What method is used for manager AI?
Posted 19 March 2007 - 11:50 PM
For example, how does a manager in the Football Manager series decide what tactic to use in a match, when to substitute a player, what players to shortlist or when to approach to sign a player? Is there a dominant method, or is it a combination of many methods in AI programming?
Posted 20 March 2007 - 06:00 PM
Depends on what you are familiar with and how smart you want your manager AI to be.
For instance, you could make it a rule based machine, where if something happens, it directly triggers a response. You could use a finite state machine. If you wanted to be clever and make it hard for the player, use a genetic algorithm or neural networks that can learn. or a combination of any of the above. Its really just what you are comfortable with and what you know how to use.
Posted 26 March 2007 - 10:02 AM
Dark Storm said:
Thanks for the reply. I guess for what I have in mind I should consider genetic algorithms and/or neural networks. I want the rival managers to adjust to the players style in time. Basically they should be able to fetch the data of certain events, analyse them and select those that brought in better results.
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