Qualitative modeling of physical systems in AI research

Peter Struss

doi:10.1007/3-540-57322-4_2

Qualitative modeling of physical systems in AI research

Peter Struss

Informatics 25 - Chair of Data Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Much of human reasoning about the physical world, in every-day life as well as in science and engineering, is performed at a conceptual and non-quantitative level. Providing formalisms, languages, and systems for the acquisition and use of qualitative models is the goal of a very active research area in Artificial Intelligence. In this introductory survey, we discuss motivations for this research, illustrate different approaches by presenting some “classical” systems, point out some issues in relation to mathematics, and provide some references to current work in research and applications.

Original language	English
Title of host publication	Artificial Intelligence and Symbolic Mathematical Computing - International Conference AISMC- 1, Proceedings
Editors	Jacques Calmet, John A. Campbell
Publisher	Springer Verlag
Pages	20-49
Number of pages	30
ISBN (Print)	9783540573227
DOIs	https://doi.org/10.1007/3-540-57322-4_2
State	Published - 1993
Event	1st International Conference on Artificial Intelligence and Symbolic Mathematical Computing, AISMC 1992 - Karlsruhe, Germany Duration: 3 Aug 1992 → 6 Aug 1992

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	737 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st International Conference on Artificial Intelligence and Symbolic Mathematical Computing, AISMC 1992
Country/Territory	Germany
City	Karlsruhe
Period	3/08/92 → 6/08/92

Access to Document

10.1007/3-540-57322-4_2

Cite this

Struss, P. (1993). Qualitative modeling of physical systems in AI research. In J. Calmet, & J. A. Campbell (Eds.), Artificial Intelligence and Symbolic Mathematical Computing - International Conference AISMC- 1, Proceedings (pp. 20-49). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 737 LNCS). Springer Verlag. https://doi.org/10.1007/3-540-57322-4_2

Struss, Peter. / Qualitative modeling of physical systems in AI research. Artificial Intelligence and Symbolic Mathematical Computing - International Conference AISMC- 1, Proceedings. editor / Jacques Calmet ; John A. Campbell. Springer Verlag, 1993. pp. 20-49 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{4c9a141cb37043b4b901452088ae587f,

title = "Qualitative modeling of physical systems in AI research",

abstract = "Much of human reasoning about the physical world, in every-day life as well as in science and engineering, is performed at a conceptual and non-quantitative level. Providing formalisms, languages, and systems for the acquisition and use of qualitative models is the goal of a very active research area in Artificial Intelligence. In this introductory survey, we discuss motivations for this research, illustrate different approaches by presenting some “classical” systems, point out some issues in relation to mathematics, and provide some references to current work in research and applications.",

author = "Peter Struss",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1993.; 1st International Conference on Artificial Intelligence and Symbolic Mathematical Computing, AISMC 1992 ; Conference date: 03-08-1992 Through 06-08-1992",

year = "1993",

doi = "10.1007/3-540-57322-4_2",

language = "English",

isbn = "9783540573227",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "20--49",

editor = "Jacques Calmet and Campbell, {John A.}",

booktitle = "Artificial Intelligence and Symbolic Mathematical Computing - International Conference AISMC- 1, Proceedings",

}

Struss, P 1993, Qualitative modeling of physical systems in AI research. in J Calmet & JA Campbell (eds), Artificial Intelligence and Symbolic Mathematical Computing - International Conference AISMC- 1, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 737 LNCS, Springer Verlag, pp. 20-49, 1st International Conference on Artificial Intelligence and Symbolic Mathematical Computing, AISMC 1992, Karlsruhe, Germany, 3/08/92. https://doi.org/10.1007/3-540-57322-4_2

Qualitative modeling of physical systems in AI research. / Struss, Peter.
Artificial Intelligence and Symbolic Mathematical Computing - International Conference AISMC- 1, Proceedings. ed. / Jacques Calmet; John A. Campbell. Springer Verlag, 1993. p. 20-49 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 737 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Qualitative modeling of physical systems in AI research

AU - Struss, Peter

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 1993.

PY - 1993

Y1 - 1993

N2 - Much of human reasoning about the physical world, in every-day life as well as in science and engineering, is performed at a conceptual and non-quantitative level. Providing formalisms, languages, and systems for the acquisition and use of qualitative models is the goal of a very active research area in Artificial Intelligence. In this introductory survey, we discuss motivations for this research, illustrate different approaches by presenting some “classical” systems, point out some issues in relation to mathematics, and provide some references to current work in research and applications.

AB - Much of human reasoning about the physical world, in every-day life as well as in science and engineering, is performed at a conceptual and non-quantitative level. Providing formalisms, languages, and systems for the acquisition and use of qualitative models is the goal of a very active research area in Artificial Intelligence. In this introductory survey, we discuss motivations for this research, illustrate different approaches by presenting some “classical” systems, point out some issues in relation to mathematics, and provide some references to current work in research and applications.

UR - http://www.scopus.com/inward/record.url?scp=84961375814&partnerID=8YFLogxK

U2 - 10.1007/3-540-57322-4_2

DO - 10.1007/3-540-57322-4_2

M3 - Conference contribution

AN - SCOPUS:84961375814

SN - 9783540573227

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 20

EP - 49

BT - Artificial Intelligence and Symbolic Mathematical Computing - International Conference AISMC- 1, Proceedings

A2 - Calmet, Jacques

A2 - Campbell, John A.

PB - Springer Verlag

T2 - 1st International Conference on Artificial Intelligence and Symbolic Mathematical Computing, AISMC 1992

Y2 - 3 August 1992 through 6 August 1992

ER -

Struss P. Qualitative modeling of physical systems in AI research. In Calmet J, Campbell JA, editors, Artificial Intelligence and Symbolic Mathematical Computing - International Conference AISMC- 1, Proceedings. Springer Verlag. 1993. p. 20-49. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-57322-4_2

Qualitative modeling of physical systems in AI research

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this