Case-Based Merging Techniques in OAKPLAN
Artificial Intelligence
2013-12-05 v1
Abstract
Case-based planning can take advantage of former problem-solving experiences by storing in a plan library previously generated plans that can be reused to solve similar planning problems in the future. Although comparative worst-case complexity analyses of plan generation and reuse techniques reveal that it is not possible to achieve provable efficiency gain of reuse over generation, we show that the case-based planning approach can be an effective alternative to plan generation when similar reuse candidates can be chosen.
Cite
@article{arxiv.1312.1146,
title = {Case-Based Merging Techniques in OAKPLAN},
author = {Anna Roubíčková and Ivan Serina},
journal= {arXiv preprint arXiv:1312.1146},
year = {2013}
}
Comments
preliminary version