Papers from the AAAI Spring Symposium
Marie des Jardins and Ashwin Ram,Cochairs
Goal-driven learning refers to the process of using the overall goals of an intelligent system to make decisions about when learning should occur, what should be learned, and which learning strategies are appropriate in a given context. This focusing process may take place at any decision point during learning---for example, when determining what to learn, selecting a bias, pruning the space of theories to be considered, or generating experiments for data gathering.
Research in psychology, education, and AI has shown the need for intelligent systems to make decisions about what and how to learn. The common rationale, and the principle around which the symposium will be organized, is that the value of learning depends on how well it satisfies the goals of the system. The symposium brought together researchers from diverse research areas to discuss issues in how learning goals arise, how they affect learner decisions of when and what to learn, and how they guide the learning process.