Cart 0
Multi-Agent-Based Simulation XXI
Click to zoom

Share this book

Multi-Agent-Based Simulation XXI : 21st International Workshop, MABS 2020, Auckland, New Zealand, May 10, 2020, Revised Selected Papers

1st ed. 2021

Book Details

Format Paperback / Softback
ISBN-10 3030668878
ISBN-13 9783030668877
Edition 1st ed. 2021
Publisher Springer Nature Switzerland AG
Imprint Springer Nature Switzerland AG
Country of Manufacture GB
Country of Publication GB
Publication Date Jan 19th, 2021
Print length 107 Pages
Ksh 8,100.00
Werezi Extended Catalogue 0 in stock

Delivery Location

Delivery fee: Select location

Secure
Quality
Fast
This book constitutes the thoroughly refereed post-conference proceedings of the 20th International Workshop on Multi-Agent-Based Simulation, MABS 2020, held in Auckland, New Zealand, in May 2020 collocated with 19th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2020).

This book constitutes the thoroughly refereed post-conference proceedings of the 20th International Workshop on Multi-Agent-Based Simulation, MABS 2020, held in Auckland, New Zealand, in May 2020 collocated with 19th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2020). Due to COVID-19 the workshop has been held online.

The 9 revised full papers included in this volume were carefully selected from 11 submissions. The workshop focused on finding efficient solutions to model complex social systems, in such areas as economics, management, organizational and social sciences in general and much more.  



Get Multi-Agent-Based Simulation XXI by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer Nature Switzerland AG and it has pages.

Mind, Body, & Spirit

Shopping Cart

Africa largest book store

Sub Total:
Ebooks

Digital Library
Coming Soon

Our digital collection is currently being curated to ensure the best possible reading experience on Werezi. We'll be launching our Ebooks platform shortly.