AI for competitive reasoning All traditional AI methods digest historical data to create an expert system that models past events. These approaches can be precise and consistent, but they typically have no way to account for their decision process, and they fail when confronted with a sentient opponent. Facing such real world demands is not an exercise in traditional machine learning. Accordingly, we have developed an entirely new theory of algorithms, from the ground up, specifically for defeating sentient adversaries.
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