Case-Based Goal Formulation
نویسندگان
چکیده
Robust AI systems need to be able to reason about their goals and formulate new goals based on the given situation. Case-based goal formulation is a technique for formulating new goals for an agent using a library of examples. We provide a formalization of this term and two algorithms that implement this definition. The algorithms are compared against classification techniques on the tasks of opponent modeling and strategy selection in the real-time strategy game StarCraft. Our system, EISBot, implements these techniques and achieves a win rate of 52% against the built-in AI of StarCraft.
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