Theoretical Analysis of Local Information Transmission in Competitive Populations

Sehyo Charley Choe (), Sean Gourley, Neil F. Johnson and Pak Ming Hui
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Sehyo Charley Choe: Oxford University
Sean Gourley: Oxford University
Neil F. Johnson: Oxford University
Pak Ming Hui: The Chinese University of Hong Kong

A chapter in The Complex Networks of Economic Interactions, 2006, pp 251-264 from Springer

Abstract: Summary We study Complex Adaptive Systems in which information is shared locally within a heterogeneous population of adaptive nodes (‘agents’) competing for a limited global resource. The emerging collective behaviour is found to depend strongly on the level of available resource, the connectivity between agents and the accuracy of information transmission.

Keywords: Information Transmission; Excess Demand; Global Outcome; Thick Solid Line; Complex Adaptive System (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-540-28727-8_17

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DOI: 10.1007/3-540-28727-2_17

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