Date of Award
1-1-2011
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
College/School/Department
Department of Physics
Content Description
1 online resource (ix, 153 pages) : illustrations (some color)
Dissertation/Thesis Chair
Kevin H Knuth
Committee Members
Ariel Caticha, Carolyn MacDonald, Willam Lanford, Michael Gennert
Keywords
algorithm, automation, entropy, inference, inquiry, robotics, Experimental design, Entropy (Information theory), Physics, Mathematical physics
Subject Categories
Artificial Intelligence and Robotics | Physics | Statistics and Probability
Abstract
The aim of this thesis is to explore the application of probability and information theory in experimental design, and to do so in a way that combines what we know about inference and inquiry in a comprehensive and consistent manner.
Recommended Citation
Malakar, Nabin Kumar, "Autonomous entropy-based intelligent experimental design" (2011). Legacy Theses & Dissertations (2009 - 2024). 393.
https://scholarsarchive.library.albany.edu/legacy-etd/393
Included in
Artificial Intelligence and Robotics Commons, Physics Commons, Statistics and Probability Commons