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    <title>Generalized (c,d)-entropy and aging random walks</title>
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    <keywords>Non-ergodic; Extensivity; Path-dependence; Random walks with memory</keywords>
    <abstract>Complex systems are often inherently non-ergodic and non-Markovian and Shannon entropy loses its applicability. Accelerating, path-dependent and aging random walks offer an intuitive picture for non-ergodic and non-Markovian systems. It was shown that the entropy of non-ergodic systems can still be derived from three of the Shannon-Khinchin axioms and by violating the fourth, the so-called composition axiom. The corresponding entropy is of the form S_c,d~Sum_i Gamma(1+d, 1-c ln p_i) and depends on two system-specific scaling exponents, c and d. This entropy contains many recently proposed entropy functionals as special cases, including Shannon and Tsallis entropy. It was shown that this entropy is relevant for a special class of non-Markovian random walks. In this work, we generalize these walks to a much wider class of stochastic systems that can be characterized as &quot;aging&quot; walks. These are systems whose transition rates between states are path- and time-dependent. We show that for particular aging walks, S_c,d is again the correct extensive entropy. Before the central part of the paper, we review the concept of (c,d)-entropy in a self-contained way.</abstract>
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    <id_number>10.3390/e15125324</id_number>
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    <iiasa_bibref>Entropy; 15(12):5084-5596 (December 2013) (Published online 3 December 2013)</iiasa_bibref>
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