PIOVRA - Liophant Simulation
PIOVRA - Liophant Simulation PIOVRA - Liophant Simulation
New CGF CharacteristicsThe PIOVRA CGF includes the following characteristics:PIOVRA• User-Defined Initialising Parameters• Analyse Surrounding Environment and React Respectively Capability• Cooperative Capacity• Force Aggregating/Desegregating Capability and relevant military hierarchy• Resultant Aggregation Levels different from aggregating/desegregating elementssum/subtraction• Limit Proper Autonomy to Achieve Common Objective Capability• Stress Level Indicator applicable for the entities behaviour definition• Implementation of Typical Human Behaviour (survival instinct and moral/ethicalmotivations)• Distinct Friend, Enemy, Suspect and Neutral Units• Explicit ROE justifying Proper Behaviour• Military Reports to Higher Commanders Capability• Decision Process Traceability• Feedback capability• CGF entities simulating various force levels6
PIOVRANew CGF & Models• New CGF need to be designed for incorporating anhierarchical scalable structure in order to be able toreach high level of details (i.e. single persons) withoutloosing the possibility to model large entities and withautonomous reporting capabilities for justifying theirchoices to external user.• G-DEVS/HLA developmentsof PIOVRA guarantee the possibilityto plug such models in PIOVRA CGFrespecting consistency and speedingup VV&A processes.7
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- Page 13 and 14: PIOVRAAI & PIOVRA• The use of AI
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- Page 17 and 18: PIOVRAScenario Definition• PIOVRA
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- Page 23 and 24: FearPIOVRAEventGeneratingFearMontec
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- Page 27 and 28: AggressivenessPIOVRAThe aggressiven
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- Page 37 and 38: SIMULATION DAY X AT H16PIOVRASIMULA
<strong>PIOVRA</strong>New CGF & Models• New CGF need to be designed for incorporating anhierarchical scalable structure in order to be able toreach high level of details (i.e. single persons) withoutloosing the possibility to model large entities and withautonomous reporting capabilities for justifying theirchoices to external user.• G-DEVS/HLA developmentsof <strong>PIOVRA</strong> guarantee the possibilityto plug such models in <strong>PIOVRA</strong> CGFrespecting consistency and speedingup VV&A processes.7