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Which AI algorithm to use for this problem

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Which AI algorithm to use for this problem

Postby ihazbackup » Tue Oct 15, 2013 3:01 am

Hello, I'm a beginner in AI field and I'm currently building an agent system which simulates human behaviour towards shopping center

I have the first set of data which contains a list of shops available in the shopping center (an array of struct consists of shop type and its popularity)
The second set of data is a the agent's preference stated in float numbers. for example: {shopping:0.3, walking:0.25, entertainment:0.15, eat:0.3}
Other additional data are stamina, stated in number, for example 200 (0 means the agent's are eliminated from the field)

The problem is I don't know which method/algorithm I can use so that from these set of data, the agent can determine which action it would take, whether shopping to a certain shop or just walking around.
My first choice is using Fuzzy Logic, but if there's a better implementation using different method/algorithm, I'll consider it.
Any help is appreciated

THX b4
ihazbackup
 
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Re: Which AI algorithm to use for this problem

Postby Joost » Sun Nov 24, 2013 9:46 am

Have a look at naïve Bayes. I think that might help You.
Joost
 
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Joined: Sun Nov 24, 2013 9:41 am




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