Improved Filtering for the QSIM Algorithm

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 15, Issue 9, 1993, Pages 967-971

  Say, A C Cem ^a   Kuru, Selahattin ^a  

^a BOGAZICI UNIVERSITY   (Turkey)

Author keywords

arithmetic; Artificial intelligence; constraint filtering; qualitative; qualitative reasoning; qualitative simulation

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL COMPLEXITY; CONSTRAINT THEORY; DIGITAL ARITHMETIC; DIGITAL FILTERS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; SPURIOUS SIGNAL NOISE;

CONSTRAINT FILTERING; QSIM ALGORITHM; QUALITATIVE ARITHMETIC; QUALITATIVE REASONING; QUALITATIVE SIMULATION;

SIGNAL FILTERING AND PREDICTION;

EID: 0027656964     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.232085     Document Type: Article

References (6)

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3. B. Kuipers and C. Chiu, “Taming intractible branching in qualitative simulation,” in Proc. Tenth Int. Joint Conf. Artificial Intell, (Los Altos, CA), 1987 pp. 1079–1085.
4. B. Kuipers, C. Chiu, D. T. Dalle Molle, and D. Throop, “Higher-order derivative constraints in qualitative simulation,” Univ. of Texas at Austin, Artificial Intell. Lab., AI TR 89–117, Oct. 1989.
5. W. W. Lee and B. J. Kuipers, “Non-intersection of trajectories in qualitative phase space: A global constraint for qualitative simulation,” in Proc. Seventh Nat. Conf. Artificial Intell (Los Altos, CA), 1988 pp. 286–291.
6. A. C. C. Say, “Qualitative system identification,” Ph.D. Dissertation, Bogazici Univ., Comput. Eng. Dept., Istanbul, 1992.