Zusammenfassung
What is a geyser? It is a very impressive natural phenomenon. It mainly occurs in regions that exhibited volcanic activities in former periods. You observe hot water and steam being tossed into the air out of a hole in the ground for a certain amount of time. After this, there is a phase with no obvious activity, until the next eruption takes place. Some geysers show a very precise pattern of periodic activity. One of the most famous geysers, located in Yellowstone National Park, is called “Old Faithful” because the duration of the period between two eruptions is almost constant.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Berleant, D. and Kuipers, B. Using Incomplete Quantitative Knowledge in Qualitative Reasoning, 2nd Workshop on Qualitative Physics, Paris, 1988
Brown, A. Qualitative Knowledge, Causal Reasoning, and the Localization of Failures, M.I.T. AITR-362, 1976
Chiu, C. Abstracting Qualitative Behaviors from Quantitative Simulation Models Draft, University of Texas at Austin, September 4, 1987
Chiu, C. Automatic Analysis of Qualitative Simulation Models, Univ. of Texas, Department of Physics and Artificial Intelligence Laboratory, 1988
Crandall, H. Yellowstone — The Story behind the Scenery, Las Vegas, 1983
Dague, P. Order of Magnitude Revisited, 2nd Workshop on Qualitative Physics, Paris, August 1988
Dague, P., Devès, P., and Raiman, O. Troubleshooting: When Modeling is the Trouble, AAAI 1987
Davis, R. Expert Systems: Where Are We? And Where Do We Go From Here?, The AI Magazine, Spring 1982
Davis, R. Diagnostic Reasoning Based on Structure and Behavior, Artificial Intelligence 24 (1–3), 1984
Davis, E. Order of Magnitude Reasoning in Qualitative Differential Equations, New York Univ. Tech. Report #312, 1987
Davis, E. A Logical Framework for Commonsense predictions of Solid Object Behavior, International Journal for Artificial Intelligence in Engineering 3 (3), 1988
de Kleer, J. Multiple Representations of Knowledge in a Mechanics Problem-Solver, IJCAI 1977
de Kleer, J. Causal and Teleological Reasoning in Circuit Recognition, M.I.T. AI-TR-529, 1979
deKleer, J. Qualitative Physics. In: Shapiro, Eckroth (eds), Encyclopedia of Artificial Intelligence, New York 1987
de Kleer, J. and Brown, J. S. Mental Models of Physical Mechanisms and Their Acquisition, in: Anderson, J. (ed.), Cognitive Skills and their Acquisition, Hillsdale, N. J., 1981
de Kleer, J. and Brown, J.S. A Qualitative Physics Based on Confluences. Artificial Intelligence 24 (1–3), 1984
de Kleer, J. and Sussman, G. J. Propagation of Constraints Applied to Circuit Synthesis, M.I.T. AITR-485, 1978
Dormoy, J.L. Controlling Qualitative Resolution, 2nd Workshop on Qualitative Physics, Paris, 1988
Falkenhainer, B. and Forbus, K. D. Setting up Large-Scale Qualitative Models, AAAI 1988
Forbus, K. D. Qualitative Reasoning about Physical Processes, IJCAI 1981
Forbus, K. D. Qualitative Process Theory, Artificial Intelligence 24 (1–3), 1984
Forbus, K. D. Introducing Action in Qualitative Simulation, 2nd Workshop on Qualitative Physics, Paris, 1988
Hardt, S. L. Aspects of Qualitative Physics of Diffusional Processes, 1st Workshop on Qualitative Physics, Urbana-Champaign, 1987
Hart, P.E. Directions for AI in the Eighties, SIGART Newsletter 79, 1982
Hayes, P. The Naive Physics Manifesto, in: Michie, D. (ed.), Expert Systems in the Micro-Electronic Age, Edinburgh, 1978
Hayes, P. The Second Naive Physics Manifesto, in: Hobbs, J. and Moore, R. (eds.), Formal Theories of the Commonsense World, Norwood, 1985
Hayes, P. Naive Physics 1: Ontology for Liquids, in: Hobbs, J. and Moore, R. (eds.), Formal Theories of the Commonsense World, Norwood, 1985
Kuipers, B. The Limits of Qualitative Simulation, IJCAI 1985
Kuipers, B. Qualitative Simulation, Artificial Intelligence 29 (3), 1986
Kuipers, B. Abstraction by Time-Scale in Qualitative Simulation, AAAI 1987
Kuipers, B. The Qualitative Calculus is Sound but Incomplete: A Reply to Peter Struss, International Journal for Artificial Intelligence in Engineering 3 (3), 1988
Lee, W.W and Kuipers, B. Non-Intersection of Trajectories in Qualitative Phase Space: A Global Constraint for Qualitative Simulation, AAAI 1988
Mavrovouniotis, M.L. and Stephanopoulos, G. Reasoning with Orders of Magnitude and Approximate Relations, AAAI 1987
Mc Carthy, J. Situations, Actions and Causal Laws, AI-Memo 1, Artificial Intelligence Project, Stanford University
Mc Dermott, D. Flexibility and Efficiency in a Computer Program for Designing Circuits, M.I.T. AITR-402, 1976
Murthy, S. Qualitative Reasoning at Multiple Resolutions, AAAI 1988
Raiman, O. Order of Magnitude Reasoning, AAAI 1986
Raiman, O. Caricatural Reasoning, 2nd Workshop on Qualitative Physics, Paris, 1988
Rieger, C. and Grinberg, M. The Causal Representation and Simulation of Physical Mechanisms, University of Maryland, TR 495, 1976
Rieger, C. and Grinberg, M. The Declarative Representation and Procedural Simulation of Causality in Physical Mechanisms, IJCAI 1977
Rieger, C. and Grinberg, M. A System of Cause-Effect Representation and Simulation for Computer — Aided Design, in: Latombe (ed), Artificial Intelligence and Pattern Recognition in Computer-Aided Design, Amsterdam, 1978
Sacks, E. Qualitative Analysis by Piecewise Linear Approximation, International Journal for Artificial Intelligence in Engineering 3 (3), 1988
Schmid, L. Impediments to a Qualitative Physics Based on Confluences. In: Fruechtenicht et al. (eds), Technische Expertensysteme — Wissensrepraesentation und Schlussfolgerungsverfahren, Munich 1988
Simmons, R. “Commonsense” Arithmetic Reeasoning, AAAI 1986
Stallman, R. M. and Sussman, G. J. Forward Reasoning and Dependency — Directed Backtracking in a System for Computer-Aided Circuit Analysis, Artificial Intelligence 9 (2), 1977
Struss, P. Multiple Representation of Structure and Function, in: J. Gero (ed.), Expert Systems in Computer-Aided Design, Amsterdam, 1987
Struss, P. Problems of Interval-Based Qualitative Reasoning. In: Fruechtenicht et al. (eds), Technische Expertensysteme — Wissensrepraesentation und Schlussfolgerungsverfahren, Munich 1988
Struss, P. Mathematical Aspects of Qualitative Reasoning, in: International Journal for Artificial Intelligence in Engineering 3 (3) 1988
Struss, P. Global Filters for Qualitative Behaviors, AAAI 1988
Struss, P. Mathematical Aspects of Qualitative Reasoning — Part Two: Differential Equations, Siemens Technical Report INF 2 ARM-7–88, Munich, 1988
Sussman, G. Contribution to the discussion of [Rieger-Grinberg 78], in: Latombe (ed), Artificial Intelligence and Pattern Recognition in Computer-Aided Design, Amsterdam, 1978
Sussman, G. J. and Stallman, R. M. Heuristic Techniques in Computer-Aided Circuit Analysis, IEEE Transactions on Circuits and Systems CAS-22 (11), 1975
Sussman, G. J. and Steele, G. L. CONSTRAINTS — A Language for Expressing Almost — Hierarchical Descriptions, Artificial Intelligence 14 (1), 1980
Weld, D. Comparative Analysis, IJCAI 1987
Williams, B. Doing Time: Putting Qualitative Reasoning on Firmer Ground, AAAI 1986
Williams, B. Minima: A Symbolic Approach to Qualitative Algebraic Reasoning, AAAI 1988
Yip, K.M. Generating Global Behaviors Using Deep Knowledge of Local Dynamics, AAAI 1988
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1989 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Struss, P. (1989). Qualitative Reasoning. In: von Luck, K. (eds) Künstliche Intelligenz. Informatik-Fachberichte, vol 203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-74563-8_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-74563-8_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-50878-6
Online ISBN: 978-3-642-74563-8
eBook Packages: Springer Book Archive