Reply to C. Tsallis' "Conceptual Inadequacy of the Shore and Johnson Axioms for Wide Classes of Complex Systems"
College of Natual Science and Mathematics, 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.
Copyright held by author or publisher. User is responsible for all copyright compliance.
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.