bwk@mbunix.mitre.org (Kort) (11/13/89)
In article <Nov.12.17.33.09.1989.3774@aramis.rutgers.edu> tgd@aramis.rutgers.edu (Tom Dietterich) writes: > Rule-based systems (such as those described by Klatt) may attain > superior performance. The challenge is to come up with learning > methods that can match the performance of hand-crafted rule bases. I agree. Large rule-based systems are brittle, unwieldy, and difficult to evolve. I expect that model-based reasoning will eventually supplant rule-based systems. At the present time, model-based reasoning (also called deep reasoning) is an AI frontier. When I do diagnostic reasoning, I reason from a mental model or from a mechanical or computer simulation model. Most of the work is in the construction of the model. One of the reasons that I cannot diagnose the trouble with my Pontiac's carburetion system is that I don't have a clear mental model of how it works. --Barry Kort