> I'm starting a seminar at my company to acquaint beginning scientists with
> various AI techniques. Can anyone recommend good introductory material on
> any the following topics?
>
> Neural networks
> Belief nets (the Pearl book is good but more advanced than we have in mind
> for this setting)
> Expert systems
> Agents
> Fuzzy logic
>
> Rachel Cunningham
Sometimes an introductory article or two can help fill in the holes, start
at an earlier (simpler) point, or provide a student with a different
perspective or writing style that is easier to digest. A few worth
suggesting here that focus on Bayesian inference include:
[D'Ambrosio 99] D'Ambrosio, Bruce. "Inference in Bayesian Networks," in
AI Magazine 20 (No. 2) (Summer 1999): 21-36.
[Heckerman et al. 95] Heckerman, David and Michael P. Wellman. "Bayesian
Networks," in Communications of the ACM 38 (3) (March 1995): 27-30.
[Charniak 91] Charniak, Eugene. "Bayesian Networks Without Tears," in AI
Magazine 12 (4) (Winter 1991): 50-63.
enjoy,
Scott Burgess
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