Abstract
Explanatory Schema Acquisition is a form of learning by untutored observation. It can be used to automatically acquire problem solving schemata. The goal of this research is to formalize explanatory schema acquisition in a domain-independent fashion. To do so we are comparing explanatory schema acquisition systems implemented for a number of different concrete domains. This paper presents a brief overview of the learning approach. Five other papers in these proceedings, by Mooney, O’Rorke, Rajamoney, Segre, and Shavlik, describe the individual systems that we have been working on.
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© 1986 Kluwer Academic Publishers
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Dejong, G. (1986). A Brief Overview of Explanatory Schema Acquisition. 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_11
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DOI: https://doi.org/10.1007/978-1-4613-2279-5_11
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-9406-1
Online ISBN: 978-1-4613-2279-5
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