@InProceedings{	  vidal:96c,
  author =	 {Jos\'{e} M. Vidal and Edmund H. Durfee},
  title =	 {The Impact of Nested Agent Models in an Information
                  Economy},
  booktitle =	 {Proceedings of the Second International Conference
                  on Multi-Agent Systems},
  publisher = 	 {{AAAI}/{MIT} press},
  year =	 1996,
  pages =	 {377--384},
  url =		 {http://jmvidal.cse.sc.edu/papers/amumdl/},
  abstract =	 {We present our approach to the problem of how an
                  agent, within an economic Multi-Agent System, can
                  determine when it should behave strategically
                  (i.e. model the other agents), and when it should
                  act as a simple price-taker. We provide a framework
                  for the incremental implementation of modeling
                  capabilities in agents. These agents were
                  implemented and different populations simulated in
                  order to learn more about their behavior and the
                  merits of using agent models. Our results show,
                  among other lessons, how savvy buyers can avoid
                  being ``cheated'' by sellers, how price volatility
                  can be used to quantitatively predict the benefits
                  of deeper models, and how specific types of agent
                  populations influence system behavior.},
  keywords = 	 {multiagent learning auctions},
  googleid = 	 {miOZS-JYXmcJ:scholar.google.com/},
  cluster = 	 {7448488562671559578}
}