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Springer Self-organizing Coalitions Managing Complexity - Agent Simulation

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Description

This interdisciplinary book from Springer combines complex networks, cellular automata, multi-agent systems, self-organization and game theory to address complexity management. The first part delivers an extensive introduction to these foundational areas, whilst the second part explores practical research scenarios applying these concepts. The book includes CellNet, a hands-on software framework that demonstrates the theoretical material through interactive simulations. Designed for undergraduate and graduate study, this volume integrates evolutionary game theory with dynamic social networks to show how agents self-organize into coalitions. Part of the Emergence, Complexity and Computation series (volume 29), it bridges theoretical foundations and practical implementation, making complex systems accessible through both narrative explanation and working software tools that readers can use to explore agent-based models themselves.

Key Features

Combines complex networks, cellular automata and multi-agent systems with self-organization principles for comprehensive complexity analysis.

Includes CellNet software framework providing hands-on simulation tools to explore the research scenarios presented throughout the book.

Two-part structure offers extensive introductory chapters followed by detailed research scenarios demonstrating practical applications.

Applies evolutionary game theory and dynamic social networks to model how agents form self-organizing coalitions.

Suitable for undergraduate and graduate-level study in complexity science and computational modelling.

Published by Springer as part of the Emergence, Complexity and Computation series volume 29.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
22 December 2017
Listed Since
21 September 2017

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