PIOVRA - Liophant Simulation
PIOVRA - Liophant Simulation PIOVRA - Liophant Simulation
PIOVRAPIOVRA Modeling• PIOVRA Conceptual models for simulating acooperative behaviour of PIOVRA CGF allowing theiraggregation or separation depending on the situation(clearly keeping in mind the command hierarchies for military units andmanaging their dynamic evolution during actions).• Modelling all the aspects and parameters for properlydefine the different units in terms of Rules OfEngagement (ROE); the use of Fuzzy Logic andArtificial Neural Networks allows to extend the validityrange of PIOVRA Models10
PIOVRAPIOVRA Components• PIOVRA Library allows to attribute specific intelligentbehaviours to the operative units.• PIOVRA CGF are integrated using High LevelArchitecture (HLA) in a Federation• PIOVRA Federation as Executable Scenario withextended Capabilities for Testing and Experimentingthe Models• PIOVRA Reports and Feed-backsfor guaranteeing the dynamic changeof Rules of Engagementfor PIOVRA CGFCustomersWarehouseShippingSupplierSiteItemHistoricalOrderSistemComponentSystem TypeUserBill of MaterialSystem TypeSpare PartsResourceBill of MaterialComponentComponent TypeCalendar11
- Page 2 and 3: PIOVRAGoals• The development of o
- Page 4 and 5: PIOVRAPIOVRA Military Relevance•
- Page 6 and 7: New CGF CharacteristicsThe PIOVRA C
- Page 9: PIOVRAPIOVRA Units• PIOVRA pays g
- Page 13 and 14: PIOVRAAI & PIOVRA• The use of AI
- Page 15 and 16: PIOVRAModeling & G-DEVS HLA• The
- Page 17 and 18: PIOVRAScenario Definition• PIOVRA
- Page 19 and 20: PIOVRA ObjectsPIOVRAComportment Obj
- Page 21 and 22: PIOVRA MovementsPIOVRAjiji1 1513 1
- Page 23 and 24: FearPIOVRAEventGeneratingFearMontec
- Page 25 and 26: Different Evolution TrendsPIOVRAFat
- Page 27 and 28: AggressivenessPIOVRAThe aggressiven
- Page 29 and 30: Scenario ExampleDAY X-2 E X-12 UAV
- Page 31 and 32: 1 Platoon Liason Teams Federal Poli
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- Page 37 and 38: SIMULATION DAY X AT H16PIOVRASIMULA
<strong>PIOVRA</strong><strong>PIOVRA</strong> Modeling• <strong>PIOVRA</strong> Conceptual models for simulating acooperative behaviour of <strong>PIOVRA</strong> CGF allowing theiraggregation or separation depending on the situation(clearly keeping in mind the command hierarchies for military units andmanaging their dynamic evolution during actions).• Modelling all the aspects and parameters for properlydefine the different units in terms of Rules OfEngagement (ROE); the use of Fuzzy Logic andArtificial Neural Networks allows to extend the validityrange of <strong>PIOVRA</strong> Models10