Партагеноссе
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Key Features
Levels combining closed spaces as well as enormous open areas
Visualization optimized for hardware TnL (both FF and shading capable parts)
Continuous level of detail technology for all the geometry
~100 000 polygons per frame at 60 fps on average hardware
Detailed character models (500-10 000 polys)
Powerful skeleton-based animation allows usage of motion-capture hardware and produces smooth and realistic motion of characters
Detail objects (grass/small stones/etc)
Portal-style, non-linear subdivision based visibility detection system
Intelligent hardware state caching technology
Both Direct and Radiosity lighting models
Colored dynamic lights and dynamic "soft" shadows
Intelligent shader subsystem
Dynamically generated textures
Reflections, chrome effects, etc.
VR-Simulation engine optimized for massive payload
High-performance collision detection allowing simultaneous motion of large number of characters in high polygonal environment
Realistic physics simulation (ballistic, motions, fluid engine, snow, rain, explosions, etc.)
Motion compensation scheme
Particle system with real physics
High quality HRTF 3D-sound with clipping and partial wave tracing
"Low-penalty" & "low-delay" reaction technology (less then 1ms to start HRTF 3D Sound Source to play)
Context-relative multiple-mixed music streams in MP3/MP2/WMA/ADPCM formats
High-performance collision detection allowing simultaneous motion of large number of characters in high polygonal environment
Computer rivals possess virtual hearing and sight, which when combined with worked out AI makes them tough enemies
Different kinds of enemies, military vehicles, helicopters, boats, etc (work in progress)
Accurate hit calculation algorithm
Powerful built-in sсripting language
Full realization of C-language and partial C++
Only 6-8 times slower than real (x86) code
AI
Simulation Level-Of-Detail and Culling
Virtual sight, hearing, feeling
Fuzzy logic controlled agents
Advanced terrain reasoning with tactical assessment
Adapting tactics with reinforcement learning
Dedicated snipping tactics
Team maneuvers
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