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  • In this study we consider deception by an adversary, which is relevant in many (military) applications. The adversary is expected to use deception to prevent the sensor team from performing its tasks. We employ a game theoretic model to analyze the expected strategy of the adversary and find the best response. We represent a Mobile Sensor Team problem using the Distributed Constraint Optimization Problem (DCOP) framework. We propose an optimal method for the selection of a position of a single agent facing a deceptive adversary. This method serves as a heuristic for agents to select their position in a full scale problem with multiple agents in a large area. Our empirical study demonstrates the success of our model as compared with existing models in the presence of deceptions.
  • In this study we consider deception by an adversary, which is relevant in many (military) applications. The adversary is expected to use deception to prevent the sensor team from performing its tasks. We employ a game theoretic model to analyze the expected strategy of the adversary and find the best response. We represent a Mobile Sensor Team problem using the Distributed Constraint Optimization Problem (DCOP) framework. We propose an optimal method for the selection of a position of a single agent facing a deceptive adversary. This method serves as a heuristic for agents to select their position in a full scale problem with multiple agents in a large area. Our empirical study demonstrates the success of our model as compared with existing models in the presence of deceptions. (en)
Title
  • Deception in Networks of Mobile Sensing Agents
  • Deception in Networks of Mobile Sensing Agents (en)
skos:prefLabel
  • Deception in Networks of Mobile Sensing Agents
  • Deception in Networks of Mobile Sensing Agents (en)
skos:notation
  • RIV/68407700:21230/10:00170625!RIV11-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ME09053), S, Z(MSM6840770038)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 253033
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/10:00170625
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Deception, Mobile Sensor Network, Robust Optimization, Distributed Constraint Optimization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [FF3C5B33AE69]
http://linked.open...v/mistoKonaniAkce
  • Toronto
http://linked.open...i/riv/mistoVydani
  • Dublin
http://linked.open...i/riv/nazevZdroje
  • AAMAS 2010: Proceedings of the Ninth International Conference on Autonomous Agents and Multi Agent Systems
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Lisý, Viliam
  • Pěchouček, Michal
  • Sycara, K.
  • Zivan, R.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Computer Science Press
https://schema.org/isbn
  • 978-0-9826571-1-9
http://localhost/t...ganizacniJednotka
  • 21230
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