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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.
  • 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. (en)
Title
  • Game-theoretic Approach to Adversarial Plan Recognition
  • Game-theoretic Approach to Adversarial Plan Recognition (en)
skos:prefLabel
  • Game-theoretic Approach to Adversarial Plan Recognition
  • Game-theoretic Approach to Adversarial Plan Recognition (en)
skos:notation
  • RIV/68407700:21230/12:00200161!RIV13-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP202/12/2054), V
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
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  • 137700
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/12:00200161
http://linked.open...riv/jazykVysledku
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  • Monte-Carlo tree search; Utility-based plan recognition (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [B8FD574F1E6B]
http://linked.open...v/mistoKonaniAkce
  • Montpellier
http://linked.open...i/riv/mistoVydani
  • Amsterdam
http://linked.open...i/riv/nazevZdroje
  • ECAI 2012 - 20th European Conference on Artificial Intelligence
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...iv/tvurceVysledku
  • Bošanský, Branislav
  • Lisý, Viliam
  • Pěchouček, Michal
  • Stiborek, Jan
  • Píbil, Radek
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 0922-6389
number of pages
http://bibframe.org/vocab/doi
  • 10.3233/978-1-61499-098-7-546
http://purl.org/ne...btex#hasPublisher
  • IOS Press
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  • 978-1-61499-097-0
http://localhost/t...ganizacniJednotka
  • 21230
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