The Evolution of Knowledge and Search in Game-Playing Systems
نویسنده
چکیده
The field of artificial intelligence (AI) is all about creating systems that exhibit “intelligent” behavior. Computer games have been one of the most visible application areas for innovative AI research and, in part, this has led to numerous major success stories. However, fifty years of AI research has seen the recipe for building strong programs evolve from the early knowledge-intensive approaches to the current searchintensive approaches. Each step forward seems to move us further away from the human example. This paper talks about this evolution and its impact on building high-performance game-playing programs.
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