APPROXIMATION IN MATHEMATICAL DOMAINS

IJCAI International Joint Conference on Artificial Intelligence

Volumn 1, Issue , 1987, Pages 239-241

  Bennett, Scott W ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

APPROXIMATION METHODS; DOMAIN PROBLEMS; DOMAIN THEORY; EXPLANATION BASED LEARNING; GENERALISATION; QUALITATIVE REASONING; QUANTITATIVE APPROACH; QUANTITATIVE REASONING; REAL-WORLD; WORLD KNOWLEDGE;

APPROXIMATION THEORY;

EID: 85167869313     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. T. M. Mitchell, R. Keller and S. Kedar-Cabelli, "Lxplanation-Based Generalization: A Unifying View," Machine learning /, 1 (January 1986), pp. 47-80.
2. G. F. DeJong and R. J. Mooney, "Explanation-Based Learning: An Alternative View," Machine Learning 1, 2 (April 1986), pp 145 176.
3. R. J. Mooney and S. W. Bennett, "A Domain Independent Explanation Based Generalize!," Proc. AAAI-86, .
4. S. A. Rajamoney and G. E. DeJong, "The Classification, Detection and Handling of Imperfect Theory Problems," Proc. IJCA1-87, .
5. S. A. Chien, "Extending Explanation-Based Learning. Failure-Driven Schema Refinement," Proc. IEEE Conf, on AI Applications 1987. . .
6. J. de Kleer, "Qualitative and Quantitative Reasoning in Classical Mechanics," TR 352. MIT Al Lab, Dec. 1975.
7. R. Doyle, "Constructing and Refining Causal Explanations from an Inconsistent Domain Theory," Proc. AAAl-86, .
8. P. V. Tadepalli, "Learning in Intractable Domains," Proc. ML85, . 9. O. Raiman, "Order of Magnitude Reasoning," Proc. AAA 1-86, .
9. R. Simmons, " "Commonsense" Arithmetic Reasoning," Proc. AAAI-86, .
10. J. N. Butler, Ionic Equilibrium A Mathematical Approach, Addison-Wesley, Reading, Massachusetts, 1964.
11. J. W. Shavlik and G. F. DeJong, "Building a Computer Model of Learning Classical Mechanics," Prcn . COGSCI-85, .