Abstract
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.
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Hodicky, J., Prochazka, D. (2020). Modelling and Simulation Paradigms to Support Autonomous System Operationalization. In: Mazal, J., Fagiolini, A., Vasik, P. (eds) Modelling and Simulation for Autonomous Systems. MESAS 2019. Lecture Notes in Computer Science(), vol 11995. Springer, Cham. https://doi.org/10.1007/978-3-030-43890-6_29
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