内容简介：A collection of resources that apply formal systems to model biological processes. Some easily accessible books to understand the general approach to this field might be:McCullouch and Pitts study of neurons in biology birthed the pivotal paper that kickst
Formal Systems in Biology
A collection of resources that apply formal systems to model biological processes. Some easily accessible books to understand the general approach to this field might be:
McCullough-Pitts Work
A Logical Calculus of the Ideas Immanent in Nervous Activity (1943)
McCullouch and Pitts study of neurons in biology birthed the pivotal paper that kickstarted A.I., regular languages , and digital computers. It was the only paper included in the EDVAC report by John Von Neumann.
An interactive demo of their model is available here: https://justinmeiners.github.io/neural-nets-sim/
Stainslaw Ulam and Jon Von Neumann
Cellular Automata
Probabilistic Logics and the Synthesis of reliable organisms from unreliable components (1952)
L Systems
Mathematical models for cellular interactions in development I (1968)
Mathematical models for cellular interactions in development II (1968)
Karl Sims
Evolved Virutal Creatures (1994)
Walter Fontana and Leo Buss (1996)
The Barrier of Objects From Dynamical Systems to Bounded Organizations
Regev, Silvermann, Shapiro
Representation and Simulation of Biochemical Process Using the Pi Calculus Process Algebra (2001)
Cell as Computation (2002)
The π-calculus as an abtsraction for biomolecular systems (2004)
Ehud Lamm and Ron Unger
Biological Computation
P System
Alan Turing
The Chemical Basis of Morphogenesis (1952)
Reaction-Diffusion Systems
Marius Buliga
Chemlambda
Jeffrey Ventrella
Clusters
Genepool
Resources to understand the field
Neurocomics (Beginner)
Introducing Evolution (Beginner)
Introducing Genetics (Beginner)
Introducing Epigenetics (Beginner)
Complexity: A Very Short Introduction (Intermediate)
Games of Life (Intermediate)
Books
Computational Methods in Systems Biology (2006)
Prior Art
Ramón y Cayal
Golgi
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算法技术手册
George T. Heineman、Gary Pollice、Stanley Selkow / 杨晨、李明 / 机械工业出版社 / 2010-3 / 55.00元
《算法技术手册》内容简介：开发健壮的软件需要高效的算法，然后程序员们往往直至问题发生之时，才会去求助于算法。《算法技术手册》讲解了许多现有的算法，可用于解决各种问题。通过阅读它，可以使您学会如何选择和实现正确的算法，来达成自己的目标。另外，书中的数学深浅适中，足够使您可以了解并分析算法的性能。 较之理论而言，《算法技术手册》更专注于应用。《算法技术手册》提供了高效的代码解决方案，使用多种语言......一起来看看 《算法技术手册》 这本书的介绍吧!
