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11932: Re: [MUD-Dev] Neural Networks as the AI system for a MUD?
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From: Hans-Henrik Staerfeldt <hhs@cbs.dtu.dk>
Newsgroups: nu.kanga.list.mud-dev
Date: Tue, 7 Dec 1999 11:20:42 +0100 (MET)
References: [1]
Organization: Kanga.Nu
On Mon, 6 Dec 1999 PartyG2816@aol.com wrote:
> Hmm, hidden markov models?
Sort of probabilistic context free grammars. Much like Andrew Norman=20
said about state machines, but with probabilistic transition states.=20
The HMM will answer which path in the model that a sequence of states=20
most likely (given state transition probabilities) would have=20
followed. It's sort of a loose description i know :-). Also a models=20
state transition probabilities can be build from examples.
Hans Henrik St=E6rfeldt | bombman@diku.dk | work: hhs@cbs.dtu.dk=
|
address: |___ +45 40383492 __|__ +45 45252425 =
__|
Dybendalsvej 74 2. th, | Scientific programmer at Center for Biological =
|
2720 Vanl=F8se, Danmark. | Sequence Analysis, Technical University of D=
enmark|
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