Model-lite case-based planning

Hankz Hankui Zhuo, Tuan Nguyen, Subbarao Kambhampati

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

There is increasing awareness in the planning community that depending on complete models impedes the applicability of planning technology in many real world domains where the burden of specifying complete domain models is too high. In this paper, we consider a novel solution for this challenge that combines generative planning on incomplete domain models with a library of plan cases that are known to be correct. While this was arguably the original motivation for case-based planning, most existing case-based planners assume (and depend on) from-scratch planners that work on complete domain models. In contrast, our approach views the plan generated with respect to the incomplete model as a "skeletal plan" and augments it with directed mining of plan fragments from library cases. We will present the details of our approach and present an empirical evaluation of our method in comparison to a state-of-the-art case-based planner that depends on complete domain models.

Original languageEnglish (US)
Title of host publicationProceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013
Pages1077-1083
Number of pages7
StatePublished - Dec 1 2013
Event27th AAAI Conference on Artificial Intelligence, AAAI 2013 - Bellevue, WA, United States
Duration: Jul 14 2013Jul 18 2013

Publication series

NameProceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013

Other

Other27th AAAI Conference on Artificial Intelligence, AAAI 2013
CountryUnited States
CityBellevue, WA
Period7/14/137/18/13

ASJC Scopus subject areas

  • Artificial Intelligence

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    Zhuo, H. H., Nguyen, T., & Kambhampati, S. (2013). Model-lite case-based planning. In Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013 (pp. 1077-1083). (Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013).