HINTON@CMU-CS-C.ARPA (05/04/84)
From: Geoff Hinton <HINTON@CMU-CS-C.ARPA> [Forwarded from the CMU-AI bboard by Laws@SRI-AI.] The AI seminar on May 8 will be given by John Holland of the University of Michigan. Title: Learning Algorithms for Production Systems Learning, broadly interpreted to include processes such as induction, offers attractive possibilities for increasing the flexibility of rule-based systems. However, this potential is likely to be realized only when the rule-based systems are designed ab initio with learning in mind. In particular, there are substantial advantages to be gained when the rules are organized in terms of building blocks suitable for manipulation by the learning algorithms (taking advantage of the principles expounded by Newell & Simon). This seminar will concentrate on: 1. Ways of inducing useful building blocks and rules from experience, and 2. Learning algorithms that can exploit these possibilities through "apportionment of credit" and "recombination" of building blocks.