How Do I Develop an Agent-Based Model?

Davide Secchi

ISBN 10: 1839105216 / ISBN 13: 9781839105210

Edité par Edward Elgar Publishing Ltd Apr 2022, 2022

A propos de cet article

Neuware.

N° de réf. du vendeur 9781839105210

Détails bibliographiques

• Titre: How Do I Develop an Agent-Based Model?
• Éditeur: Edward Elgar Publishing Ltd Apr 2022
• Date de parution: 2022
• Langue: anglais
• ISBN à 10 chiffres: 1839105216
• ISBN à 13 chiffres: 9781839105210
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 216 L x 138 H x 13 P (en millimètres) 216 millimètres de largeur par 138 millimètres de hauteur par 13 millimètres de profondeur
• Poids: 222 grammes

A propos de ce titre

Synopsis

This clear and coherent book introduces agent-based modelling (ABM) to those who are not familiar with nor have been previously exposed to computational simulation. Featuring examples, cases and models, the book illustrates how ABM can, and should, be considered as a useful approach and technique for the study of management and organisational systems.

Davide Secchi begins by explaining what ABM has to offer as opposed to other techniques, emphasising its suitability to the study of complex social systems. While dissecting the core components of the approach, he introduces key elements and mechanisms with a practice oriented approach rather than insisting solely on logic and theory. With an emphasis on applications and using examples from NetLogo ― one of the most widely used agent-based software platforms ― the book guides the reader through a step-by-step process on how to develop a computational simulation.

Featuring a hands-on applied approach that makes a difficult topic easy for non-modellers, How Do I Develop an Agent-Based Model? will be a key resource for business and management Masters-level students embarking on a dissertation project. It will also be a useful reference for PhD students in the field, as well as a starting point for academics who would like to begin using ABM in their research.

À propos de l?auteur

Davide Secchi, Associate Professor, Research Centre for Computational and Organisational Cognition, Department of Language and Communication, University of Southern Denmark