Emergence (biology)/Bibliography: Difference between revisions

From Citizendium
Jump to navigation Jump to search
imported>Anthony.Sebastian
(add to ref)
imported>Anthony.Sebastian
(add biblio item)
Line 2: Line 2:


*{{cite book |title=Theory of Neural Information Processing Systems |author= A. C. C. Coolen, R. Kuhn, P. Sollich |url=http://books.google.com/books?id=bVpnKFLM4RcC&pg=PA3&lpg=PA3 |chapter=Principles of neural information processing |isbn=0198530234 |publisher=Oxford University Press |year=2005}} A technical treatment of neural networks and their differences from conventional computer systems.
*{{cite book |title=Theory of Neural Information Processing Systems |author= A. C. C. Coolen, R. Kuhn, P. Sollich |url=http://books.google.com/books?id=bVpnKFLM4RcC&pg=PA3&lpg=PA3 |chapter=Principles of neural information processing |isbn=0198530234 |publisher=Oxford University Press |year=2005}} A technical treatment of neural networks and their differences from conventional computer systems.
*Jogalekar A. (2012) [http://blogs.scientificamerican.com/the-curious-wavefunction/2012/07/23/the-higgs-boson-and-the-future-of-science/ The Higgs boson and the future of science]. ''Scientific American Online'' July 23, 2012.


*{{cite book |title=Exploring the Way Life Works: The Science of Biology |author=Mahlon B. Hoagland, Bert Dodson, Judith Hauck |url=http://books.google.com/books?id=hHpFMh902XEC&pg=PA219 |pages=pp. 219 ''ff'' |chapter=§6.5 Allostery and molecular communication |isbn=076371688X |year=2001 |publisher=Jones & Bartlett Learning}} A textbook that describes (among much else) feedback systems regulating biological networks.
*{{cite book |title=Exploring the Way Life Works: The Science of Biology |author=Mahlon B. Hoagland, Bert Dodson, Judith Hauck |url=http://books.google.com/books?id=hHpFMh902XEC&pg=PA219 |pages=pp. 219 ''ff'' |chapter=§6.5 Allostery and molecular communication |isbn=076371688X |year=2001 |publisher=Jones & Bartlett Learning}} A textbook that describes (among much else) feedback systems regulating biological networks.

Revision as of 21:05, 29 November 2012

This article is developing and not approved.
Main Article
Discussion
Related Articles  [?]
Bibliography  [?]
External Links  [?]
Citable Version  [?]
 
A list of key readings about Emergence (biology).
Please sort and annotate in a user-friendly manner. For formatting, consider using automated reference wikification.
  • O'Connor, Timothy and Wong, Hong Yu (Feb 28, 2012). Edward N. Zalta, ed,:Emergent Properties. The Stanford Encyclopedia of Philosophy (Spring 2012 Edition).
  • Morowitz HJ. (2002) The Emergence of Everything: How the World became Complex. Oxford University Press. ISBN 019513513X. | Book Full-Text. | Book Description; Author Information; Reviews.
    • We are clearly at the beginning of viewing science from the new perspective of emergence. I believe that it will provide insights into the evolutionary unfolding of our universe, our solar system, our biota, and our humanity.
    • "Morowitz has provided the first state-of-the-art overview of the theory of emergence across the scientific disciplines." —Philip Clayton, Harvard University
    • This book has a pronouncedly theological cast as evidenced, for example, by this quotation (far from unusual): "If we identify the immanent God, the mysterious laws of nature, with God the father, then emergence will be the efficient operation of that God, which Christianity views as the Holy Spirit. We will come back to these ideas in more detail later." Morowitz, (pp. 23-24)
  • Holland JH.(1998) Emergence: From Chaos to Order. Perseus Books. ISBN 0-201-14943-5.
    • This book will demonstrate again and again that a small number of rules or laws can generate systems of surprising complexity. Moreover, this complexity is not just the complexity of random patterns. Recognizable features exist, as in a pointillist painting. In addition, the systems are animated-dynamic; they change over time. Though the laws are invariant, the things they govern change. The varying patterns of the pieces in a board game, or the trajectories of baseballs, planets, and galaxies under Newton's laws, show the way. The rules or laws generate the complexity, and the ever-changing flux of patterns that follows leads to perpetual novelty and emergence. Indeed, in most cases we will not understand these complex systems until we understand the emergent phenomena that attend them.