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gusl* explanation-based learning (EBL): popular in the 80s, nowadays very out of fashion (like most logic-based AI)
* the idea, I think, is that logical theories about a domain are refined based on data. The idea is maximize bias, i.e. use domain knowledge to create a strong prior for learning.
* related to ILP, except that the latter seems to focus more on concept discovery (though I really should look this up on AIMA)
* schema acquisition is similar to production compilation. (There are 2 separate connections between EBL and DOP: (1) Rens Bod's idea of modeling chunking of scientific derivations (2) Khalil Sima'an's PhD thesis)
* probabilistic EBL: published in 2006. Does it have potential to make EBL hot again?
People, papers and systems:
William W. Cohen (1992): Compiling prior knowledge into an explicit bias
Gerald DeJong (I like the two paragraphs on "What is EBL?". He has recent publications on EBL!)
Pat Langley - Unifying Themes in Empirical and Explanation-Based Learning
Paul Thagard's Bacon
Mike Pazzani and the Occam system
I love Dave Marshall's notes (on EBL), especially Learning II. His notes are high-level comparisons between different approaches. Google keeps pointing me to them.
* the idea, I think, is that logical theories about a domain are refined based on data. The idea is maximize bias, i.e. use domain knowledge to create a strong prior for learning.
* related to ILP, except that the latter seems to focus more on concept discovery (though I really should look this up on AIMA)
* schema acquisition is similar to production compilation. (There are 2 separate connections between EBL and DOP: (1) Rens Bod's idea of modeling chunking of scientific derivations (2) Khalil Sima'an's PhD thesis)
* probabilistic EBL: published in 2006. Does it have potential to make EBL hot again?
People, papers and systems:
William W. Cohen (1992): Compiling prior knowledge into an explicit bias
Gerald DeJong (I like the two paragraphs on "What is EBL?". He has recent publications on EBL!)
Pat Langley - Unifying Themes in Empirical and Explanation-Based Learning
Paul Thagard's Bacon
Mike Pazzani and the Occam system
I love Dave Marshall's notes (on EBL), especially Learning II. His notes are high-level comparisons between different approaches. Google keeps pointing me to them.