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Description
| - The development of control algorithms for tactical missions is being impeded by the significant gap between the way the artificial intelligence (A.I.) algorithms have been designed and validated and the way the robotic applications for (high-fidelity simulations) of tactical missions are being developed. On the one hand, we have low-level robotic simulators (or even robotic field testing). On the other hand, we have synthetic - usually mathematically defined - environments used for the design and formal testing of A.I. algorithms, e.g. randomly generated problem instances, synthetic graph structures, logical structures, regular grids, and similar. In this work, we are proposing a development process and a related software toolkit helping to narrow this gap. We use the simulation-aided development approach and tailor it towards the domain of tactical missions. The process is demonstrated on a specific application scenario, employing a general software toolkit Alite to glue together and adapt a number of A.I. algorithms, originally designed as highly abstract.
- The development of control algorithms for tactical missions is being impeded by the significant gap between the way the artificial intelligence (A.I.) algorithms have been designed and validated and the way the robotic applications for (high-fidelity simulations) of tactical missions are being developed. On the one hand, we have low-level robotic simulators (or even robotic field testing). On the other hand, we have synthetic - usually mathematically defined - environments used for the design and formal testing of A.I. algorithms, e.g. randomly generated problem instances, synthetic graph structures, logical structures, regular grids, and similar. In this work, we are proposing a development process and a related software toolkit helping to narrow this gap. We use the simulation-aided development approach and tailor it towards the domain of tactical missions. The process is demonstrated on a specific application scenario, employing a general software toolkit Alite to glue together and adapt a number of A.I. algorithms, originally designed as highly abstract. (en)
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Title
| - Multi-agent Simulation Approach to Development of Applications for Decentralized Tactical Missions
- Multi-agent Simulation Approach to Development of Applications for Decentralized Tactical Missions (en)
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skos:prefLabel
| - Multi-agent Simulation Approach to Development of Applications for Decentralized Tactical Missions
- Multi-agent Simulation Approach to Development of Applications for Decentralized Tactical Missions (en)
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skos:notation
| - RIV/68407700:21230/12:00191556!RIV13-MSM-21230___
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http://linked.open...avai/predkladatel
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/68407700:21230/12:00191556
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - multi-agent simulation; decentralized environment; software toolkit (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Komenda, Antonín
- Pěchouček, Michal
- Čáp, Michal
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http://linked.open...n/vavai/riv/zamer
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http://localhost/t...ganizacniJednotka
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