If multi-agent learning is the answer, what is the question?
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The area of learning in multi-agent systems is today one of the most fertile grounds for interaction between game theory and artificial intelligence. We focus on the foundational questions in this interdisciplinary area, and identify several distinct agendas that ought to, we argue, be separated. The goal of this article is to start a discussion in the research community that will result in firmer foundations for the area.1
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论文评审过程：Received 8 November 2005, Revised 14 February 2006, Accepted 16 February 2006, Available online 30 March 2007.
论文官网地址：https://doi.org/10.1016/j.artint.2006.02.006
