Nothing Special   »   [go: up one dir, main page]

skip to main content
article
Free access

Intelligence in scientific computing

Published: 01 May 1989 Publication History

Abstract

The authors discuss the development of intelligent techniques appropriate for the automatic preparation, execution, and control of numerical experiments.

References

[1]
Abelson, H., Halfant, M., Katzenelson, J., and Sussman, G.J. The Lisp experience. Annual Rev. Comp. Sci., vol 3., Annual Reviews, Palo Alto, '1988, 167-195.]]
[2]
Abelson, H., and Sussman, G.J. The Dynamicist's Workbench I: Automatic preparation of numerical experiments. MIT Artificial Intelligence Laboratory Memo 955, May '1987.]]
[3]
Abramowitz, M., and Stagun, I. Handbook of Mathematical Functions. Dover Publications, 1965.]]
[4]
Applegate, J., Douglas, M., Gfirsel, Y. Hunter, P., Seitz, C., Sussman, G.J. A digital orrery. IEEE Trans. Cornp. C-34, 9 (Sept. 1985), pp. 822-83'1.]]
[5]
Baase, S. Computer Algorithms. Addison-Wesley, 1978.]]
[6]
Feinberg, M. Chemical oscillations, multiple equilibria, and reaction network structure. In Dynamics and Modelling of Reactive Systems, W. Stewart, W.H. Ray and C. Conley, Eds. Academic Press, New York, 1980, pp. 59-130.]]
[7]
Franceschini, V. Two models of truncated Navier-Stokes equations on a two-dimensional lorus. Phys. Fluids 26, 2 (Feb. 1983), 433-447.]]
[8]
Halfant, M., and Sussman, G.J. Abstraction in Numerical Methods. In Proceedings of ACM Conference on Lisp and Functional Programming (Aug. 1988}, pp. 1-7.]]
[9]
H(~non, M. Numerical study of quadratic area-preserving mappings.]]
[10]
Gelernler, H. Realization of a geometry theorem proving machine. In Proceedings of the International Conference on Information Processing (Paris 1959), pp. 273-282: also in Computers and Thought. E. Feigenbaum and J. Feldman Eds. McGraw-Hill, New York, 1963, 134-152.]]
[11]
Guckenheimer J., and Holmes, P. Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields. Springer-Verlag, 1983.]]
[12]
Hsu, C.S. A theory of index for point mapping dynamical systems. J. Applied Mechanics 47 (1980), 185-190.]]
[13]
Hsu, C.S., Cheng, W.H., and Yee, H.C. Steady-state response of a non-linear system under impulsive parametric excitation. J. Sound and Vibration 50 (1977), 95-116.]]
[14]
Kinoshita, H., and Nakai, H. Motions of the perihelions of Neptune and Pluto. Celestial Mechanics 34, 203 ('1984}.]]
[15]
Laidler, K. Chemical Kinetics (3rd edition). Harper & Row, New York, 1987.]]
[16]
MacKay, R. Renormalization in Area-Preserving Maps, Ph.D. dissertation, Princeton University, 1982.]]
[17]
McCormick, B., Desanti, T., and Brown, M. Eds. Visualization in scientific computing. Comp. Graph. 21, 6 (1987).]]
[18]
Nevins, A.J. Plane geometry theorem proving using forward chaining. MIT Artificial Intelligence Laboratory, Memo, no. 303, January 1974.]]
[19]
Novak, G. Represenlalions of knowledge in a program for solving physics problems. In Proceedings of the 5th IJCAI (Cambridge, Mass. 1977), pp. 286-291.]]
[20]
Roylance, G.L. Expressing mathematical subroutines constructively. In Proceedings of ACM Conference on Lisp and Functional Programming (Aug. '1988), pp. 8-'13.]]
[21]
Sacks, E.P. Hierarchical reasoning about inequalities. AAAI (1987), 649-654.]]
[22]
Sacks, E.P. Piecewise linear reasoning. AAAI (1987), 655-659.]]
[23]
Sacks, E.P. Automatic qualitative analysis of ordinary differential equations using piecewise linear approximalions. MIT Laboralory for Computer Science, Tech. Rep. 416, March 1988.]]
[24]
Sussman, G.J., and St~.llman, R.M. Heuristic techniques in computer-aided circuit ar aly:;is. IEEE Trans. Circuits and Systems, CAS-22 (Nov. 1975), 857-865.]]
[25]
Sussman, G.J., and W: sdom. J. Numerical evidence that the motion of Pluto is chaotic. Sc, ence 241, 22 (Jul. 1988), 433-437.]]
[26]
Thompson, J.M.T. Co~nplex dynamics of compliant offshore structure:~. In Proceedings of the Royal Society of London A, 387 (1983), pp. 407-427.]]
[27]
Thompson, J.M.T., an t Stgwart, H.B. Nonlinear Dynamics and Chaos. Wiley, New York, 19~ 6.]]
[28]
Waltz, D.A. Generatir g s~.mantic descriptions from drawings of scenes with shadows. In The Psychology of Computer Vision. P.H. Winston, Ed. McGra,a-Hill, New York, 1985.]]
[29]
Witkin, A.P. Scale-sp~ ce filtering, IJCAI-83.]]
[30]
Yip, K. Extracting qualitative dynamics from numerical experimenl:s, AAAI 1987.]]
[31]
Yip, K. Generating glc hal behaviors using deep knowledge of local dynamics, AAAI 1988]]
[32]
Zahr., C.T. Graph-the~ret ical methods for detecting and describing Gestalt clusters. IEEE Frans. Comp. C-20 (Jan. 1971).]]
[33]
Zhao, F. An O(N) algorithm for three-dimensional N-body simulations. Tech. Rept. 995 MIT Artificial Intelligence Laboratory, 1987.]]

Cited By

View all
  • (2024)Smart city fire surveillance: A deep state‐space model with intelligent agentsIET Smart Cities10.1049/smc2.12086Online publication date: 21-Jun-2024
  • (2021)Realtime fire detection using CNN and search space navigationJournal of Real-Time Image Processing10.1007/s11554-021-01153-418:4(1331-1340)Online publication date: 1-Aug-2021
  • (2017)A conception of solving non-linear identification problems in intelligent control systems2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)10.1109/ICIEA.2017.8283071(1471-1476)Online publication date: Jun-2017
  • Show More Cited By

Recommendations

Reviews

Allan Blackman

The scope of this paper is a good deal narrower than its title would suggest. Although the authors touch on some larger AI issues, they focus mainly on programs they have developed that prepare, execute, and interpret numerical simulations in the physical sciences, especially in dynamics. The authors do not claim to have achieved any breakthroughs in AI technology; rather, they have applied current methods to their domain knowledge, resulting in expert systems of interest principally to certain scientists and engineers. This paper begins with a remarkable dialogue between an ocean engineer designing an offshore mooring tower for large ships and a computer assistant. The ability of the computer to understand what the engineer requires and to respond intelligently se<__?__Pub Caret>ems too good to be true. Of course, it is: the dialogue is fictional, offered as an illustration of what might someday exist. How much less intelligent than this ideal assistant are the authors' extant systems__?__ Only after working dynamicists have given them an extended trial will the verdict be in.

Access critical reviews of Computing literature here

Become a reviewer for Computing Reviews.

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Communications of the ACM
Communications of the ACM  Volume 32, Issue 5
May 1989
88 pages
ISSN:0001-0782
EISSN:1557-7317
DOI:10.1145/63485
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 May 1989
Published in CACM Volume 32, Issue 5

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)106
  • Downloads (Last 6 weeks)20
Reflects downloads up to 26 Sep 2024

Other Metrics

Citations

Cited By

View all
  • (2024)Smart city fire surveillance: A deep state‐space model with intelligent agentsIET Smart Cities10.1049/smc2.12086Online publication date: 21-Jun-2024
  • (2021)Realtime fire detection using CNN and search space navigationJournal of Real-Time Image Processing10.1007/s11554-021-01153-418:4(1331-1340)Online publication date: 1-Aug-2021
  • (2017)A conception of solving non-linear identification problems in intelligent control systems2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)10.1109/ICIEA.2017.8283071(1471-1476)Online publication date: Jun-2017
  • (2007)Communicable Knowledge in Automated System IdentificationComputational Discovery of Scientific Knowledge10.5555/1421425.1421429(17-43)Online publication date: 1-May-2007
  • (2007)Computer Graphics and Computer‐Aided Design Literature: A Keyword‐Indexed Bibliography for the Year 1989Computer Graphics Forum10.1111/j.1467-8659.1990.tb00402.x9:3(257-267)Online publication date: 9-Oct-2007
  • (2007)GUARANTEED COVERAGE VERSUS INTELLIGENT SAMPLING: A REPLY TO SACKS AND DOYLE1Computational Intelligence10.1111/j.1467-8640.1992.tb00360.x8:2(289-294)Online publication date: 2-Apr-2007
  • (2007)PROLEGOMENA TO ANY FUTURE QUALITATIVE PHYSICSComputational Intelligence10.1111/j.1467-8640.1992.tb00344.x8:2(187-209)Online publication date: 2-Apr-2007
  • (2007)QUALITATIVE PHYSICS: ALBATROSS OR EAGLE?1Computational Intelligence10.1111/j.1467-8640.1992.tb00343.x8:2(175-186)Online publication date: 2-Apr-2007
  • (2007)Identifying trajectory classes in dynamic tasks2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning10.1109/ADPRL.2007.368185(172-177)Online publication date: Apr-2007
  • (2007)Structure Discovery from Massive Spatial Data Sets Using Intelligent Simulation ToolsComputational Discovery of Scientific Knowledge10.1007/978-3-540-73920-3_8(158-174)Online publication date: 1-May-2007
  • Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Get Access

Login options

Full Access

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media