Modelling and Simulation Paradigms to Support Autonomous System Operationalization

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG38__%2F20%3A00537002" target="_blank" >RIV/60162694:G38__/20:00537002 - isvavai.cz</a>
Alternative codes found
RIV/60162694:G43__/20:00537002
Result on the web
<a href="https://www.springer.com/series/558" target="_blank" >https://www.springer.com/series/558</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-43890-6_29" target="_blank" >10.1007/978-3-030-43890-6_29</a>

Result language
angličtina
Original language name
Modelling and Simulation Paradigms to Support Autonomous System Operationalization
Original language description
Military Autonomous Systems are one of the critical elements in the current and future operations. System with a level of autonomy is known in the military for more than 50 years. However fully autonomous systems have not been yet fully operationalized. Taken as a military capability, autonomous system must be analyzed, designed and implemented to reflect all Doctrine, Organization, Training, Materiel, Leadership, Personnel, Facilities, Interoperability and Information (DOTMLPFI) aspects. The first part of the paper describes autonomous system current state of the art and challenges following DOTMPLFI classification. Secondly, the modeling and simulation paradigms, Discrete Event Simulation, Agent Based Modelling and System Dynamics are proposed to be the right candidate for each DOTMLPFI aspects of AS capability development. There are two Use Cases, the first one based on Agent Based Modeling paradigm and the second one based on System Dynamics paradigm, both demonstrating advantages and drawbacks of a single modelling and simulation paradigm. The last part of the paper discusses differences, and mutual support of these two paradigms in the context of AS capability development.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
978-303043889-0
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
11
Pages from-to
361-371
Publisher name
Springer
Place of publication
Cham
Event location
Palermo, the Republic of Italy
Event date
Oct 29, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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