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Conformant Planning with Static Causal Laws and Negation as Failure: Decomposition of the ASP Approach

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00227821" target="_blank" >RIV/68407700:21230/14:00227821 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Conformant Planning with Static Causal Laws and Negation as Failure: Decomposition of the ASP Approach

  • Original language description

    In recent years, we have seen a few attempts to use the Answer Set Programming (ASP) to solve the problem of conformant planning with the support for causal laws and negation as failure. Typically, the whole planning domain is encoded into a large ASP meta-program expressing what holds and which actions should be executed in all the time steps of a resulting plan. Answer sets of this meta-program then represent all the possible plans. Since the complexity of answer set computation is exponential in sizeof input, we propose a technique of dividing it into several smaller meta-programs - one for every state transition. Actual plan finding can then be outsourced to a graph-search algorithm. This method increases the performance of planning with ASP semantics and allows us to produce considerably longer plans. After discussing the worst-case complexity of both approaches, we introduce the prototype ASP planner GRASP that employs our suggested technique and provide the experimental compari

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Artificial Intelligence

  • ISSN

    0974-0635

  • e-ISSN

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    IN - INDIA

  • Number of pages

    12

  • Pages from-to

    48-59

  • UT code for WoS article

  • EID of the result in the Scopus database