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Biology, Sociology, Geology by Computational Physicists, Volume 1 [Kõva köide]

(Cologne University, Institute for Theoretical Physics, Germany.), (Universidade Federal Fluminense, Insti), (Universidade Federal Fluminense, Instituto de Fisica, Brazil.), (Universidade Federal Fluminense, Instituto de Fisica, Brazil.)
Modern computational physics has radiated into many fields outside physics. Biology is an old love of physicists, economics a new one. Sociophysics may be on the rise, as is linguistics. Our book deals with biological ageing (including the question who will pay for your retirement), the formation of new biological species, the rise and the fall of human languages, the changes of opinion and other aspects of sociology, and finally earthquakes.



* Interdisciplinary coverage
* Research oriented
* Contains and explains programs
* Based on recent discoveries
* Little special knowledge required besides programming
* Suitable for undergraduate and graduate research projects

Preface v
Introduction
1(4)
Evolution
5(66)
Linearity
6(4)
Chaos
10(3)
Nonlinearity
13(7)
The edge of chaos
20(4)
Complexity and criticality
24(8)
Mean-field theories
32(2)
Scaling
34(6)
Biological evolution
40(9)
A simple evolutionary model
49(9)
Another simple model
58(11)
Conclusions
69(2)
Biological Ageing
71(32)
Facts and theories
71(6)
Facts
71(3)
Theories
74(3)
Penna model: asexual
77(7)
Basic model
77(3)
Applications and modifications
80(2)
Plasticity
82(2)
Penna model: sexual
84(10)
Basic model
84(2)
Applications and modifications
86(7)
Scaling
93(1)
Other models
94(3)
Additional remarks
97(4)
Eve effect
97(1)
Antagonistic pleiotropy
98(1)
Grandmother effect
99(2)
Conclusions
101(2)
Biological Speciation
103(48)
Sympatric speciation
104(25)
Minimal model: Speciation defined by a single bit
105(2)
Speciation defined by a single phenotypic trait
107(5)
Speciation in a food chain
112(6)
Phase transition in the sympatric speciation process
118(8)
Models with two phenotypic traits
126(1)
Conclusions
127(2)
Parapatric speciation
129(5)
Many-species models
134(17)
The Bak--Sneppen model
135(4)
Lineage branching
139(6)
Ecosystems
145(6)
Languages
151(28)
Empirical facts
151(1)
Differential equations
152(4)
Agent-based simulations
156(14)
Two languages
157(2)
Many languages: Homogeneous systems
159(6)
Many languages: Mixing, nucleation, interface
165(5)
Wang--Minett model
170(1)
Additional remarks
171(6)
Conclusions
177(2)
Social Sciences
179(48)
Retirement demography
180(6)
Mortality and birth rates
180(2)
Extrapolation
182(2)
Mortality deceleration?
184(2)
Conclusions
186(1)
Self-organisation of hierarchies
186(4)
Opinion dynamics
190(22)
Before 2000
190(2)
Three recent models
192(6)
Additional remarks
198(13)
Conclusions
211(1)
Traffic jams
212(2)
Networks
214(8)
Small world
214(1)
Scale free (BA)
215(2)
Selected properties of BA networks
217(1)
Modifications of BA networks
217(2)
Neural networks
219(3)
Social percolation
222(3)
Legal physics
225(2)
Earthquakes
227(12)
Computational models for earthquakes
228(1)
Short-range interactions
229(2)
Long-range interactions
231(1)
The Rundle--Jackson--Brown model
232(1)
Precursory dynamics
233(4)
Conclusion
237(2)
Summary
239(2)
Appendix: Programs
241(18)
Single-bit handling
241(1)
Ageing in Penna model
242(4)
Bak--Sneppen evolution
246(1)
Language competition
247(3)
Retirement demography
250(2)
Car traffic
252(2)
Scale-free networks
254(2)
Neural Hopfield--Hebb networks
256(3)
References 259(14)
Subject Index 273


University Professor of Theoretical Physics since 1977, research mostly with computer simulations (Monte Carlo), biophysics since 1986, ageing since 1993, econophysics since 1998, sociophysics since 2000, linguistics since 2004. During and after my PhD thesis (1989), I worked on traditional Statistical Mechanics problems, mainly related to magnetic phase transitions. In 1984, during a visit of Professor D. Stauffer to our Institute, I was introduced into the subject of Biological Ageing, and since then I have been working on modeling interdisciplinary evolutionary systems. Using and adapting the computational Penna model described in the second chapter of this book I have studied and simulated the Catastrophic Senescence of Pacific Salmon, the advantages of sexual reproduction in comparison to the asexual one, why does menopause evolve, why are we diploids instead of triploids, etc. Presently I am mostly interested in speciation processes where no physical barrier prevents the gene flux between different subspecies. I was elected the Vice-Director of my Institute from 1995 to 1999 and the Vice-Coordinator of the PhD Course from 2001 to 2003. Since 2003 I am the Secretary for Development of the University. Interest in Computational Physics, in particular model simulations for complex dynamic systems. More than 100 research papers in international journals, cited more than 1000 times, according to ISI. Various invited talks in international conferences. Published 2 previous books. After my PhD, I spent 4 years as a visiting scientist at the Colorado Center for Chaos and Complexity, University of Colorado. During this period, I got involved in an active multi-institutional research group on the dynamics of seismic sources, under the direction of Professor J.B. Rundle. My main colaborators in this field are M. Anghel (LANL), E.F. Preston (Indiana State University) and K.F. Tiampo (University of Western Ontario), other than J.B. Rundle, now the Chair of the Center for Computational Science and Engineering at the University of California.