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Our products are used to:

_reduce the uncertainty of Machine Learning models,

_prioritize enterprise data efforts,

_support experts in the ML loop,

_improve the quality of ML models, especially in multi-class settings with complex ontologies,

_reduce data footprint and compactify ML models so as to be used by the Internet of Things applications,

_improve gaming experience via more challenging and realistic AI in games,

_create intelligent advisory systems from pre-compiled building blocks.

Grail Demonstrative Realization: Tactical Troops

The AI in Tactical Troops is running on Grail thoroughly.

Tactical Troops is a squad-based tactical game with turn-based gameplay and continuous movement without grid.
It fits the frame of an ideal showcase of Artificial Intelligence. Bots need to tackle many challenges in real-time, e.g. choose their current objectives, reason in a dynamic environment,select the right weapon or gadget for the job, attack, take cover, support etc.

Grail has allowed us to develop AI in Tactical Troops in a modular fashion using two of its three main algorithms.

  • On the top-most level, there is a strategic AI operated by Grail's Utility System.
    The strategic component sets orders for units e.g. where to go, who to cover or attack.
  • The orders are passed to the tactical AI, which is implemented using Grail's simulation-based methods. The tactical AI plans each turn within certain constraints set by the strategic layer.

Both strategic and tactical components operate with their own set of behaviors. They interact with the environment as well as with each other using the blackboard architecture.

 

Tactical Troops: Anthracite Shift

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