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@Article{AIJ07,
	Author="Peter Stone",
	title="Multiagent learning is not the answer. It is the question",
	journal="Artificial Intelligence",
	month="May",
	year="2007",
	volume="171",issue="7",pages="402--05",
	abstract="
                  The article by Shoham, Powers, and Grenager called
                  ``If multi-agent learning is the answer, what is the
                  question?'' does a great job of laying out the
                  current state of the art and open issues at the
                  intersection of game theory and artificial
                  intelligence (AI).  However, from the AI
                  perspective, the term ``multiagent learning''
                  applies more broadly than can be usefully framed in
                  game theoretic terms.  In this larger context, how
                  (and perhaps whether) multiagent learning can be
                  usefully applied in complex domains is still a large
                  open question.
	",
	wwwnote={Response to Shoham, Powers, and Grenager <b>If Multi-Agent Systems is the Answer, What is the Question?</b>, available from <a href="http://ai.stanford.edu/~shoham/">Shoham's webpage</a>.<br> <a href="http://dx.doi.org/10.1016/j.artint.2006.12.005">Official version from the <a href="http://www.elsevier.com/locate/artint">AIJ</a> publisher's webpage.},
}