ESBL: An integrated method for learning from partial information

Research output: Contribution to journalArticlepeer-review


A general framework for representing incomplete domain knowledge through the use of predicate variables is given. Explanation-based learning (EBL) and similarity-based learning (SBL) are reinterpreted in terms of Horn-clause resolution. It is shown that, thus reinterpreted, EBL and SBL can be naturally integrated to produce an "abductive" method for refining incomplete domain knowledge.

Original languageEnglish
Pages (from-to)323-343
Number of pages21
JournalAnnals of Mathematics and Artificial Intelligence
Issue number3-4
StatePublished - Sep 1991


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