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Effect of Interaction Topology and Activation Regime in Several Multi-Agent Systems

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Author Info
Robert L. Axtell
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.

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Paper provided by Santa Fe Institute in its series Working Papers with number 00-07-039.

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Date of creation: Jul 2000
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Handle: RePEc:wop:safiwp:00-07-039

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Page, Scott E., 1997. "On Incentives and Updating in Agent Based Models," Working Papers 1001, California Institute of Technology, Division of the Humanities and Social Sciences. [Downloadable!]
  2. Ellison, Glenn, 1993. "Learning, Local Interaction, and Coordination," Econometrica, Econometric Society, vol. 61(5), pages 1047-71, September. [Downloadable!] (restricted)
  3. Page, Scott E, 1997. "On Incentives and Updating in Agent Based Models," Computational Economics, Springer, vol. 10(1), pages 67-87, February. [Downloadable!]
  4. Young, H.P., 1999. "Diffusion in Social Networks," Papers 2, Brookings Institution - Working Papers.
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  1. Denis Phan & Stephane Pajot & Jean-Pierre Nadal, 2003. "The Monopolist's Market with Discrete Choices and Network Externality Revisited: Small-Worlds, Phase Transition and Avalanches in an ACE Framework," Computing in Economics and Finance 2003 150, Society for Computational Economics. [Downloadable!]
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