Using Data-Driven Simulation for Analysis of Maritime Piracy
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00205238" target="_blank" >RIV/68407700:21230/13:00205238 - isvavai.cz</a>
Výsledek na webu
<a href="http://www.ebooks.iospress.nl/publication/32697" target="_blank" >http://www.ebooks.iospress.nl/publication/32697</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3233/978-1-61499-201-1-109" target="_blank" >10.3233/978-1-61499-201-1-109</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Using Data-Driven Simulation for Analysis of Maritime Piracy
Popis výsledku v původním jazyce
Agent-based modelling has gained popularity as a useful technique for obtaining insights into the behaviour of complex adaptive systems in various fields, including economics, sociology and ecology. With its complex interactions between routes, schedulesand engagement strategies, transit through piracy-affected waters is a problem very well suited for the application of this powerful modelling approach. Within the AgentC project, we have been developing a data-driven, agent-based model of global maritime traffic explicitly accounting for the effects of maritime piracy. The model employs finite state machines to represent the behaviour of merchant, pirate and naval vessels. It accurately replicates global shipping patterns and approximates real-world distribution of pirate attacks. By conducting and analysing results from thousands of simulation runs, the developed model and related tools allow gaining qualitative and quantitative insights into complex relationships governing piracy ri
Název v anglickém jazyce
Using Data-Driven Simulation for Analysis of Maritime Piracy
Popis výsledku anglicky
Agent-based modelling has gained popularity as a useful technique for obtaining insights into the behaviour of complex adaptive systems in various fields, including economics, sociology and ecology. With its complex interactions between routes, schedulesand engagement strategies, transit through piracy-affected waters is a problem very well suited for the application of this powerful modelling approach. Within the AgentC project, we have been developing a data-driven, agent-based model of global maritime traffic explicitly accounting for the effects of maritime piracy. The model employs finite state machines to represent the behaviour of merchant, pirate and naval vessels. It accurately replicates global shipping patterns and approximates real-world distribution of pirate attacks. By conducting and analysing results from thousands of simulation runs, the developed model and related tools allow gaining qualitative and quantitative insights into complex relationships governing piracy ri
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
IN - Informatika
OECD FORD obor
—
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Prediction and Recognition of Piracy Efforts Using Collaborative Human-Centric Information Systems
ISBN
978-1-61499-200-4
ISSN
—
e-ISSN
—
Počet stran výsledku
8
Strana od-do
109-116
Název nakladatele
IOS Press
Místo vydání
Amsterdam
Místo konání akce
Salamanca
Datum konání akce
19. 9. 2011
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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