thanks sir,..i understand that you are suggesting a devide and conquer technique..but im a bit confused on how to converge those which you suggest (1,2,3,4) and the P.E.A.S...can you show me an example so i might as well compare..
regards, sv ________________________________ From: Thomas Hruska <[email protected]> To: [email protected] Sent: Friday, July 10, 2009 6:36:55 PM Subject: Re: [c-prog] AI gaming SVMAYOL wrote: > hi sir, > > thanks for your time. i am looking for a solution of an agent that will be my > opponent in the game basketball.. im following the P.E.A.S. (performance > meaasure/environmen t/actuator/ sensor).. .and i dont know where to > start...and one thing, i dont have enough material for this..not even a book > (Artificial Intelligence: a Modern approach by stuart russell) our country > stopped publishing this book because it is not being used by the majority of > school.. > > regards, > sv That problem is still too vast. You need to take small, bite-sized pieces you can work on one at a time. For example: 1) When to move. 2) Where to move. 3) When to pass. 4) When to shoot. And each of those can vary by player and probably each one has subsets of rules to apply. For #1 above, you could have two opponents - one who is very aggressive and one who likes to hang back. Obviously, the goal is getting the ball into the basket (#4). So, the computer could decide, "if I move here with this player (#2), this player will likely move here, which could open up a #3 opportunity with a probability of #4 occurring with a 60% chance of success of making the shot and a 10% chance of getting the rebound." A simple, first-pass implementation could just simply move players around trying to get in front of or away from those blocking them from getting the ball (i.e. creating a scenario to get the ball). -- Thomas Hruska CubicleSoft President Ph: 517-803-4197 *NEW* MyTaskFocus 1.1 Get on task. Stay on task. http://www.CubicleSoft.com/MyTaskFocus/ [Non-text portions of this message have been removed]
