Maintaining Ad-Hoc Communication Network in Area Protection Scenarios with Adversarial Agents
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F18%3A00321311" target="_blank" >RIV/68407700:21240/18:00321311 - isvavai.cz</a>
Result on the web
<a href="https://sites.google.com/site/flairs31conference/" target="_blank" >https://sites.google.com/site/flairs31conference/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Maintaining Ad-Hoc Communication Network in Area Protection Scenarios with Adversarial Agents
Original language description
We address a problem of area protection in graph-based scenarios with multiple mobile agents where connectivity is maintained among agents to ensure they can communicate. The problem consists of two adversarial teams of agents that move in an undirected graph shared by both teams. Agents are placed in vertices of the graph; at most one agent can occupy a vertex; and they can move into adjacent vertices in a conflict free way. Teams have asymmetric goals: the aim of one team - attackers - is to invade into given area while the aim of the opponent team - defenders - is to protect the area from being entered by attackers by occupying selected vertices. The team of defenders need to maintain connectivity of vertices occupied by its own agents in a visibility graph. The visibility graph models possibility of communication between pairs of vertices.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference
ISBN
978-1-57735-787-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
348-353
Publisher name
AAAI Press
Place of publication
Menlo Park, California
Event location
Melbourne, FL
Event date
May 21, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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