Abstract
We investigate the utility of explanation-based learning in recursive domain theories and examine the cost of using macro-rules in these theories. The compilation options in a recursive domain theory range from constructing partial unwindings of the recursive rules to converting recursive rules into iterative ones. We compare these options against using appropriately ordered rules in the original domain theory and demonstrate that unless we make very strong assumptions about the nature of the distribution of future problems, it is not profitable to form recursive macro-rules via explanation-based learning in these domains.
Original language | English |
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Title of host publication | Proceedings of the 8th National Conference on Artificial Intelligence, AAAI 1990 |
Publisher | AAAI Press |
Pages | 942-949 |
Number of pages | 8 |
ISBN (Electronic) | 026251057X, 9780262510578 |
State | Published - 1990 |
Externally published | Yes |
Event | 8th National Conference on Artificial Intelligence, AAAI 1990 - Boston, United States Duration: 29 Jul 1990 → 3 Aug 1990 |
Publication series
Name | Proceedings of the 8th National Conference on Artificial Intelligence, AAAI 1990 |
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Conference
Conference | 8th National Conference on Artificial Intelligence, AAAI 1990 |
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Country/Territory | United States |
City | Boston |
Period | 29/07/90 → 3/08/90 |
Bibliographical note
Publisher Copyright:Copyright © 1990, AAAI (www.aaai.org). All rights reserved.