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2 The effects of complexity on modelling by agents
If an agent is in a situation where it effectively has all the time it needs for relevant computation and learning with respect to its environment (e.g. if the environment is relatively static and the agent has a long time between decisions or if the whole population acts as a sort of massively parallel search and inference mechanism and the agent has access to the "results") then it can be treated as if it had ideal rationality and perfect information. If you have an agent in such a position then the only relevant criteria there is for judging alternative models about its environment is that of the accuracy (or conversely error) of their predictions.
From Complexity to Agent Modelling and Back Again - Bruce Edmonds - 15 MAY 97
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