Deception in Networks of Mobile Sensing Agents
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00170625" target="_blank" >RIV/68407700:21230/10:00170625 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Deception in Networks of Mobile Sensing Agents
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ME09053" target="_blank" >ME09053: Adversarial planning in complex dynamic domains</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
AAMAS 2010: Proceedings of the Ninth International Conference on Autonomous Agents and Multi Agent Systems
ISBN
978-0-9826571-1-9
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
Computer Science Press
Place of publication
Dublin
Event location
Toronto
Event date
May 10, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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