Table Of ContentEmergence, Complexity and Computation ECC
Ali Sanayei
Ivan Zelinka
Otto E. Rössler Editors
ISCS 2013:
Interdisciplinary
Symposium on
Complex Systems
Emergence, Complexity and Computation
Volume 8
Series editors
IvanZelinka,TechnicalUniversityofOstrava,Ostrava,CzechRepublic
e-mail:[email protected]
Andrew Adamatzky,University oftheWest of England,Bristol,UK
e-mail: [email protected]
GuanrongChen,CityUniversityofHongKong,HongKong
e-mail:[email protected]
Editorial Board
Ajith Abraham, MirLabs,USA
AnaLuciaC.Bazzan,UniversidadeFederaldoRioGrandedoSul,PortoAlegre,
RS,Brazil
Juan C.Burguillo,University ofVigo, Spain
SergejCˇelikovsky´,AcademyofSciencesoftheCzechRepublic,CzechRepublic
Mohammed Chadli,University ofJules Verne,France
Emilio Corchado,University ofSalamanca, Spain
Donald Davendra, Technical University ofOstrava, Czech Republic
Andrew Ilachinski, Center forNaval Analyses, USA
JouniLampinen, Universityof Vaasa, Finland
MartinMiddendorf, Universityof Leipzig, Germany
EdwardOtt, University ofMaryland,USA
Linqiang Pan,Huazhong Universityof Scienceand Technology, Wuhan,China
Gheorghe Pa˘un,Romanian Academy, Bucharest, Romania
Hendrik Richter, HTWK LeipzigUniversity ofApplied Sciences, Germany
Juan A.Rodriguez-Aguilar,IIIA-CSIC, Spain
OttoRössler,InstituteofPhysicalandTheoreticalChemistry,Tübingen,Germany
VaclavSnasel, Technical University ofOstrava, Czech Republic
Ivo Vondrák,Technical UniversityofOstrava, Czech Republic
HectorZenil, KarolinskaInstitute, Sweden
For furthervolumes:
http://www.springer.com/series/10624
About this Series
The Emergence, Complexity and Computation (ECC) series publishes new
developments,advancementsandselectedtopicsinthefieldsofcomplexity,com-
putationandemergence.Theseriesfocusesonallaspectsofreality-basedcompu-
tation approaches from an interdisciplinary point of view especially from applied
sciences,biology,physics,orChemistry.Itpresentsnewideasandinterdisciplinary
insight on the mutual intersection of subareas of computation, complexity and
emergence and its impact and limits to any computing based on physical limits
(thermodynamic and quantum limits, Bremermann’s limit, Seth Lloyd limits…)
aswellasalgorithmiclimits(Gödel’sproofanditsimpactoncalculation,algorithmic
complexity, the Chaitin’s Omega number and Kolmogorov complexity,
non-traditionalcalculationslikeTuringmachineprocessanditsconsequences,…)
andlimitationsarisinginartificialintelligencefield.Thetopicsare(butnotlimited
to) membrane computing, DNA computing, immune computing, quantum com-
puting,swarmcomputing,analogiccomputing,chaoscomputingandcomputingon
theedgeofchaos,computationalaspectsofdynamicsofcomplexsystems(systems
with self-organization, multiagent systems, cellular automata, artificial life,…),
emergence of complex systems and its computational aspects, and agent based
computation.Themainaimofthisseriesittodiscusstheabove mentionedtopics
fromaninterdisciplinarypointofviewandpresentnewideascomingfrommutual
intersectionofclassicalaswellasmodernmethodsofcomputation.Withinthescope
oftheseriesaremonographs,lecturenotes,selectedcontributionsfromspecialized
conferencesandworkshops,specialcontributionfrominternationalexperts.
Ali Sanayei Ivan Zelinka
•
Otto E. Rössler
Editors
ISCS 2013: Interdisciplinary
Symposium on Complex
Systems
123
Editors
AliSanayei OttoE. Rössler
Universityof Tübingen Instituteof Physicaland Theoretical
Tübingen Chemistry
Germany Universityof Tübingen
Tübingen
IvanZelinka Germany
Department of Computer Science
VŠB-Technical University ofOstrava
Ostrava
Czech Republic
ISSN 2194-7287 ISSN 2194-7295 (electronic)
ISBN 978-3-642-45437-0 ISBN 978-3-642-45438-7 (eBook)
DOI 10.1007/978-3-642-45438-7
Springer Heidelberg NewYork Dordrecht London
LibraryofCongressControlNumber:2014931496
(cid:2)Springer-VerlagBerlinHeidelberg2014
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Preface
The book you hold in your hands is the outcome of the ‘‘2013 Interdisciplinary
Symposium on Complex Systems’’ held at the historical capital of Bohemia as a
continuationofourseriesofsymposiainthescienceofcomplexsystems.Prague,
oneofthemostbeautifulEuropeancities,hasitsownbeautifulgeniusloci.Here,a
great number of important discoveries were made and many important scientists
spent fruitful and creative years to leave unforgettable traces. The perhaps most
significant period was the time of Rudolf II who was a great supporter of the art
and the science and attracted a great number of prominent minds to Prague. This
trendwouldcontinue.TychoBrahe,NielsHenrikAbel,JohannesKepler,Bernard
Bolzano, August Cauchy Christian Doppler, Ernst Mach, Albert Einstein and
manyothersfolloweddevelopingfundamentalmathematicalandphysicaltheories
or expanding them. Thus in the beginning of the seventeenth century, Kepler
formulatedhere the first twoof his three laws ofplanetary motion onthe basisof
Tycho Brahe’s observations. In the nineteenth century, nowhere differentiable
continuous functions (of a fractal character) were constructed here by Bolzano
along with a treatise on infinite sets, titled ‘Paradoxes of Infinity’ (1851). Wei-
erstrass would later publish a similar function in 1872. In 1842, Doppler as a
professor ofmathematics at the Technical Universityof Prague here first lectured
about a physical effect to bear his name later. And the epoch-making physicist
Albert Einstein—while being a chaired professor of theoretical physics at the
German University of Prague—arrived at the decisive steps of his later finished
theory of general relativity during the years 1911–1912. In Prague, also many
famous philosophers and writers accomplished their works; for instance, play-
wright Karel Cˇapek coined the word ‘‘robot’’ in Prague (‘robot’ comes from the
Czech word ‘robota’ which means ‘forced labor’).
WebelievethatthePraguegeniuslociwillvibefruitfullywiththeconference’s
topic.Especiallysincetheparadigmitself—the‘‘ScienceofComplexSystems’’—
does not have a unique meaning so far since there still does not exist a canonical
definition of the word complexity given the ongoing presence of divergent points
of view. In the face of this fact we hear the reader asking us: What is the reason
that we push on with our series of symposia with its amalgamation of different
fields and viewpoints which sometimes do not appear consonant with each other?
v
vi Preface
We would reply with a single word: ‘‘Creation’’. This answer we take from Paul
Dirac who was once asked by Michael Noakes—a portrait painter of the British
royal family—‘‘Can you put into layman’s terms what you are working on,
Professor?’’ ‘‘Creation’’, was the reply he got. When Noakes, deeply amazed by
such a short profound answer, asked for more explanation, he heard: ‘‘Creation
wasonevastbang.Talkofasteadystateisnonsense.’’Whenhetriedtothrow-in
thatifnothinghadexistedbeforehand,whatwastheretobang,hewouldmeetwith
an elegant evasion: ‘‘That is not a meaningful question!’’
Inthisspiritofananticipatedbutnotyetexistingelegance,thereader—student
or professional scientist—will in the following encounter four general categories
of papers in the following: Fundamental and theoretical, systemic modeling,
systemic networking, and applications of various kinds. All papers represent
innovative ideas, philosophical overviews or state-of-the-art applications in
miscellaneous fields. At this point we would like to express our gratitude to our
participants, our program committee members, and all our friends at the Czech
Technical University in Prague who helped us continue our symposia at a
progressive rather than ‘‘steady state’’ rate. We also acknowledge our keynote
speakers in this year’s symposium for sharing their results: Yaneer Bar-Yam,
Florentino Borondo, Robert Devaney and Stefan Thurner.
As a token of appreciation we dedicate the book to Graham Farmelo who
revived Dirac’s attitude in science—‘‘Physical laws should have mathematical
beauty’’ and ‘‘creation means not to get locked up in a steady state’’—in his
penetrating 2009 biography which opens up a new way to look at the world as a
single complex system.
August 2013 Ali Sanayei
Ivan Zelinka
Otto E. Rössler
Contents
Part I Complex Systems Science
The Complex Geometry of the Mandelbrot Set . . . . . . . . . . . . . . . . . 3
Robert L. Devaney
Is There a World Behind Shannon? Entropies
for Complex Systems. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
Stefan Thurner and Rudolf Hanel
Complex Systems Science: From Cell Regulation to the Global
Food Crisis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Yaneer Bar-Yam
Hidden Complexity of Evolutionary Dynamics: Analysis. . . . . . . . . . . 29
Ivan Zelinka, Lenka Skanderova, Petr Saloun, Roman Senkerik
and Michal Pluhacek
The Brain Equation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47
Otto E. Rössler
Nature Versus Nurture in Complex and Not-So-Complex Systems . . . 57
D. L. Stein and C. M. Newman
Complex Self-Reproducing Systems . . . . . . . . . . . . . . . . . . . . . . . . . . 65
Roderick Edwards and Aude Maignan
On Fundamentals of Global Systems Control Science (GSCS). . . . . . . 77
Raimundas Jasinevicius and Vytautas Petrauskas
Emergent Phenomena in Natural Complex Systems . . . . . . . . . . . . . . 89
Jiri Bila
vii
viii Contents
Evolutionary Systems in Complex Signal Analysis . . . . . . . . . . . . . . . 101
Tomas Brandejsky
Macroscopic Description of Complex Self-Organizing System:
Belousov–Zhabotinsky Reaction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109
Anna Zhyrova, Dalibor Stys and Petr Cisar
Part II Systemic Modeling
Classical Invariants in the Quantum Mechanics
of Chaotic Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119
F. Borondo
Chaos Powered Symbolic Regression in Be Stars Spectra
Modeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131
Ivan Zelinka, Lenka Skanderova, Petr Saloun, Roman Senkerik
and Michal Pluhacek
Mathematical Modeling of Heat Loss of a Sphere in Contact
with a Well Stirred Fluid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141
Juan Carlos Beltrán-Prieto and Karel Kolomazník
Concept of Dynamical Traps: Model Systems of Human
Actions and Experimental Evidence. . . . . . . . . . . . . . . . . . . . . . . . . . 151
Ihor Lubashevsky, Arkady Zgonnikov and Dmitry Parfenov
Model of Cognitive Functions for Description of the Creative Design
Process with Computer Support: Improving of the Interpretation
Method for the Computer Conceptual Re-Design. . . . . . . . . . . . . . . . 163
Jakub Jura and Jirˇí Bíla
Dynamical Systems Approach to Atherosclerosis Modeling. . . . . . . . . 173
Johan L. A. Dubbeldam
Deterministic Modeling Spatio-Temporal Dynamics of Delay-Induced
Circadian Oscillations in Neurospora crassa. . . . . . . . . . . . . . . . . . . . 179
Dmitry Bratsun and Andrey Zakharov
Adaptive Numerical Simulations of Reaction-Diffusion Systems
with Time-Delayed Feedback. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191
Dmitry Bratsun and Andrey Zakharov
Contents ix
Extracting the QRS Complexity and R Beats in Electrocardiogram
Signals Using the Hilbert Transform . . . . . . . . . . . . . . . . . . . . . . . . . 203
Ricardo Rodríguez, Adriana Mexicano, Salvador Cervantes,
Jiri Bila and Rafael Ponce
Analyses of the Chaotic Behavior of the Electricity Price Series . . . . . 215
Radko Krˇízˇ and Šteˇpán Kratochvíl
Modeling Financial Time Series: Multifractal Cascades
and Rényi Entropy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227
Petr Jizba and Jan Korbel
The Global Multi Factor Model of Seismic Activity: Priorities . . . . . . 237
Natalia P. Bulatova
Modeling Spatio-Temporal Dynamics of Taiga Boreal Forest . . . . . . . 245
Andrey Lyushnin and Dmitry Bratsun
Part III Systemic Networking
The Network of the International Criminal Court Decisions
as a Complex System. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255
Fabien Tarissan and Raphaëlle Nollez-Goldbach
Inference of Optimized Control Strategies for Genetic Networks . . . . 265
Natalja Strelkowa
Network Topologies for Cellular Automata Computation . . . . . . . . . . 271
Camelia Chira and Anca Andreica
Autocorrelated Random Walks and Entropy . . . . . . . . . . . . . . . . . . . 283
Rudolf Hanel and Stefan Thurner
Complex Network Construction Based on SOMA:
Vertices In-Degree Reliance on Fitness Value Evolution. . . . . . . . . . . 291
Lenka Skanderova, Ivan Zelinka and Petr Saloun
Sentiment Analysis in Complex Adaptive Systems . . . . . . . . . . . . . . . 299
Petr Šaloun, Ivan Zelinka and Martin Hruzik
