AGENTS, NETWORKS, EVOLUTION

Scientific progress during the last three decades has greatly profited from our advances in understanding complex systems. Fundamental modeling approaches were considerably improved, particularly agent-based modeling, network science, nonlinear dynamics, and system science. At the same time, these approaches have been applied to and adopted by various scientific disciplines, ranging from physics and chemistry to engineering, molecular biology, economics, and the social sciences.

This book reflects the success of complexity science both from a historical and a modeling perspective. It uses 25 articles from different disciplines, published over 25 years, to demonstrate the power and problems of modeling complex systems.

The book's four parts, Agent-based Models, Network Models, Models of System Dynamics, and Models of Evolution, each provide an informative synopsis of the respective modeling approach. An introductory overview summarizes each approach's essential concepts, addresses the main research directions, and reviews applications in various disciplines. The selection of reprinted publications is motivated by their scientific relevance and methodological contributions to understanding complex phenomena. A chronological list of publications details the development of each modeling approach over the past 25 years.Contents:

• Front Matter:
  • Preface
  • Introduction (Frank Schweitzer)
• Agent-Based Models:
  • Overview (Frank Schweitzer)
  • Economics and Complexity (Alan Kirman)
  • Cooperation in an Adaptive Network (Martin G Zimmermann, Victor M Eguíluz, Maxi San Miguel and Amedeo Spadaro)
  • How Individuals Learn to Take Turns: Emergence of Alternating Cooperation in a Congestion Game and the Prisoner's Dilemma (Dirk Helbing, Martin Schönhof, Hans-Ulrich Stark and Janusz A Hołyst)
  • Emergent Dense Suburbs in a Schelling Metapopulation Model: A Simulation Approach (Floriana Gargiulo, Yerali Gandica and Timoteo Carletti)
  • Talent Versus Luck: The Role of Randomness in Success and Failure (Alessandro Pluchino, Alessio Emanuele Biondo and Andrea Rapisarda:)
  • The Role of Network Embeddedness on the Selection of Collaboration Partners: An Agent-Based Model with Empirical Validation (Frank Schweitzer, Antonios Garas, Mario V Tomasello, Giacomo Vaccario and Luca Verginer)
• Network Models:
  • Overview (Frank Schweitzer)
  • The Role of Geography and Traffic in the Structure of Complex Networks (Marc Barthélemy, Alain Barrat and Alessandro Vespignani)
  • Centrality and Peripherality in Filtered Graphs from Dynamical Financial Correlations (Franceso Pozzi, Tiziana Di Matteo and Tomaso Aste)
  • Quantifying Social and Opportunistic Behavior in Email Networks (Luiz H Gomes, Virgilio A F Almeida, Jussara M Almeida, Fernando D O Castro and Luís M A Bettencourt)
  • Network Automata: Coupling Structure and Function in Dynamic Networks (David M D Smith, Jukka-Pekka Onnela, Chiu Fan Lee, Mark D Fricker and Neil F Johnson)
  • Temporal Network Analysis of Literary Texts (Sandra D Prado, Silvio R Dahmen, Ana L C Bazzan, Padraig Mac Carron and Ralph Kenna)
  • Detecting Opinion-Based Groups and Polarization in Survey-Based Attitude Networks and Estimating Question Relevance (Alejandro Dinkelberg, David Jp O'Sullivan, Michael Quayle and Pádraig Maccarron)
• System Dynamics Models:
  • Overview (Frank Schweitzer)
  • The Dynamics of Specialization and Generalization within Biological Populations (Andrew J Spencer, Iain D Couzin and Nigel R Franks)
  • Inference Versus Imprint in Climate Modeling (A J Palmer, T L Schneider and L A Benjamin)
  • Quantifying Emergence in Terms of Persistent Mutual Information (Robin C Ball, Marina Diakonova and Robert S Mackay)
  • Modeling the Coevolution of Road Expansion and Urban Traffic Growth (Jianjun Wu, Mingtao Xu and Ziyou Gao)
  • Long Range Dependence and the Dynamics of Exploited Fish Populations (Hugo C Mendes, Alberto Murta and R Vilela Mendes)
  • An Eco-Systems Approach to Constructing Economic Complexity Measures: Endogenization of the Technological Dimension Using Lotka–Volterra Equations (Inga Ivanova, Øivind Strand and Loet Leydesdorff)
  • On the Simple Amplitude Dynamics Underlying Covid-19 Outbreaks in China (Till D Frank)
• Models of Evolution:
  • Overview (Frank Schweitzer)
  • Coevolutionary Learning and the Design of Complex Systems (Hugues Juillé and Jordan B Pollack)
  • Dynamics of Economic and Technological Search Processes in Complex Adaptive Landscapes (Werner Ebeling, Karmeshu and Andrea Scharnhorst)
  • Molecular Replicator Dynamics (Bärbel M R Stadler and Peter F Stadler)
  • Cooperation, Collectives Formation and Specialization (Christoph Hauert)
  • A Model of Macroevolution as a Branching Process Based on Innovations (Stephanie Keller-Schmidt and Konstantin Klemm)
  • Self-Organizing Particle Systems (Malte Harder and Daniel Polani)

Readership: Academics, universities, and everyone interested in a comprehensive overview of complex systems research.

Key Features:

• A comprehensive overview of recent developments in complex systems research
• Four different modeling approaches are covered in one book (hardly found elsewhere)
• A general description of each model part makes the book accessible for non-experts
• Applications in different scientific areas are summarized (hardly found elsewhere)