Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
A Machine-Oriented Logic Based on the Resolution Principle
Journal of the ACM (JACM)
A machine program for theorem-proving
Communications of the ACM
The Artificial Intelligence
Educational advances in artificial intelligence
Proceedings of the 42nd ACM technical symposium on Computer science education
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With an emphasis toward hands-on learning of Artificial Intelligence (AI) concepts, we present an overview of an introductory AI course that uses a series of five projects based in the game of Wumpus World. The advantage of using a single domain and corresponding simulation environment for each project is that students can better focus on the course material after a brief familiarization period. The projects involve students programming search algorithms, satisfiability algorithms, declarative planning domain descriptions, and Bayesian network inference algorithms applied to Wumpus World. We describe the course, Wumpus World, and each of the projects.