logo
Home Academics Computer & IT Introduction To Evolutionary Informatics
product-img product-img
Introduction To Evolutionary Informatics
Enjoying reading this book?

Introduction To Evolutionary Informatics

by Robert J Marks Ii, William A Dembski, et al.
4.4
4.4 out of 5
Creators
Author Robert J Marks Ii, William A Dembski, et al.
Publisher World Scientific Publishing Co Pte Ltd
Synopsis

Enjoying reading this book?
Binding: Paperback
About the author Robert J Marks II is Distinguished Professor of Engineering in the Department of Engineering at Baylor University, USA. Marks's professional awards include a NASA Tech Brief Award and a best paper award from the American Brachytherapy Society for prostate cancer research. He is Fellow of both IEEE and The Optical Society of America. His consulting activities include: Microsoft Corporation, DARPA, and Boeing Computer Services. He is listed as one of the 50 Most Influential Scientists in the World Today by TheBestSchools.org. (2014). His contributions include: the Zhao-Atlas-Marks (ZAM) time-frequency distribution in the field of signal processing, and the Cheung-Marks theorem in Shannon sampling theory. Marks's research has been funded by organizations such as the National Science Foundation, General Electric, Southern California Edison, the Air Force Office of Scientific Research, the Office of Naval Research, the United States Naval Research Laboratory, the Whitaker Foundation, Boeing Defense, the National Institutes of Health, The Jet Propulsion Lab, Army Research Office, and NASA. His books include Handbook of Fourier Analysis and Its Applications (Oxford University Press), Introduction to Shannon Sampling and Interpolation Theory (Springer Verlag), and Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks (MIT Press) with Russ Reed. Marks has edited/co-edited five other volumes in fields such as power engineering, neural networks, and fuzzy logic. He was instrumental in defining the discipline of computational intelligence (CI) and is a co-editor of the first book using CI in the title: Computational Intelligence: Imitating Life (IEEE Press, 1994). His authored/coauthored book chapters include nine papers reprinted in collections of classic papers. Other book chapters include contributions to Michael Arbib's The Handbook of Brain Theory and Neural Networks (MIT Press, 1996), and Michael Licona et al.'s Evidence for God (Baker Books, 2010), Marks has also authored/co-authored hundreds of peer-reviewed conference and journal papers. William A Dembski is Senior Research Scientist at the Evolutionary Informatics Lab in McGregor, Texas; and also an entrepreneur developing educational websites and software. He holds a BA in Psychology, MS in Statistics, PhD in Philosophy, and a PhD in Mathematics (awarded in 1988 by the University of Chicago, Chicago, Illinois, USA), and an MDiv degree from Princeton Theological Seminary (1996, New Jersey, USA). Dembski's work experience includes being an Associate Research Professor with the Conceptual Foundations of Science, Baylor University, Waco, Texas, USA. He has taught at Northwestern University, Evanston, Illinois, USA; the University of Notre Dame, Notre Dame, Indiana, USA; and the University of Dallas, Irving, Texas, USA. He has done postdoctoral work in mathematics with the Massachusetts Institute of Technology, Cambridge, USA; in physics with the University of Chicago, USA; and in computer science with Princeton University, Princeton, New Jersey, USA. He is a Mathematician and Philosopher. He has held National Science Foundation graduate and postdoctoral fellowships, and has published articles in mathematics, engineering, philosophy, and theology journals and is the author/editor of more than twenty books. Winston Ewert is currently a Software Engineer in Vancouver, Canada. He is a Senior Research Scientist at the Evolutionary Informatics Lab. Ewert holds a PhD from Baylor University, Waco, Texas, USA. He has written a number of papers relating to search, information, and complexity including studies of computer models purporting to describe Darwinian evolution and developing information theoretic models to measure specified complexity.
Specifications
  • Language: English
  • Publisher: World Scientific Publishing Co Pte Ltd
  • Pages: 332 pages
  • Binding: Paperback
  • ISBN: 9789813142145
  • Category: Computer & IT
  • Related Category: IT Certification
Share this book Twitter Facebook


Suggested Reads
Suggested Reads
Books from this publisher
Hyperbolic Problems: Theory, Numerics And Applications (In 2 Volumes): 18 (Series in Contemporary Applied Mathematics) by Tatsien Li and Song Jiang
Open Innovation And Knowledge Management In Small And Medium Enterprises: 3 (Open Innovation: Bridging Theory and Practice) by Susanne Durst, Serdal Temel, et al.
Maritime Governance And South Asia: Trade, Security And Sustainable Development In The Indian Ocean (Maritime Studies) by Jivanta Schottli
Vindication Of Cosmic Biology: Tribute To Sir Fred Hoyle (1915-2001) by Nalin Chandra Wickramasinghe
Concise Calculus by Sheng Gong and Youhong Gong
Emerging Medical Technologies by Gennady Ermak
Books from this publisher
Related Books
Biomimetic Robotic Artificial Muscles Kwang Jin Kim, Hyouk Ryeol Choi, et al.
Fundamentals Of Robotics: Linking Perception To Action: 54 (Series In Machine Perception And Artificial Intelligence) Ming Xie
Fundamentals Of Quantum Information (Extended Edition) Hiroyuki Sagawa and Nobuaki Yoshida
Cyber Security Practitioner's Guide Hamid Jahankhani
Introduction To The Analysis Of Algorithms, An (3rd Edition) (Theoretical Computer Science) Michael Soltys-kulinicz
Algorithms For Analysis, Inference, And Control Of Boolean Networks (Theoretical Computer Science) Tatsuya Akutsu
Related Books
Bookshelves
Stay Connected