Evolutionary Games In Complex Topologies

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Evolutionary Games in Complex Topologies

Julia Poncela Casasnovas
Evolutionary Games in Complex Topologies Book PDF

Author : Julia Poncela Casasnovas
Publisher : Springer Science & Business Media
Page : 161 pages
File Size : 49,8 Mb
Release : 2012-05-17
Category : Science
ISBN : 9783642301179

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Evolutionary Games in Complex Topologies by Julia Poncela Casasnovas Pdf

There are many examples of cooperation in Nature: cells cooperate to form tissues, organs cooperate to form living organisms, and individuals cooperate to raise their offspring or to hunt. However, why cooperation emerges and survives in hostile environments, when defecting would be a much more profitable short-term strategy, is a question that still remains open. During the past few years, several explanations have been proposed, including kin and group selection, punishment and reputation mechanisms, or network reciprocity. This last one will be the center of the present study. The thesis explores the interface between the underlying structure of a given population and the outcome of the cooperative dynamics taking place on top of it, (namely, the Prisoner's Dilemma Game). The first part of this work analyzes the case of a static system, where the pattern of connections is fixed, so it does not evolve over time. The second part develops two models for growing topologies, where the growth and the dynamics are entangled.

Statistical Physics and Computational Methods for Evolutionary Game Theory

Marco Alberto Javarone
Statistical Physics and Computational Methods for Evolutionary Game Theory Book PDF

Author : Marco Alberto Javarone
Publisher : Springer
Page : 74 pages
File Size : 50,7 Mb
Release : 2018-01-11
Category : Science
ISBN : 9783319702056

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Statistical Physics and Computational Methods for Evolutionary Game Theory by Marco Alberto Javarone Pdf

This book presents an introduction to Evolutionary Game Theory (EGT) which is an emerging field in the area of complex systems attracting the attention of researchers from disparate scientific communities. EGT allows one to represent and study several complex phenomena, such as the emergence of cooperation in social systems, the role of conformity in shaping the equilibrium of a population, and the dynamics in biological and ecological systems.Since EGT models belong to the area of complex systems, statistical physics constitutes a fundamental ingredient for investigating their behavior. At the same time, the complexity of some EGT models, such as those realized by means of agent-based methods, often require the implementation of numerical simulations. Therefore, beyond providing an introduction to EGT, this book gives a brief overview of the main statistical physics tools (such as phase transitions and the Ising model) and computational strategies for simulating evolutionary games (such as Monte Carlo algorithms on lattices). This book will appeal to students and researchers in this burgeoning field of complex systems.

Fundamentals of Evolutionary Game Theory and its Applications

Jun Tanimoto
Fundamentals of Evolutionary Game Theory and its Applications Book PDF

Author : Jun Tanimoto
Publisher : Springer
Page : 214 pages
File Size : 43,6 Mb
Release : 2015-10-23
Category : Business & Economics
ISBN : 9784431549628

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Fundamentals of Evolutionary Game Theory and its Applications by Jun Tanimoto Pdf

​This book both summarizes the basic theory of evolutionary games and explains their developing applications, giving special attention to the 2-player, 2-strategy game. This game, usually termed a "2×2 game” in the jargon, has been deemed most important because it makes it possible to posit an archetype framework that can be extended to various applications for engineering, the social sciences, and even pure science fields spanning theoretical biology, physics, economics, politics, and information science. The 2×2 game is in fact one of the hottest issues in the field of statistical physics. The book first shows how the fundamental theory of the 2×2 game, based on so-called replicator dynamics, highlights its potential relation with nonlinear dynamical systems. This analytical approach implies that there is a gap between theoretical and reality-based prognoses observed in social systems of humans as well as in those of animal species. The book explains that this perceived gap is the result of an underlying reciprocity mechanism called social viscosity. As a second major point, the book puts a sharp focus on network reciprocity, one of the five fundamental mechanisms for adding social viscosity to a system and one that has been a great concern for study by statistical physicists in the past decade. The book explains how network reciprocity works for emerging cooperation, and readers can clearly understand the existence of substantial mechanics when the term "network reciprocity" is used. In the latter part of the book, readers will find several interesting examples in which evolutionary game theory is applied. One such example is traffic flow analysis. Traffic flow is one of the subjects that fluid dynamics can deal with, although flowing objects do not comprise a pure fluid but, rather, are a set of many particles. Applying the framework of evolutionary games to realistic traffic flows, the book reveals that social dilemma structures lie behind traffic flow.

Self-organizing Coalitions for Managing Complexity

Juan C. Burguillo
Self organizing Coalitions for Managing Complexity Book PDF

Author : Juan C. Burguillo
Publisher : Springer
Page : 343 pages
File Size : 45,7 Mb
Release : 2017-12-13
Category : Technology & Engineering
ISBN : 9783319698984

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Self-organizing Coalitions for Managing Complexity by Juan C. Burguillo Pdf

This book provides an interdisciplinary approach to complexity, combining ideas from areas like complex networks, cellular automata, multi-agent systems, self-organization and game theory. The first part of the book provides an extensive introduction to these areas, while the second explores a range of research scenarios. Lastly, the book presents CellNet, a software framework that offers a hands-on approach to the scenarios described throughout the book. In light of the introductory chapters, the research chapters, and the CellNet simulating framework, this book can be used to teach undergraduate and master’s students in disciplines like artificial intelligence, computer science, applied mathematics, economics and engineering. Moreover, the book will be particularly interesting for Ph.D. and postdoctoral researchers seeking a general perspective on how to design and create their own models.

Evolutionary Games in Natural, Social, and Virtual Worlds

Daniel Friedman,Barry Sinervo
Evolutionary Games in Natural Social and Virtual Worlds Book PDF

Author : Daniel Friedman,Barry Sinervo
Publisher : Oxford University Press
Page : 320 pages
File Size : 47,7 Mb
Release : 2016-02-01
Category : Business & Economics
ISBN : 9780199981168

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Evolutionary Games in Natural, Social, and Virtual Worlds by Daniel Friedman,Barry Sinervo Pdf

Over the last 25 years, evolutionary game theory has grown with theoretical contributions from the disciplines of mathematics, economics, computer science and biology. It is now ripe for applications. In this book, Daniel Friedman---an economist trained in mathematics---and Barry Sinervo---a biologist trained in mathematics---offer the first unified account of evolutionary game theory aimed at applied researchers. They show how to use a single set of tools to build useful models for three different worlds: the natural world studied by biologists; the social world studied by anthropologists, economists, political scientists and others; and the virtual world built by computer scientists and engineers. The first six chapters offer an accessible introduction to core concepts of evolutionary game theory. These include fitness, replicator dynamics, sexual dynamics, memes and genes, single and multiple population games, Nash equilibrium and evolutionarily stable states, noisy best response and other adaptive processes, the Price equation, and cellular automata. The material connects evolutionary game theory with classic population genetic models, and also with classical game theory. Notably, these chapters also show how to estimate payoff and choice parameters from the data. The last eight chapters present exemplary game theory applications. These include a new coevolutionary predator-prey learning model extending rock-paper-scissors; models that use human subject laboratory data to estimate learning dynamics; new approaches to plastic strategies and life cycle strategies, including estimates for male elephant seals; a comparison of machine learning techniques for preserving diversity to those seen in the natural world; analyses of congestion in traffic networks (either internet or highways) and the "price of anarchy"; environmental and trade policy analysis based on evolutionary games; the evolution of cooperation; and speciation. As an aid for instruction, a web site provides downloadable computational tools written in the R programming language, Matlab, Mathematica and Excel.

Applications of Evolutionary Computing

Mario Giacobini,Anthony Brabazon,Stefano Cagnoni,Aniko Ekart,Anna I. Esparcia-Alcázar,Andreas Fink,Muddassar Farooq,Penousal Machado,Jon McCormack,Michael O'Neill,Ferrante Neri,Franz Rothlauf,Mike Preuss,Ernesto Tarantino,Shengxiang Yang
Applications of Evolutionary Computing Book PDF

Author : Mario Giacobini,Anthony Brabazon,Stefano Cagnoni,Aniko Ekart,Anna I. Esparcia-Alcázar,Andreas Fink,Muddassar Farooq,Penousal Machado,Jon McCormack,Michael O'Neill,Ferrante Neri,Franz Rothlauf,Mike Preuss,Ernesto Tarantino,Shengxiang Yang
Publisher : Springer Science & Business Media
Page : 857 pages
File Size : 53,8 Mb
Release : 2009-04-02
Category : Computers
ISBN : 9783642011283

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Applications of Evolutionary Computing by Mario Giacobini,Anthony Brabazon,Stefano Cagnoni,Aniko Ekart,Anna I. Esparcia-Alcázar,Andreas Fink,Muddassar Farooq,Penousal Machado,Jon McCormack,Michael O'Neill,Ferrante Neri,Franz Rothlauf,Mike Preuss,Ernesto Tarantino,Shengxiang Yang Pdf

This book constitutes the refereed joint proceedings of eleven European workshops on the Theory and Applications of Evolutionary Computation, EvoWorkshops 2009, held in Tübingen, Germany, in April 2009 within the scope of the EvoStar 2009 event. The 68 revised full papers and 23 revised short papers presented were carefully reviewed and selected from a total of 143 submissions. With respect to the eleven workshops covered, the papers are organized in topical sections on telecommunication networks and other parallel and distributed systems, environmental issues, finance and economics, games, design automation, image analysis and signal processing, interactive evolution and humanized computational intelligence, music, sound, art and design, continuous parameter optimisation, stochastic and dynamic environments, as well as transportation and logistics.

Chaotic Signal Processing

Henry Leung
Chaotic Signal Processing Book PDF

Author : Henry Leung
Publisher : SIAM
Page : 189 pages
File Size : 53,7 Mb
Release : 2013-12-05
Category : Science
ISBN : 9781611973259

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Chaotic Signal Processing by Henry Leung Pdf

An authoritative guide to up-to-date research results on chaotic signal processing aimed at researchers and graduate students in chaos, applied nonlinear dynamics, signal processing and radar communications. This book examines the applications of chaotic signal processing to radar, communications, system identification and computing.

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Mario Giacobini,Leonardo Vanneschi,William S. Bush
Evolutionary Computation Machine Learning and Data Mining in Bioinformatics Book PDF

Author : Mario Giacobini,Leonardo Vanneschi,William S. Bush
Publisher : Springer Science & Business Media
Page : 266 pages
File Size : 54,6 Mb
Release : 2012-03-28
Category : Computers
ISBN : 9783642290657

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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics by Mario Giacobini,Leonardo Vanneschi,William S. Bush Pdf

This book constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, held in Málaga, Spain, in April 2012 co-located with the Evo* 2012 events. The 15 revised full papers presented together with 8 poster papers were carefully reviewed and selected from numerous submissions. Computational Biology is a wide and varied discipline, incorporating aspects of statistical analysis, data structure and algorithm design, machine learning, and mathematical modeling toward the processing and improved understanding of biological data. Experimentalists now routinely generate new information on such a massive scale that the techniques of computer science are needed to establish any meaningful result. As a consequence, biologists now face the challenges of algorithmic complexity and tractability, and combinatorial explosion when conducting even basic analyses.

Genetic and Evolutionary Computation — GECCO 2004

Kalyanmoy Deb,Riccardo Poli,Wolfgang Banzhaf,Hans-Georg Beyer,Edmund Burke,Paul Darwen,Dipankar Dasgupta,Dario Floreano,James A. Foster,Mark Harman,Owen Holland,Pier Luca Lanzi,Lee Spector,Andrea Tettamanzi,Dirk Thierens,Andy Tyrrell
Genetic and Evolutionary Computation GECCO 2004 Book PDF

Author : Kalyanmoy Deb,Riccardo Poli,Wolfgang Banzhaf,Hans-Georg Beyer,Edmund Burke,Paul Darwen,Dipankar Dasgupta,Dario Floreano,James A. Foster,Mark Harman,Owen Holland,Pier Luca Lanzi,Lee Spector,Andrea Tettamanzi,Dirk Thierens,Andy Tyrrell
Publisher : Springer
Page : 1485 pages
File Size : 48,8 Mb
Release : 2004-06-01
Category : Computers
ISBN : 9783540248552

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Genetic and Evolutionary Computation — GECCO 2004 by Kalyanmoy Deb,Riccardo Poli,Wolfgang Banzhaf,Hans-Georg Beyer,Edmund Burke,Paul Darwen,Dipankar Dasgupta,Dario Floreano,James A. Foster,Mark Harman,Owen Holland,Pier Luca Lanzi,Lee Spector,Andrea Tettamanzi,Dirk Thierens,Andy Tyrrell Pdf

The two volume set LNCS 3102/3103 constitutes the refereed proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2004, held in Seattle, WA, USA, in June 2004. The 230 revised full papers and 104 poster papers presented were carefully reviewed and selected from 460 submissions. The papers are organized in topical sections on artificial life, adaptive behavior, agents, and ant colony optimization; artificial immune systems, biological applications; coevolution; evolutionary robotics; evolution strategies and evolutionary programming; evolvable hardware; genetic algorithms; genetic programming; learning classifier systems; real world applications; and search-based software engineering.

Emergent Results of Artificial Economics

Sjoukje Osinga,Gert Jan Hofstede,Tim Verwaart
Emergent Results of Artificial Economics Book PDF

Author : Sjoukje Osinga,Gert Jan Hofstede,Tim Verwaart
Publisher : Springer Science & Business Media
Page : 226 pages
File Size : 54,5 Mb
Release : 2011-06-22
Category : Business & Economics
ISBN : 9783642211089

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Emergent Results of Artificial Economics by Sjoukje Osinga,Gert Jan Hofstede,Tim Verwaart Pdf

Artificial economics is a computational approach that aims to explain economic systems by modeling them as societies of intelligent software agents. The individual agents make autonomous decisions, but their actual behaviors are constrained by available resources, other individuals' behaviors, and institutions. Intelligent software agents have communicative skills that enable simulation of negotiation, trade, reputation, and other forms of knowledge transfer that are at the basis of economic life. Incorporated learning mechanisms may adapt the agents' behaviors. In artificial economics, all system behavior is generated from the individual agents' simulated decisions; no system level laws are a priori imposed. For instance, price convergence and market clearing may emerge, but not necessarily. Thus, artificial economics facilitates the study of the mechanisms that make the economy function. This book presents a selection of peer-reviewed papers addressing recent developments in this field between economics and computer science.

Handbook on Biological Networks

Stefano Boccaletti,Vito Latora,Yamir Moreno
Handbook on Biological Networks Book PDF

Author : Stefano Boccaletti,Vito Latora,Yamir Moreno
Publisher : World Scientific
Page : 465 pages
File Size : 52,9 Mb
Release : 2010
Category : Science
ISBN : 9789812838797

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Handbook on Biological Networks by Stefano Boccaletti,Vito Latora,Yamir Moreno Pdf

Networked systems are all around us. The accumulated evidence of systems as complex as a cell cannot be fully understood by studying only their isolated constituents, giving rise to a new area of interest in research ? the study of complex networks. In a broad sense, biological networks have been one of the most studied networks, and the field has benefited from many important contributions. By understanding and modeling the structure of a biological network, a better perception of its dynamical and functional behavior is to be expected. This unique book compiles the most relevant results and novel insights provided by network theory in the biological sciences, ranging from the structure and dynamics of the brain to cellular and protein networks and to population-level biology.

Bio-Inspired Models of Network, Information, and Computing Systems

Junichi Suzuki,Tadashi Nakano
Bio Inspired Models of Network Information and Computing Systems Book PDF

Author : Junichi Suzuki,Tadashi Nakano
Publisher : Springer
Page : 712 pages
File Size : 55,8 Mb
Release : 2012-07-25
Category : Computers
ISBN : 9783642326158

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Bio-Inspired Models of Network, Information, and Computing Systems by Junichi Suzuki,Tadashi Nakano Pdf

This book constitutes the thoroughly refereed post-conference proceedings of the 5th International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems (BIONETICS 2010) which was held in Boston, USA, in December 2010. The 78 revised full papers were carefully reviewed and selected from numerous submissions for inclusion in the proceedings. BIONETICS 2010 aimed to provide the understanding of the fundamental principles and design strategies in biological systems and leverage those understandings to build bio-inspired systems.

The Topology of the 2x2 Games

David Robinson,David Goforth
The Topology of the 2x2 Games Book PDF

Author : David Robinson,David Goforth
Publisher : Psychology Press
Page : 218 pages
File Size : 50,7 Mb
Release : 2005
Category : Business & Economics
ISBN : 0415336090

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The Topology of the 2x2 Games by David Robinson,David Goforth Pdf

2x2 games provide the very basis of game theory and this book constitutes something approaching a 'periodic table' of the most common games - the prisoner's dilemma, coordination games, chicken and the battle of the sexes among them.

New Challenges for Cancer Systems Biomedicine

Alberto D'Onofrio,Paola Cerrai,Alberto Gandolfi
New Challenges for Cancer Systems Biomedicine Book PDF

Author : Alberto D'Onofrio,Paola Cerrai,Alberto Gandolfi
Publisher : Springer Science & Business Media
Page : 398 pages
File Size : 55,7 Mb
Release : 2013-01-25
Category : Mathematics
ISBN : 9788847025714

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New Challenges for Cancer Systems Biomedicine by Alberto D'Onofrio,Paola Cerrai,Alberto Gandolfi Pdf

The future of oncology seems to lie in Molecular Medicine (MM). MM is a new science based on three pillars. Two of them are evident in its very name and are well known: medical science and molecular biology. However, there is a general unawareness that MM is firmly based on a third, and equally important, pillar: Systems Biomedicine. Currently, this term denotes multilevel, hierarchical models integrating key factors at the molecular, cellular, tissue, through phenotype levels, analyzed to reveal the global behavior of the biological process under consideration. It becomes increasingly evident that the tools to construct such complex models include, not only bioinformatics and modern applied statistics, as is unanimously agreed, but also other interdisciplinary fields of science, notably, Mathematical Oncology, Systems Biology and Theoretical Biophysics.

Economic Foundations for Social Complexity Science

Yuji Aruka,Alan Kirman
Economic Foundations for Social Complexity Science Book PDF

Author : Yuji Aruka,Alan Kirman
Publisher : Springer
Page : 277 pages
File Size : 47,8 Mb
Release : 2017-09-25
Category : Business & Economics
ISBN : 9789811057052

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Economic Foundations for Social Complexity Science by Yuji Aruka,Alan Kirman Pdf

This book focuses on how important massive information is and how sensitive outcomes are to information. In this century humans now are coming up against the massive utilization of information in various contexts. The advent of super intelligence is drastically accelerating the evolution of the socio-economic system. Our traditional analytic approach must therefore be radically reformed in order to adapt to an information-sensitive framework, which means giving up myopic purification and the elimination of all considerations of massive information. In this book, authors who have shared and exchanged their ideas over the last 20 years, offer thorough examinations of the theoretical–ontological basis of complex economic interaction, econophysics, and agent-based modeling during the last several decades. This book thus provides the indispensable philosophical-scientific foundations for this new approach, and then moves on to empirical–epistemological studies concerning changes in sentiments and other movements in financial markets.