] "That's the hot thing in spam fighting now -- Bayesian
] filtering. I'll leave the details to smarter people, but
] it is essentially a statistical method in which
] individual tokens (words) are mapped to probabilities.
] For example, a quick look at my spam log of 700 recent
] spams shows that my last name shows up in 4 spams and 254
] "good" messages, making it a strong (but not absolute)
] indicator of non-spam. Conversely, the term "hcode" shows
] up in 304 spam messages and no legitimate messages,
] making it a very good indicator of spam."

I'd like to play with this as a filtering system in the agent...

Bayesian Spam Filtering