@InProceedings{axtell00a,
  author =	 {Robert L. Axtell},
  title =	 {Effect of Interaction Topology and Activation Regime
                  in Several Multi-Agent Systems},
  booktitle =	 {Proceedings of the International Conference on
                  Multi-Agent Systems},
  year =	 2000,
  abstract =	 {The effects of distinct agent interaction and
                  activation structures are compared and contrasted in
                  several multi-agent models of social
                  phenomena. Random graphs and lattices represent two
                  limiting kinds of agent interaction networks
                  studied, with so-called 'small-world' networks being
                  an intermediate form between these two extremes. A
                  model of retirement behavior is studied with each
                  network type, resulting in important differences in
                  key model outputs. Then, in the context of a model
                  of firm formation, in which multi-agent structures
                  (firms) are emergent, it is demonstrated that the
                  medium of interaction -- whether through individual
                  agents or through firms -- affects the qualitative
                  character of the results. Finally, alternative agent
                  activation 'schedules' are studied. In particular,
                  two activation modes are compared: (1) all agents
                  being active exactly once each period, and (2) each
                  agent having a random number of activations in every
                  period with mean 1. In many circumstances these two
                  regimes produce indistinguishable results at the
                  aggregate level, but in certain cases the
                  differences between them are significant. },
  keywords = 	 {multiagent social-networks complexity},
  comment =	 {Axtell shows that the order in which agents are
                  activated in an agent-based simulation (for social
                  science) can change the emergent behavior of the
                  system. This result should be kept in mind when
                  doing multiagent simulations.},
  url =		 {http://jmvidal.cse.sc.edu/library/axtell00a.pdf},
  cluster = 	 {14177204436170958643}
}