Entropy, Volume 12, Issue 2

In statistical physics, Boltzmann-Shannon entropy provides good understanding for the equilibrium states of a number of phenomena. In statistics, the entropy corresponds to the maximum likelihood method, in which Kullback-Leibler divergence connects...

Self-organization during friction in complex surface engineered tribosystems is investigated. The probability of self-organization in these complex tribosystems is studied on the basis of the theoretical concepts of irreversible thermodynamics. It is...

Exergy analysis is a powerful and systematic tool for the improvement of energy systems, with many possible applications in both conversion and utilization of energy. Here we present selected applications, with a special attention to renewable energy...

In the biosemiotic literature there is a tension between the naturalistic reference to biological processes and the category of ‘meaning’ which is central in the concept of semiosis. A crucial term bridging the two dimensions is ‘information’. I argu...

In an early paper on logic, C.S. Peirce defined a concept of ‘information’ very different from the later conceptions which gave rise to ‘information science’, and indirectly to current problems such as an overload of ‘useless information’. A study of...

We apply Shannon entropy as a measure of information content in survey data, and define information efficiency as the empirical entropy divided by the maximum attainable entropy. In a case study of the Norwegian Function Assessment Scale, entropy cal...