative models of dynamic systems” In: Muggleton S, editor, inductive Logic Programming, Academic Press, pp 437–452.
Google Scholar
|
|
Bredeweg B, 1992, “Expertise in qualitative prediction of behaviour” PhD thesis, University of Amsterdam.
Google Scholar
|
|
Bredeweg B and Schut C, 1993, “Reducing ambiguity by learning assembly behaviour” In: Proceedings of the 13th International Joint Conference on Artificial Intelligence pp 980–985, Chambéry. France.
Google Scholar
|
|
Cohn AG, 1989, “Approaches to qualitative reasoning” Artificial Intelligence Review3177–232.
Google Scholar
|
|
Coiera E, 1989, “Generating qualitative models from ex&e behaviour” Technical Report DCS 8901, Department of Computer Science, University of New South Wales.
Google Scholar
|
|
Coiera EW, 1992, “The qualitative representation of physical systems” The Knowledge Engineering Review7 (1) 55–77.
Google Scholar
|
|
Crawford J, Farquhar A and Kuipers B, 1990, “A compiler from physical models into qualitative differential equations” In: Proc. of AAAI-90, 365–372, Boston, MA.
Google Scholar
|
|
de Kleer JH, 1986, “An assumption-based TMS” Artificial Intelligence28127–162.
Google Scholar
|
|
DeCoste D, 1991, “Dynamic across-time measurement interpretation” Artificial Intelligence51273–341.
Google Scholar
|
|
deKlcer I and Brown JS, 1984, “A qualitative physics based on confluences” Artificial Intelligence247–83.
Google Scholar
|
|
Falkenhainer B, 1987, “Scientific theory formation through analogical inference” In: Proceedings of the 4th International Workshop on Machine Learning 218–229, Irvine, University of California.
Google Scholar
|
|
Falkenhainer B and Forbus K, 1991, “Compositional modelling: Finding the right model for the job” Artificial Intelligence5195–143.
Google Scholar
|
|
Falkenhainer BC and Michalski RS, 1986, “Integrating quantitative and qualitative discovery: the abacus system” Machine Learning1367–401.
Google Scholar
|
|
Farquhar A, 1993, “Automated Modeling of Physical Systems in the Presence of Incomplete Knowledge” PhD thesis, University of Texas, Austin.
Google Scholar
|
|
Forbus KD, 1983, “Measurement interpretation in qualitative process theory” In: Proc. of 8th IJCA1315–320, Karlsruhe, FRG.
Google Scholar
|
|
Forbus KD, 1984, “Qualitative process theory” Artificial Intelligence2485–168.
Google Scholar
|
|
KD Forbus, 1986, “Interpreting measurements of physical systems” In: Proceedings of the AAAl113–117, San Mateo, CA, Morgan Kaufmann.
Google Scholar
|
|
Forbus KD, 1988, “Qualitative physics: Past, present, and future” In: HE Shrobe, editor, Exploring Artificial Intelligence239–296, Morgan Kaufmann.
Google Scholar
|
|
Forbus KD, 1990, “The qualitative process engine” In: Weld DS and deKleer J, editors, Readings in Qualitative Reasoning about Physical Systems220–235, Morgan Kaufmann.
Google Scholar
|
|
Forbus KD and Gentner D, 1986, “Learning physical domains: Toward a theoretical framework” In: Michalski RS, Carbonell JG and Mitchell TM, editors, Machine Learning: An Artificial intelligence Approach: Volume II311–348, Morgan Kaufmann.
Google Scholar
|
|
Goldberg DE, editor, 1989, Genetic Algorithms in Search, Optimization, and Machine LearningAddison-Wesley.
Google Scholar
|
|
Hau DT and Coiera EW, 1995, “Learning qualitative models of dynamic systems” Technical Report HPL 95–31, Hewlett Packard Laboratories.
Google Scholar
|
|
Holland JH, editor, 1975, Adaptation in Natural and Artificial SystemsUniversity of Michigan Press.
Google Scholar
|
|
Iwasaki Y, 1989, “Qualitative physics” In: Barr A, Cohen P and Feigenbuam E, editors, The Handbook of Artificial Intelligence vol. IV323–413, Addison-Wesley.
Google Scholar
|
|
Iwasaki Y and Levy AY, 1993, “Automated model selection for simulation” In: Proceedings of the Seventh International Workshop on Qualitative Reasoning about Physical Systems108–116, Seattle, WA.
Google Scholar
|
|
Karnopp DC, Margolis DL and Rosenberg RC, 1990, System Dynamics: a Unified Approach John Wiley & Sons, second revised edition.
Google Scholar
|
|
Kuipers B, 1986, “Qualitative simulation” Artificial Intelligence29289–388.
Google Scholar
|
|
Kuipers B, 1994, Qualitative Reasoning, Modelling and Simulation with incomplete KnowledgeMIT Press.
Google Scholar
|
|
Langley P, Zytkow JM, Simon HA and Bradshaw GL, 1986, “The search for regularity: Four aspects of scientific discovery” In: Michalski RS, Carbonell JG and Mitchell TM, editors, Machine Learning: An Artificial intelligence Approach, volume 2425–469, Morgan Kaufmann.
Google Scholar
|
|
Levy AY, Iwasaki Y and Motoda H, 1992, “Relevance reasoning to guide compositional modelling” In: Proceedings of the Sixth international Workshop on Qualitative Reasoning about Physical Systems7–21, Edinburgh, Scotland, 08.
Google Scholar
|
|
Low CM and Iwasaki Y, 1992, “Device modelling environment: an interactive environment for modelling device behaviour” Intelligent Systems Engineering1(2)115–145, Winter.
Google Scholar
|
|
Michalski RS, 1983, “A theory and methodology of inductive learning” In: Michalski RS, Carbonell JG and Mitchell TM, editors, Machine Learning: an Artificial Intelligence ApproachTioga.
Google Scholar
|
|
Mozetič I, 1987, “The role of abstractions in learning qualitative models” In: Proceedings of the 4th international Workshop on Machine Learning242–255, Irvine, CA.
Google Scholar
|
|
Mozetič I, Bratko I and Urbančič T, 1990, “Varying levels of abstraction in qualitative modelling” In: Hayes JE, Michie D and Tyugu E, editors, Machine intelligence 12259–280, Clarendon Press.
Google Scholar
|
|
Muggleton SH and Feng C, 1990, “Efficient induction of logic programs” In: Proceedings of the First Conference on Algorithmic Learning TheoryTokyo, Japan.
Google Scholar
|
|
Nayak PP, 1992, “Causal approximations” In: Proceedings of the Tenth National Conference on Artificial Intelligence AAAI-'92703–709, San Jose, CA, 07.
Google Scholar
|
|
Nayak PP, Joskowicz L and Addanki S, 1992, “Automated model selection using context-dependent behaviors” In: Proceedings of the Tenth National Conference on Artificial Intelligence AAAI-'92710–716, San Jose, CA, 07.
Google Scholar
|
|
Nordhausen B and Langley P, 1993, “An integrated framework for empirical discovery” Machine Learning1217–47.
Google Scholar
|
|
Paynter HM, 1961, Analysis and Design of Engineering SystemsMIT Press.
Google Scholar
|
|
Richards BL, Kraan I and Kuipers BJ, 1992, “Automatic abduction of qualitative models” In: Proceedings of the Tenth National Conference on Artificial Intelligence AAAI-'92723–728, San Jose, CA, 07.
Google Scholar
|
|
Rickel J and Porter B, 1992, “Automated modeling for answering prediction questions: Exploiting interaction paths” In: Proceedings of the Sixth International Workshop on Qualitative Reasoning about Physical Systems82–95, Edinburgh, Scotland, 08.
Google Scholar
|
|
Rickel J and Porter B, 1994, “Automated modeling for answering prediction questions: Selecting the time scale and system boundary” In: Proc. of AAAI-94 1191–1198, 07.
Google Scholar
|
|
Rothcnbcrg J, 1989, “The nature of modelling” In: Widman LE, Loparo KA and Nielson NR, editors, Artificial intelligence, Simulation, and Modeling75–92, John Wiley & Sons.
Google Scholar
|
|
Schut C and Bredeweg B, 1993, “Automatic enhancement of model parsimony” In: Proceedings of the 7th international Workshop on Qualitative Reasoning194–203, Seattle, WA, 05.
Google Scholar
|
|
Schut C and Bredeweg B, 1994, “Supporting qualitative model specification In: Proc. of the Second International Conference on intelligent Systems Engineering37–42, Technical University of HamburgHarburg, Germany.
Google Scholar
|
|
Schut C and Bredeweg B, 1995, “Supporting qualitative model construction: Eliminating incorrectly predicted derivatives” In: Proceedings of the 9th International Workshop on Qualitative Reasoning163–172, Amsterdam, The Netherlands, 05.
Google Scholar
|
|
Shen Q, Leitch RR and Steele AD, 1994, “A generic harness for the systematic generation of multiple models” In: Proc. of the Second International Conference on Intelligent Systems Engineering49–55. Technical University of Hamburg-Harburg, Germany.
Google Scholar
|
|
Top J, 1993, “Conceptual Modelling of Physical Systems” PhD thesis, Twente University, 09.
Google Scholar
|
|
Varek A, 1991, “Qualitative model evolution” In: Proc. of the 12th IJCAl 1311–1316, Sydney, Australia.
Google Scholar
|
|
Weld DS, 1992, “Reasoning about model accuracy” Artificial Intelligence56255–300.
Google Scholar
|
|
Weld DS and deKleer J, 1990, Readings in Qualitative Reasoning about Physical SystemsMorgan Kaufmann.
Google Scholar
|
|
Xia S, Linkens DA and Bennett S, 1993, “Automatic modelling and analysis of dynamic physical systems using qualitative reasoning and bond graphs” Intelligent Systems Engineering2 (3) 201–212, Autumn.
Google Scholar
|
|
Zeigler BP, 1976, Theory of Modelling and SimulationWiley-Interscience.
Google Scholar
|