Abstract
Past work in Intelligent Computer-Aided Instruction has demonstrated that incorrect problem-solving performance can be represented as variations on correct problem-solving performance [63, 347, 42]. Subsequent work [43, 201, 348] attempts to automate the discovery of incorrect problem-solving methods when given correct methods. The work described here takes two different approaches to inferring incorrect problem solving operators. The first system, INFER*, discovers new domain rules by applying known rules in reverse, proposing new rules to fill in missing steps. A second system, MALGEN, applies perturbation operators to known rules to create new rules.
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© 1986 Kluwer Academic Publishers
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Hirsh, H., Sleeman, D. (1986). Inference of Incorrect Operators. In: Machine Learning. The Kluwer International Series in Engineering and Computer Science, vol 12. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-2279-5_22
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DOI: https://doi.org/10.1007/978-1-4613-2279-5_22
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-9406-1
Online ISBN: 978-1-4613-2279-5
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