Original post by MikeD
I''ve got a feeling that the majority of the ways I''d use an ANN would be quite similar to the ways an IM would be implemented in the same situation. Like with any AI, you take a set of information about the environment to develop a solution to a question. If IMs are a comparative quality mechanism for positional placing of a task (handled by other AI) then my answer is the same for the camping question as it is for the building placement question. Take the inputs from the agent state (health, weaponry, armour etc.) and the current state of the world and decide upon a course of action. If it''s decided that camping for health or a weapon or something else is necessitated then use the IM or ANN on each node of the world to find the quality of camping for that item. The polling system will give you the best node and you camp it until you get what you want or your/the world state changes for some other reason.
Sound simple enough?
The more we compare IMs and ANNs, I get the same feeling. Although, I would suggest
that the classifying and associating capabilities of ANNs extend beyond that of IMs.
Ok, how about a different decision in a RTS? Given a set of goals (conquer the world),
what should the computer player research next (assuming research into technology or
magic is a part of the game)? How would we approach that AI Decision with an ANN?