TY  - BOOK
AU  - Veloso,Manuela M.
ED  - SpringerLink (Online service)
TI  - Planning and Learning by Analogical Reasoning
T2  - Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence,
SN  - 9783540491095
AV  - QA75.5-76.95 
U1  - 006 23
PY  - 1994///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Electronic data processing
KW  - Computer Science
KW  - Computing Methodologies
N1  - Overview -- The problem solver -- Generation of problem solving cases -- Case storage: Automated indexing -- Efficient case retrieval -- Analogical replay -- Empirical results -- Related work -- Conclusion
N2  - This research monograph describes the integration of analogical and case-based reasoning into general problem solving and planning as a method of speedup learning. The method, based on derivational analogy, has been fully implemented in PRODIGY/ANALOGY and proven in practice to be amenable to scaling up, both in terms of domain and problem complexity. In this work, the strategy-level learning process is cast for the first time as the automation of the complete cycle of construction, storing, retrieving, and flexibly reusing problem solving experience. The algorithms involved are presented in detail and numerous examples are given. Thus the book addresses researchers as well as practitioners
UR  - http://dx.doi.org/10.1007/3-540-58811-6
ER  -