复杂性科学经典论文

复杂性科学涵盖面极其广泛，为了方便对此领域感兴趣的学者能够快速地熟悉复杂性科学的历史、了解到复杂性可学的发展脉络，在此收集了若干复杂性科学经典读物的列表。欢迎大家一起来补充。

Santa Fe研究所推荐的25篇经典论文

Foundational Papers in Complexity Science

Last Revision: October 22, 2009 (From Santa Fe’s Institute’s website) [1]

中英对照目录

1. Waddington, C.H. 1942. Canalization of Development and the Inheritance of Acquired Characters. Nature 150:563-565 (沃丁顿. 1942. 渠化的发展与后天性状的遗传. 自然150:563-565 )
2. Rosenblueth, A., and N. Wiener. 1945. The Role of Models in Science. Philosophy of Science 12 (4):316-321. (罗森布鲁斯和维纳. 1945. 模型在科学中的作用. 科学哲学12（4）:316 - 321.)
3. Shannon, C.E. 1948. A Mathematical Theory of Communication. Bell System Technical Journal 27:379-423 623-656. (香农. 1948. 通信的数学理论. 贝尔技术期刊27:379-423 623 - 656.)
4. Turing, A.M. 1950. Computing Machinery and Intelligence. Mind, New Series, 59 (236):433-460. (图灵. 1950. 计算机和智能. 思维59（236）:433 - 460.)
5. Turing, A.M. 1952. The Chemical Basis of Morphogenesis. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 237 (641):37-72. (图灵. 1952. 形态发生的化学基础. 伦敦皇家学会哲学汇刊. B辑，生物科学237（641）:37-72.)
6. Minksy, M. 1961. Steps Toward Artificial Intelligence. Proceedings of the Institute of Radio Engineers 49 (1):8-30. (明斯基. 1961. 走向人工智能. 无线电工程研究所通讯49（1）:8 - 30.)
7. Landauer, R. 1961. Irreversibility and Heat Generation in the Computing Process. IBM Journal of Research and Development 5:183-191. (兰道尔. 1961. 计算的不可逆性和热过程. IBM研发期刊5:183 - 191.)
8. Arrow, K.J. 1962. The Economic Implications of Learning by Doing. Review of Economic Studies 80:155-173. (阿罗. 1962. 实践习得的经济学启示. 经济研究评论80:155 - 173.)
9. Kolmogorov, A.N. 1965. Three Approaches to the Quantitative Definition of Information. Problems of Information and Transmission 1 (1):1-7. (柯尔莫哥洛夫. 1965. 信息的三种量化界定方法。信息与传输问题1（1）:1 - 7.)
10. Raup, D.M. 1966. Geometric Analysis of Shell Coiling; General Problems. Journal of Paleontology 40 (5):1178-1190. (拉普. 1966. 贝壳卷曲的一般几何分析.古生物40（5）:1178 - 1190.)
11. Neumann, J. V. 1966. Theory of Self-Reproducing Automata. In Theory of Self-Reproducing Automata, edited by A. W. Burks. Urbana: University of Illinois Press. Original edition, Fourth University of Illinois lecture. (冯诺依曼. 1966. 细胞自动机的自复制理论. 《细胞自动机的自复制理论》.伯克. 伊利诺伊大学出版.)
12. Chaitin, G.J. 1966. On the Length of Programs for Computing Finite Binary Sequences. Journal of the ACM 13:547-569. (蔡廷. 1966. 可计算有限二进制序列的程序的长度。计算机学会会刊13:547 - 569.)
13. Anderson, P.W. 1972. More Is Different. Science, New Series 177 (4047):393-396. (安德森. 1972. 多即不同. 科学177（4047）:393 - 396.)
14. Conant, Roger C. and W. Ross Ashby. 1970. Every Good Regulator of a System Must be a Model of That System. International Journal of Systems Science 1 (2):89-97.(罗杰和阿什比. 1970. 系统的良好调节器即该系统的模型. 国际系统科学杂志1（2）:89 - 97.)
15. Simon, H. 1973. The Organization of Complex Systems. In Hierarchy Theory, edited by H. H. Pattee. New York: George Braziller. (西蒙. 1973. 复杂系统的组织. 《层次理论》帕蒂. 纽约：乔治Braziller出版社.)
16. Bennett, C.H. 1973. Logical Reversibility of Computation. IBM Journal of Research and Development 17 (6):525-532. (贝内特. 1973.计算的逻辑可逆性. IBM研发期刊17（6）:525 – 532.)
17. Smith, J.M. 1974. The theory of games and the evolution of animal conflicts. Journal of Theoretical Biology 47 (1):209-21. (史密斯. 1974. 博弈理论与动物冲突的进化. 理论生物学47（1）:209 - 21)
18. May, R.M. 1976. Simple Mathematical Models with Very Complicated Dynamics. Nature 261 (5560):459-67. (梅. 1976. 简单的数学模型可导致非常复杂的动力学. 自然261（5560）:459 - 67)
19. Holland, J.H., and J.S. Reitman. 1977. Cognitive Systems Based on Adaptive Algorithms. SIGART Newsletter (63):49. (霍兰和雷特曼. 1977. 基于适应性算法的认知系统. SIGART通讯（63）：49)
20. Gould, S.J., and N. Eldredge. 1977. Punctuated Equilibria: the Tempo and Mode of Evolution Reconsidered. Paleobiology 3 (2):115-151. (古尔德和埃尔德雷奇. 1977. 间断的平衡：进化的步伐及模式的再思考. 古生物学3（2）:115 – 151.)
21. Hopfield, J.J. 1982. Neural Networks and Physical Systems with Emergent Collective Computational Abilities. Proceedings of the National Academy of Sciences, USA 79:2554-2558. (霍普菲尔. 1982. 可涌现集体计算能力的神经网络和物理系统. 美国国家科学院院刊 79:2554-2558)
22. Wolfram, S. 1984. Universality and Complexity in Cellular Automata. Physica D 10:1-35. (沃尔弗拉姆. 1984. 细胞自动机的普遍性和复杂性. 物理学D辑 10:1-35.)
23. Langton, C.G. 1986. Studying Artificial Life with Cellular Automata. Physica D: Nonlinear Phenomena 22 (1-3):120-149. (朗顿. 1986. 研究人工生命与细胞自动机. 物理学D辑 22（1-3）:120 – 149.)
24. Derrida, B., E. Gardner, and A. Zippelius. 1987. An exactly solvable asymmetric neural network model. Europhysics Letters 4 (2):167-173. (德里达和齐佩利乌斯. 1987. 一个完全可解的非对称神经网络模型. 欧洲物理学通讯4（2）:167 – 173.)
25. Gell-Mann, Murray and Seth Lloyd. 2003. Effective Complexity. Santa Fe Institute Working Paper #03-12-069. (盖尔曼和劳埃德. 2003. 有效的复杂性. 圣塔菲研究所的工作文件＃03-12-069.)

计算士整理了一个rar文件，搜集了这个书单中的大部分论文，可以在这里下载到[2]

复杂网络研究的经典文献

1. Barabási, Albert-László and Réka Albert, Emergence of scaling in random networks, Science, 286:509-512, October 15, 1999  这篇文章首次发现了互联网的无标度现象，并提出了著名的BA无标度网络模型。
2. Watts, Duncan J.; Strogatz, Steven H., Collective dynamics of 'small-world' networks. Nature 393 (6684): 440–442, June 1998 这篇文章首次发现了复杂网络的小世界现象，并提出了著名的WS小世界网络模型。