Much of multiagent systems deals with the problem of (distributedly) computing equilibrium solutions for games, or calculating the proper incentives to that the agents will want to perform the required computation. Thus, much of multiagent research could be considered as algorithmic, or perhaps computational, game theory. There is a new book called Algorithmic Game Theory [2] which collects short articles from the state of the art in this research area. David "oddhead" Pennock has more [3].