Aims

Entropy, an International and Interdisciplinary Journal of Entropy and Information Studies, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details. There is no restriction on the length of the papers. If there are computation and the experiment, the details must be provided so that the results can be reproduced. There are in addition three unique features:

• Manuscripts regarding research proposals and research ideas will be particularly welcomed.
• Comments on any related papers published in this journal and other journals can be made public immediately in the mailing list and published as short letters in this journal.
• Electronic files regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, will be deposited as supplementary material.

• general aspects of entropy and information concepts as used in statistical mechanics, thermodynamics, etc.
• the second law of thermodynamics
• information theory
• system theory and cybernetics
• artificial intelligence, neural networks, complex systems, man-machine interfaces, self-organization theories, systems therapy
• pattern recognition
• chaos, complexity, self-organization, symmetry breaking, stability, reversibility and spontaneity
• quantitative relations of entropy (information loss) and other concepts (e.g., symmetry, similarity, orderliness, simplicity and complexity)
• molecular evolution, biological evolution and the evolution of the universe
• application of entropy and information studies in any natural and social sciences

Authors and publishers are encouraged to send review copies of their recent related books to the editor. Received books will be listed first as "Books Received", then offered to the scholarly community for preparing reviews.

Announcement and Advertisement

Announcements regarding academic activities such as conferences are published for free. Advertisement can be either published or placed on the pertinent website. Contact e-mail address is entropy@mdpi.org.