thanks for your replay.
the problem with fuzzy is obtaining the the amount of aggression.
how can i get that number?
i the past i used jess to obtain the best action of an agent and i did it
like that:
(deffacts attack-scores
(attack-score north 200 -50 -200 -50)
(attack-score west -50 200 -50 -200)
etcc...
and then
using simple rules i can get the best attack direction.
do you think it is also possible to use the same technique in this problem?
From: "Robert Kildare" <[EMAIL PROTECTED]>
Reply-To: jess-users@sandia.gov
To: jess-users@sandia.gov
Subject: Re: JESS: ideas about aggression detection
Date: Wed, 22 Nov 2006 11:23:56 +1100
Have you investigated using fuzzy rules (fuzzy jess)?
==============Original message text===============
On Wed, 22 Nov 2006 0:47:12 +1100 "M Ismail" wrote:
Hi everyone,
i am not new to Jess, i used it before with my bachelor graduate project
"Multi Agent Stratego".
Anyways now i want to use Jess again in my master project "Aggression
Detection".
But I want to know what is the best way of doing it:
Here is the problem:
I want to detect which level of aggression in trains might occur: Fighting,
control, normal, begging, hooligans, shouting.
I get information from the sound and video, those information are facts
(things like a person, holding, a knife) etc... And the problem is that i
want use a meter to see how much in % is the level of aggression of
(Fighting, control, normal, begging, shouting)
So what do you advice me to work this out?
Use scores for every situation and calculate it with the number of facts?
Or
is there any other way to implement this problem,
So basically after every run, i should get back something like:
Fighting: 13%
Shouting: 40 %
Etc...
I hope you understand the problem, and sorry for the bad English.
Best regards,
M. Ismail
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