Finding Profit-Maximizing Strategies for the Artificial Payment Card Market
نویسندگان
چکیده
In this paper we use the Generalised Population Based Incremental Learning (GPBIL) in order to find profit-maximizing strategies for the Artificial Payment Card Market (APCM). The artificial market has modeled explicitly a multidimensional consumers’ and merchants’ demand for payment instruments. Given the complex shape of the demand, we have found that the GPBIL effectively explores the areas of intersection between the price and the demand on both sides of the payment card market, in order to reach a price structure and a price level that maximize the profit of the payment card providers.
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