Inner entanglements: Narrowing the search in classical planning by problem reformulation. (22nd March 2019)
- Record Type:
- Journal Article
- Title:
- Inner entanglements: Narrowing the search in classical planning by problem reformulation. (22nd March 2019)
- Main Title:
- Inner entanglements: Narrowing the search in classical planning by problem reformulation
- Authors:
- Chrpa, Lukáš
Vallati, Mauro
McCluskey, Thomas Leo - Abstract:
- Abstract: In the field of automated planning, the central research focus is on domain‐independent planning engines that accept planning tasks (domain models and problem descriptions) in a description language, such as Planning Domain Definition Language, and return solution plans. The performance of planning engines can be improved by gathering additional knowledge about specific planning domain models/tasks (such as control rules) that can narrow the search for a solution plan. Such knowledge is often learned from training plans and solutions of simple tasks. Using techniques to reformulate the given planning task to incorporate additional knowledge, while keeping to the same input language, allows to exploit off‐the‐shelf planning engines. In this paper, we present inner entanglements that are relations between pairs of operators and predicates that represent the exclusivity of predicate achievement or requirement between the given operators. Inner entanglements can be encoded into a planner's input language by transforming the original planning task; hence, planning engines can exploit them. The contribution of this paper is to provide an in‐depth analysis and evaluation of inner entanglements, covering theoretical aspects such as complexity results, and an extensive empirical study using International Planning Competition benchmarks and state‐of‐the‐art planning engines.
- Is Part Of:
- Computational intelligence. Volume 35:Number 2(2019)
- Journal:
- Computational intelligence
- Issue:
- Volume 35:Number 2(2019)
- Issue Display:
- Volume 35, Issue 2 (2019)
- Year:
- 2019
- Volume:
- 35
- Issue:
- 2
- Issue Sort Value:
- 2019-0035-0002-0000
- Page Start:
- 395
- Page End:
- 429
- Publication Date:
- 2019-03-22
- Subjects:
- classical planning -- knowledge representation -- machine learning -- problem reformulation
Artificial intelligence -- Periodicals
Computational linguistics -- Periodicals
006.3 - Journal URLs:
- http://www.blackwellpublishing.com/journal.asp?ref=0824-7935&site=1 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/coin.12203 ↗
- Languages:
- English
- ISSNs:
- 0824-7935
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3390.595000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 10080.xml