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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact

Computational probability --- mathematical modeling --- stochastic processes --- simulation --- complex networks --- circadian clock mathematics --- DNA walks --- value chains --- option pricing --- magnus and lift forces

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Journal of physics, complexity presents scientific developments in physics-related theoretical, experimental, and applied research that contributes to our understanding of complex systems and networks. As an interdisciplinary journal, it welcomes submissions from: physics, biology, chemistry, environmental science, social sciences, economics, and related fields All research related to complex systems and networks is in scope, including interdisciplinary and multidisciplinary studies. Coverage includes: Artificial intelligence and machine learning, Biological and physical systems, City and regional planning, Climate change and sustainability, Cognitive, language, and informational networks, Computational assembly science and engineering, Economic and financial systems, Human behaviour, social-evolutionary dynamics, Online social networks and the Internet, Quantum networks

complex networks --- complex systems --- System theory --- Physics --- Statistical physics --- Research --- Research. --- Systems science --- Systems, Theory of --- Science --- Mathematical statistics --- Physical research --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Philosophy --- Statistical methods

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Symmetry is found everywhere, to a greater or lesser degree. It is essential in all sciences and also as the basic substrate in all arts. The same happens with Complex Networks, which are the majority of all those that interest for advanced knowledge, that is, for research. That is why these two themes have been unified here, whose intersection we are dealing with: in its first part, of fundamentals, and in its second part of applications, which are multiple in the world today.

fuzzy symmetry --- near symmetry --- graph theory --- fuzzy optimization --- measure theory --- complex networks --- combinatorial and computational group theory --- theoretical computer science --- complex systems --- symmetry measures --- similarity --- symmetry as a new and very important bridge between sciences and humanities --- discrete applied mathematics --- information theory --- stability --- fuzzy measure theory --- complexity theory --- symmetry and asymmetry --- chirality --- entropy measures --- mathematical analysis --- combinatorial optimization --- preferential attachment --- clustering

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The proceedings of the international conference “SMSEC2014”, a joint conference of the first “Social Modeling and Simulations” and the 10th “Econophysics Colloquium”, held in Kobe in November 2014 with 174 participants, are gathered herein. Cutting edge scientific researches on various social phenomena are reviewed. New methods for analysis of big data such as financial markets, automobile traffics, epidemic spreading, world-trades and social media communications are provided to clarify complex interaction and distributions underlying in these social phenomena. Robustness and fragility of social systems are discussed based on agent models and complex network models. Techniques about high performance computers are introduced for simulation of complicated social phenomena. Readers will feel the researchers minds that deep and quantitative understanding will make it possible to realize comprehensive simulations of our whole society in the near future, which will contribute to wide fields of industry also to scientific policy decision.    .

Physics. --- Socio- and Econophysics, Population and Evolutionary Models. --- Complexity. --- Simulation and Modeling. --- Complex Networks. --- Game Theory/Mathematical Methods. --- Computer simulation. --- Engineering. --- Economics, Mathematical. --- Physique --- Simulation par ordinateur --- Ingénierie --- Mathématiques économiques --- Physics - General --- Physics --- Physical Sciences & Mathematics --- Mathematical models --- Computer simulation --- Econophysics --- Models, Mathematical --- Sociophysics. --- Econophysics. --- Complexity, Computational. --- Economic theory. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Economic theory --- Political economy --- Social sciences --- Economic man --- Complexity, Computational --- Electronic data processing --- Machine theory --- Economics --- Statistical physics --- Mathematical sociology --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Simulation methods --- Model-integrated computing --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Statistical methods --- Data-driven Science, Modeling and Theory Building. --- Applications of Graph Theory and Complex Networks. --- Construction --- Industrial arts --- Technology --- Computational complexity. --- Springer Proceedings in Complexity

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In economics agents are assumed to choose on the basis of rational calculations aimed at the maximization of their pleasure or profit. Formally, agents are said to manifest transitive and consistent preferences in attempting to maximize their utility in the presence of several constraints. They operate according to the choice imperative: given a set of alternatives, choose the best. This imperative works well in a static and simplistic framework, but it may fail or vary when 'the best' is changing continuously. This approach has been questioned by a descriptive approach that springing from the complexity theory tries to give a scientific basis to the way in which individuals really choose, showing that those models of human nature is routinely falsified by experiments since people are neither selfish nor rational. Thus inductive rules of thumb are usually implemented in order to make decisions in the presence of incomplete and heterogeneous information sets; errors and biases are the natural counterpart of learning and adapting processes. The papers collected in this volume show that economic agents, individual or aggregate, do not conform to standard economic models, highlighting how a different framework – complexity theory - could help to explain and understand the choice and decision process of economic agent.

Decision making. --- Reasoning. --- Statistical decision. --- Economics --- Decision making --- Consumer behavior --- Finance, Personal --- Financial risk management --- Econophysics --- Risk --- Rational choice theory --- Mathematics --- Business & Economics --- Physical Sciences & Mathematics --- Algebra --- Economic Theory --- Philosophy --- Methodology --- Sociological aspects --- Psychological aspects --- Statistical methods --- Social aspects --- Economics. --- Economic theory --- Political economy --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Mathematics. --- Game theory. --- Physics. --- Game Theory, Economics, Social and Behav. Sciences. --- Complex Networks. --- Economic Systems. --- Social sciences --- Economic man --- Choice (Psychology) --- Problem solving --- Applications of Graph Theory and Complex Networks. --- Political Economy/Economic Systems. --- Math --- Science --- Economic policy. --- Economic nationalism --- Economic planning --- National planning --- State planning --- Planning --- National security --- Social policy --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Games, Theory of --- Theory of games --- Mathematical models