Table of Contents
Entropy, Volume 19, Issue 5 (May 2017)
- Issues are regarded as officially published after their release is announced to the table of contents alert mailing list.
- You may sign up for e-mail alerts to receive table of contents of newly released issues.
- PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.
Cover Story (view full-size image) Any system can be described at a multitude of spatial and temporal scales. One long-standing [...] Read more. Any system can be described at a multitude of spatial and temporal scales. One long-standing reductionist assumption is that the lowest possible microscale should contain the maximum information about the causal structure of any system. While some have argued that higher-level macroscales might be useful because of computational constraints, it has been widely accepted that they are like maps; i.e., at best macroscales are lossless compressions of the underlying territory. Assessing causal structures using the information theory leads to a different conclusion: macroscales can act like error-correcting codes for causal relationships. From this error-correcting ability, macroscales can have more causal influence and contain greater information than their underlying microscales. View this paper