Special Issue "Dynamical Equations and Causal Structures from Observations"
A special issue of Entropy (ISSN 1099-4300).
Deadline for manuscript submissions: 30 May 2015
Dr. Carlo Cafaro
Department of Mathematics, Clarkson University, 8 Clarkson Ave, Potsdam, NY 13699-5815, USA
Interests: causality; complexity; entropy; inference; information geometry; classical and quantum information physics
The relationship between theory, experiment, and computer simulations are very important in modern science due to the complexity of the various problems being investigated. In particular, describing and understanding natural phenomena is the goal of theoretical physics. In this Special Issue, we propose the discussion of the following two problems: first, deducing dynamical equations from data; second, detecting causal dependencies from data. In particular, the latter problem is commonly known as the causal inference problem. These two problems are usually addressed by several types of scientists: classical and quantum physicists, applied mathematicians, computer scientists, etc. The tools needed to tackle such problems are quite diverse as well: information theory, probability calculus, statistics, statistical inference, dynamical systems, foundational physics, etc. Most of all, entropy is a key ingredient that appears in all the above-mentioned tools.
It is our greatest pleasure to welcome your contributions to this Special Issue with the wish of advancing our conceptual, experimental, and computational understanding of such challenging problems. At the same time, we hope to highlight the role of entropy in both classical and quantum causality inference problems.
Dr. Carlo Cafaro
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed Open Access monthly journal published by MDPI.
- classical and quantum physics
- information theory
- dynamical systems
- probability calculus