Strengthening Potential Heuristics with Mutexes and Disambiguations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00341808" target="_blank" >RIV/68407700:21230/20:00341808 - isvavai.cz</a>
Result on the web
<a href="https://aaai.org/ojs/index.php/ICAPS/article/view/6653" target="_blank" >https://aaai.org/ojs/index.php/ICAPS/article/view/6653</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Strengthening Potential Heuristics with Mutexes and Disambiguations
Original language description
Potential heuristics assign a numerical value (potential) to each fact and compute the heuristic value for a given state as the sum of these potentials. A mutex is an invariant stating that a certain combination of facts cannot be part of any reachable state. In this paper, we use mutexes to improve potential heuristics in two ways. First, we show that the mutex-based disambiguations of the goal and preconditions of operators leads to a less constrained linear program yielding stronger heuristics. Second, we utilize mutexes in a construction of new optimization functions based on counting of the number of states containing certain sets of facts. The experimental evaluation shows a significant increase in the number of solved tasks.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling
ISBN
978-1-57735-824-4
ISSN
2334-0835
e-ISSN
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Number of pages
10
Pages from-to
124-133
Publisher name
AAAI Press
Place of publication
Menlo Park
Event location
Nancy
Event date
Oct 26, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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