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4.1 The Extended `El Farol Bar' Model
4.1.1 The environment
Each agent gets the most utility if it goes to the bar when it is not too crowded (i.e. less than 7 of the other agents go), gets a medium utility if they stay at home and the lowest utility if they go when it is crowded. In this way there is no fixed reward for any particular action because the utility gained from going depends on whether too many other agents also go. In this way there is no fixed goal for the agent's learning, but only one which is relative to the other agent's behaviour.
On Modelling in Memetics - Bruce Edmonds - 18 AUG 98
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