Evan Hurwitz

Evan Hurwitz is a South African Information Engineer. He obtained his BSc Engineering (Electrical) (2004), his MSc Engineering (2006) from the University of the Witwatersrand and PhD from the University of Johannesburg. He is known for his work on teaching a computer how to bluff which was widely covered by the magazine New Scientist.[1] Hurwitz together with Tshilidzi Marwala proposed that there is less level of information asymmetry between two artificial intelligent agents than between two human agents and that the more artificial intelligence there is in the market the less is the volume of trades in the market.[2][3]

References

Hurwitz, Evan; Marwala, Tshilidzi (2007). "Learning to bluff". 2007 IEEE International Conference on Systems, Man and Cybernetics. pp. 1188–1193. doi:10.1109/ICSMC.2007.4413589. ISBN 978-1-4244-0990-7.
Marwala, Tshilidzi; Hurwitz, Evan (2015). "Artificial Intelligence and Asymmetric Information Theory". arXiv:1510.02867 [cs.AI].
"Artificial Intelligence can Reduce Information Asymmetry : Networks Course blog for INFO 2040/CS 2850/Econ 2040/SOC 2090". blogs.cornell.edu. Retrieved 2017-11-14.

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[1] Hurwitz, Evan; Marwala, Tshilidzi (2007). "Learning to bluff". 2007 IEEE International Conference on Systems, Man and Cybernetics. pp. 1188–1193. doi:10.1109/ICSMC.2007.4413589. ISBN 978-1-4244-0990-7.

[2] Marwala, Tshilidzi; Hurwitz, Evan (2015). "Artificial Intelligence and Asymmetric Information Theory". arXiv:1510.02867 [cs.AI].

[3] "Artificial Intelligence can Reduce Information Asymmetry : Networks Course blog for INFO 2040/CS 2850/Econ 2040/SOC 2090". blogs.cornell.edu. Retrieved 2017-11-14.