Diana Richards Whitman A. Richards Brendan D. McKay
Abstract
An important puzzle in the study of complex systems is the conditions under which the aggregation of information from interacting agents results in a stable or an unstable collective outcome. We present a general framework for thinking about the stability and instability of collective outcomes that focuses on the effects of mutual knowledge. We show that if a complex system of aggregated choice respects a mutual knowledge structure, then the prospects of a stable collective outcome are considerably improved. Our domain-independent results apply to collective choice ranging from perception, where an interpretation of sense data is made by a collection of perceptual modules, to social choice, where a group decision is made from a set of preferences held by individuals.
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Publisher Info
Paper provided by Santa Fe Institute in its series Research in Economics with number
98-04-032e.
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