Expert Systems have been an integral part of Artificial Intelligence over the past five decades, and even in these times of learning and adaptation, they still remain an extremely popular option. Given numerous state of the art algorithms that can extract meaningful patterns from data, the human expert's task is becoming much simpler.

Logic games are very well suited to expert systems, since they are based on a finite set of simple actions, and usually have a limited number of game states. In this essay, we'll take a look at a good example of an expert system designed for a logic game, specifically Connect Four. We'll briefly describe how one would go about creating such an expert system, and argue its advantages.

In the final page of this feature, we'll look into potential replacements for expert systems: learning systems. AI research is generally going in this direction, as this provides the most challenges. We'll discuss the issues raised by such a switch in mentality

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