Using Cultural Algorithms with Common Value Auctions to Provide Sustainability in Complex Dynamic Environments

Abstract

In Computation intelligence algorithm performance is crucial especially when the complexity of the system increases and becomes chaotic (un-predictable). In Cultural Systems many algorithms are able to predict the system performance as the complexity is linear, or non-linear. However, when it is chaotic the prediction quality decreases dramatically. In this paper, we are show that Common Value Auctions are able to distribute sufficient information through the system in order to sustain the prediction rate even on the edge of chaos. This sustainability is expressed here in terms of increased resilience and robustness. Systems that rely on wisdom of the crowd based approaches are shown not to do as well when environmental change goes from linear to non-linear, and finally to chaotic.