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Automated Acquisition of Control Knowledge for Classical Planners

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10407358" target="_blank" >RIV/00216208:11320/20:10407358 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21230/20:00341714

  • Result on the web

    <a href="https://doi.org/10.5220/0009175209590966" target="_blank" >https://doi.org/10.5220/0009175209590966</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5220/0009175209590966" target="_blank" >10.5220/0009175209590966</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automated Acquisition of Control Knowledge for Classical Planners

  • Original language description

    Attributed transition-based domain control knowledge (ATB-DCK) has been proposed as a simple way to express expected (desirable) sequences of actions in a plan with constraints going beyond physics of the en- vironment. This knowledge can be compiled to Planning Domain Description Language (PDDL) to enhance an existing planning domain model and hence any classical planner can exploit it. In the paper, we propose a method to automatically acquire this control knowledge from example plans. First, a regular expression rep- resenting provided plans is found. Then, this expression is extended with attributes expressing extra relations among the actions and hence going beyond regular languages. The final expression is then translated, through ATB-DCK, to PDDL to enhance a planning domain model. We will empirically demonstrate that such an enhanced domain model improves efficiency of existing state-of-the-art planning engines.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) - Volume 2

  • ISBN

    978-989-758-395-7

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    959-966

  • Publisher name

    SCITEPRESS – Science and Technology Publications, Lda.

  • Place of publication

    SETUBAL

  • Event location

    Valletta, Malta

  • Event date

    Feb 22, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000570769000109