Real-Time Strategy Experience Exchanger Model Real-See
For many years, researchers tried and succeeded to develop agents that can adapt their behavior to face new opponent scenarios and beating them. So in this paper we introduce an experience exchanging model that allow a game engine to update all other engines with the game reaction against new surprising un-programmed opponent scenarios that face the computer player through exchanging new cases among engines case-based reasoning systems. We believe this will reveal game players from downloading a new engine of the game and loosing their saved episodes.
Keywords: Real-Time Strategy Games, Case-based Reasoning, Feature Similarity
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