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Game-theoretic Approach to Adversarial Plan Recognition

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00200161" target="_blank" >RIV/68407700:21230/12:00200161 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.booksonline.iospress.nl/publication/7030" target="_blank" >http://www.booksonline.iospress.nl/publication/7030</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3233/978-1-61499-098-7-546" target="_blank" >10.3233/978-1-61499-098-7-546</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Game-theoretic Approach to Adversarial Plan Recognition

  • Original language description

    We argue that the problem of adversarial plan recognition, where the observed agent actively tries to avoid detection, should be modeled in the game theoretic framework. We define the problem as an imperfect-information extensive-form game between the observer and the observed agent. We propose a novel algorithm that approximates the optimal solution in the game using Monte-Carlo sampling. The experimental evaluation is performed on a syn- thetic domain inspired by a network security problem. The proposed method produces significantly better results than several simple baselines on a practically large domain.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP202%2F12%2F2054" target="_blank" >GAP202/12/2054: Security Games in Extensive Form</a><br>

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2012

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    ECAI 2012 - 20th European Conference on Artificial Intelligence

  • ISBN

    978-1-61499-097-0

  • ISSN

    0922-6389

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    546-551

  • Publisher name

    IOS Press

  • Place of publication

    Amsterdam

  • Event location

    Montpellier

  • Event date

    Aug 27, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article