Reply to C. Tsallis' "Conceptual Inadequacy of the Shore and Johnson Axioms for Wide Classes of Complex Systems"
Physics and Astronomy
In a recent PRL (2013, 111, 180604), we invoked the Shore and Johnson axioms which demonstrate that the least-biased way to infer probability distributions fpig from data is to maximize the Boltzmann-Gibbs entropy. We then showed which biases are introduced in models obtained by maximizing nonadditive entropies. A rebuttal of our work appears in entropy (2015, 17, 2853) and argues that the Shore and Johnson axioms are inapplicable to a wide class of complex systems. Here we highlight the errors in this reasoning.
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Pressé, Steve, et al. “Reply to C. Tsallis’ ‘Conceptual Inadequacy of the Shore and Johnson Axioms for Wide Classes of Complex Systems.’” Entropy (Basel, Switzerland), vol. 17, no. 12, 2015, pp. 5043–5046. doi: 10.3390/e17075043.