Art of Algorithmic War

May 2, 2013

In this market age of dark pools, contorted orders and 'self'-learning machines, the battle not only for alpha but also for simple survival looks more like war than ever before. This paper provides an overview of key subsets of the current research on perception and judgment and outlines strategies and tactics based on neuroscientific insights for developing more robust models, creating more effective algorithms and instituting more effective risk management approaches.

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