Case-Based Reasoning
Case-Based Reasoning is a method where previous problems or situations, in addition to their solutions, are remembered. When the agent encounters a similar situation again, it can adapt the previous solution to the current one and use it (accommodating for the differences between the two situations). The work done in this lab applied Case-Based Reasoning in order to learn which behavioral parameters to use in a behavior-based system. As part of the MARS project, I added a memory management system to this existing framework whereby cases could be removed if a new situation arises that is not in the current library, but the library is full. Several metrics for case removal were compared, and it was shown that forgetting can significantly increase performance in some situations.
Multimedia
Below are multimedia related to the projects. You can scrolls through the pictures or start the movie with the arrows on the lower right.