£117.08

Springer - Self-organizing Coalitions for Managing Complexity

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Description

Explore the intersection of complex networks and game theory with this academic text from Springer. Part of the Emergence, Complexity and Computation series, this book provides an interdisciplinary look at managing complexity through agent-based simulation. way to understand how self-organization works in dynamic social networks. The first section of the book offers an extensive introduction to key areas including cellular automata, multi-agent systems, and evolutionary game theory. The second section moves into practical application by exploring various research scenarios. For students and researchers, the book includes CellNet, a software framework designed to provide a hands-on approach to the scenarios discussed. This combination of theoretical foundations and practical simulation tools makes it a valuable resource for undergraduate teaching and advanced research in complex systems.

Key Features

Interdisciplinary approach combining complex networks, cellular automata, and multi-agent systems to study complexity.

Comprehensive theoretical introduction covering the fundamentals of self-organization and evolutionary game theory.

Practical research scenarios that explore how coalitions manage complexity within dynamic social networks.

Includes the CellNet software framework to provide a hands-on method for simulating described research scenarios.

Designed as an educational resource suitable for undergraduate teaching in complexity and computation studies.

Product Specifications

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

Barcode

No barcode data available

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