Using Data-Driven Simulation for Analysis of Maritime Piracy
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Using Data-Driven Simulation for Analysis of Maritime Piracy
Original language description
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
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Prediction and Recognition of Piracy Efforts Using Collaborative Human-Centric Information Systems
ISBN
978-1-61499-200-4
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
109-116
Publisher name
IOS Press
Place of publication
Amsterdam
Event location
Salamanca
Event date
Sep 19, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—