TY  - BOOK
AU  - Bossomaier,Terry R.J.
AU  - Green,David G.
TI  - Complex systems
SN  - 9780511758744 (ebook)
AV  - Q172.5.C45 C64 2000
U1  - 003/.857 21
PY  - 2000///
CY  - Cambridge
PB  - Cambridge University Press
KW  - Chaotic behavior in systems
KW  - Computational complexity
KW  - Fractals
KW  - Artificial intelligence
N1  - Title from publisher's bibliographic system (viewed on 05 Oct 2015); 1; Introduction; T.R.J. Bossomaier and D.G. Green --; 2; Self-organisation in complex systems; D.G. Green --; 3; Network evolution and the emergence of structure; D.A. Seeley --; 4; Artificial life: growing complex systems; Z. Aleksic --; 5; Deterministic and random fractals; John E. Hutchinson --; 6; Non-linear dynamics; D.E. Stewart and R.L. Dewar --; 7; Non-linear control systems; M.R. James --; 8; Parallel computers and complex systems; G.C. Fox and P.D. Coddington --; 9; Are ecosystems complex systems?; R.H. Bradbury, D.G. Green and N. Snoad --; 10; Complexity and neural networks; Terry Bossomaier
N2  - This book, first published in 2000, explores the exciting field of complexity. It features in-depth coverage of important theoretical areas, including fractals, chaos, non-linear dynamics, artificial life and self-organization. It also provides overviews of complexity in several applied areas, including parallel computation, control systems, neural systems and ecosystems. Some of the properties that best characterize complex systems, including algorithmic richness, non-linearity and abundant interactions between components are examined. In this way the book draws out themes, especially the ideas of connectivity and natural computation, that reveal deep, underlying similarities between phenomena that have formerly been treated as completely distinct. The idea of natural computation is particularly rich in fresh approaches applicable to both biology and computing. Analogies such as the DNA code as life's underlying program, or organisms as automata, are very compelling. Conversely, biologically inspired ideas such as cellular automata, genetic algorithms and neural networks are at the forefront of advanced computing
UR  - https://doi.org/10.1017/CBO9780511758744
ER  -