Name
Title | ||
|---|---|---|
A domain-independent system for case-based task decomposition without domain theories |
Abstract | ||
|---|---|---|
We propose using domain-independent task decomposition techniques for situations in which cases are the sole or the main source for domain knowledge. Our work is motivated by project planning domains, where hierarchical cases are readily available, but neither a planning domain theory nor case adaptation knowledge is available. We present DInCaD (Domain-Independent System for Case-Based Task Decomposition), a system that encompasses case retrieval, refinement, and reuse, following from the idea of reusing generalized cases to solve new problems. DInCaD consists of a case refinement procedure that reduces case over-generalization, and a similarity criterion that takes advantage of the refinement to improve case retrieval precision. We will analyze the properties of the system, and present an empirical evaluation. |
Year | Venue | Keywords |
|---|---|---|
2005 | AAAI | project planning domain,hierarchical case,case refinement procedure,planning domain theory,generalized case,case over-generalization,case adaptation knowledge,case-based task decomposition,case retrieval precision,domain-independent system,domain knowledge,encompasses case retrieval,domain theory,project planning |
Field | DocType | ISBN |
Domain engineering,Domain knowledge,Computer science,Simulation,Reuse,Similarity criterion,Domain theory,Theoretical computer science,Project planning,Artificial intelligence,Machine learning | Conference | 1-57735-236-x |
Citations | PageRank | References |
9 | 0.57 | 13 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ke Xu | 1 | 1392 | 171.73 |
| Hector Muñoz-Avila | 2 | 522 | 44.02 |