Susan L. Epstein

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Hoyle is a program that learns to play a broad variety of board games very well, in real time. Hoyle is not a traditional game playing artifact: it eschews search and tolerates, even encourages, inconsistent and incomplete knowledge. This paper describes the program’s orientation and current status, reports on some of its achievements, and offers some(More)
The theme of this article is that knowledge acquisition can be managed as a transition from general expertise to specific expertise. FORR is a general architecture for learning and problem solving that models expertise at a set of related problem classes. This architecture postulates initial broad domain knowledge, and gradually specializes it to simulate(More)
The Adaptive Constraint Engine (ACE) seeks to automate the application of constraint programming expertise and the extraction of domain-specific expertise. Under the aegis of FORR, an architecture for learning and problemsolving, ACE learns search-order heuristics from problem solving experience. This paper describes ACE’s approach, as well as new(More)
As they gain expertise in problem solving, people increasingly rely on patterns and spatiallyoriented reasoning. This paper describes an associative visual pattern classifier and the automated acquisition of new, spatially-oriented reasoning agents that simulate such behavior. They are incorporated into a multi-agent game-learning program whose architecture(More)
This paper demonstrates how the nature of the opposition during training affects learning to play two-person, perfect information board games. It considers different kinds of competitive training, the impact of trainer error, appropriate metrics for post-training performance measurement, and the ways those metrics can be applied. The results suggest that(More)
Computer programs now play many board games as well or better than the most expert humans. Human players, however, learn, plan, allocate resources, and integrate multiple streams of knowledge. This paper highlights recent achievements in game playing, describes some cognitively-oriented work, and poses three related challenge problems for the AI community.(More)