Using Earley Parser for Recognizing Totally Ordered Hierarchical Plans

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10472603" target="_blank" >RIV/00216208:11320/23:10472603 - isvavai.cz</a>

Result on the web

<a href="https://ebooks.iospress.nl/volumearticle/64401" target="_blank" >https://ebooks.iospress.nl/volumearticle/64401</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3233/FAIA230469" target="_blank" >10.3233/FAIA230469</a>

Result language

angličtina

Original language name

Using Earley Parser for Recognizing Totally Ordered Hierarchical Plans

Original language description

Earley Parser is a top-down parser proposed for context-free grammars and used, for example, in the grammar constraint. Parsing trees of context-free grammars are very close to task decomposition trees used in hierarchical planning, specifically when the actions are totally ordered. This paper suggests using the Earley Parser to recognize totally ordered hierarchical plans. Given a sequence of actions - a prefix of the plan - and a task decomposition model, the plan recognition problem asks which task decomposes to a plan containing the given plan prefix. We will show that the Earley parser significantly increases the speed of plan recognition compared to the existing bottom-up parsing-based plan recognizer. The Earley parser&apos;s performance is also on a par with the planning-based plan recognizer despite not using any planning heuristics.

Czech name

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Czech description

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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)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

ECAI 2023

ISBN

978-1-64368-437-6

ISSN

0922-6389

e-ISSN

1879-8314

Number of pages

8

Pages from-to

1819-1826

Publisher name

IOS Press

Place of publication

Neuveden

Event location

Kraków, Poland

Event date

Sep 30, 2023

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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