Risk cybernetics

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Risk cybernetics by Finamatrix AI (Author: Dr Lanz Chan) is a risk management blockchain project comprising risk specification and risk control techniques using advanced artificial intelligence and computing technologies with circular-causal volatility-feedback in a genetic algorithm neural network (GANN) framework. More generally, risk cybernetics refers to risk management techniques which combine human and computer capabilities and functions in a circular-causal network/system. The objective of risk cybernetics is to achieve self-learning, self-enhancing and full-automation capabilities so as to reduce accidents, errors, etc and obtain predictable and sustainable returns which can be applied to any industry including applications in market data, financial time series, cyber security measures, robotics, etc.[1][2]

References[edit]

  1. ^ "Research and Markets: RISK CYBERNETICS: Training Manual Version 1.0". Reuters. Feb 1, 2011. Retrieved 2013-05-17. 
  2. ^ "Automated Trading with Genetic-Algorithm Neural-Network Risk Cybernetics: An Application on FX Markets". SSRN. Feb 20, 2012. SSRN 1687763Freely accessible.