Special Issue "Entropy in Experimental Design, Sensor Placement, Inquiry and Search"
A special issue of Entropy (ISSN 1099-4300).
Deadline for manuscript submissions: closed (1 March 2015)
Prof. Dr. Kevin H. Knuth (Website)
Department of Physics and Department of Informatics, University at Albany, 1400 Washington Avenue, Albany NY 12222, USA
Fax: +1 518 442 5260
Interests: entropy; probability theory; Bayesian; foundational issues; lattice theory; data analysis; maxent; machine learning; robotics; information theory; entropy-based experimental design
Entropy, as a measure of uncertainty or missing information, naturally quantifies the process of inquiry. Whether the act of inquiry involves formal questions, verbal requests for information, intelligent search, sensor placement or experimental design, entropy promises to play a prominent role in optimizing these activities by allowing one to quantify the relevance of an act of inquiry. This special issue will bring together researchers who have performed theoretical research in exploring the role of entropy in optimizing relevance, as well as practitioners who have used maximum entropy methods in experimental design, sensor placement and intelligent search.
Prof. Dr. Kevin H. Knuth
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.
- erotetic logic
- experimental design
- relative entropy
- sensor placement
- Shannon information