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CTF project is a multi-agent capture-the-flag framework for education. This project was started by Jason Rohrer during the fall of 2000 and was initially used to teach CS 472, Introduction to AI, at Cornell University. A homework assignment was given that asked students to design a CTF agent for the framework. Students in the class responded to the assignment with great enthusiasm, and many of their final agents far exceeded our expectations (one student group went so far as to design a genetic algorithm to evolve a team of agents). CTF forces students to explore the issues surrounding agents that operate in a limited information environments. The framework is flexible enough to allow almost any possible implementation of agent control, from the simplest reactive agents, to agents that query powerful knowledge bases, to neural network agents that are trained by back propagation or reinforcement methods. When using this framework at Cornell, we left the assignment open-ended. However, you can use this framework in your own class to teach a specific agent control concept (by forcing every student to implement a reinforcement learning system, for example).. A AI education project started at Cornell University
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Albina Merfyn - I find this to be really easy to use. I can...
