Cognitive Agent-based Computing-I : A Unified Framework for Modeling Complex Adaptive Systems using Agent-based & Complex Network-based Methods

Amir Hussain, Muaz A Niazi

ISBN 10: 940073851X / ISBN 13: 9789400738515

Edité par Springer Netherlands, 2012

A propos de cet article

Zustand: Sehr gut | Seiten: 72 | Sprache: Englisch | Produktart: Sonstiges.

N° de réf. du vendeur 12364973/12

Détails bibliographiques

• Titre: Cognitive Agent-based Computing-I : A Unified Framework for Modeling Complex Adaptive Systems using Agent-based & Complex Network-based Methods
• Éditeur: Springer Netherlands
• Date de parution: 2012
• Langue: anglais
• ISBN à 10 chiffres: 940073851X
• ISBN à 13 chiffres: 9789400738515
• Reliure: Couverture souple
• État de l'article: Sehr gut
• Catalogues du vendeur:
  • Sonstiges

A propos de ce titre

Synopsis

The numerous non-linear interactions of sub-components in complex systems give rise to emergent behaviors identifiable at a global level. This book is an essential hands-on guide to building agent-based models with potential applications in a range of sectors.

Présentation de l'éditeur

Complex Systems are made up of numerous interacting sub-components. Non-linear interactions of these components or agents give rise to emergent behavior observable at the global scale. Agent-based modeling and simulation is a proven paradigm which has previously been used for effective computational modeling of complex systems in various domains. Because of its popular use across different scientific domains, research in agent-based modeling has primarily been vertical in nature. The goal of this manuscript is to provide a single hands-on guide to developing cognitive agent-based models for the exploration of emergence across various types of complex systems. We present practical ideas and examples for researchers and practitioners for the building of agent-based models using a horizontal approach - applications are demonstrated in a number of exciting domains as diverse as wireless sensors networks, peer-to-peer networks, complex social systems, research networks, epidemiological HIV?