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Lecture Notes in Artificial Intelligence
cover

Multi-Agent-Based Simulation XXI

21st International Workshop, MABS 2020, Auckland, New Zealand, May 10, 2020, Revised Selected Papers

Editors: Swarup, Samarth, Savarimuthu, Bastin Tony Roy (Eds.)

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eBook 42,79 €
price for Spain (gross)
  • ISBN 978-3-030-66888-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 51,99 €
price for Spain (gross)
  • ISBN 978-3-030-66887-7
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.  


Table of contents (8 chapters)

Table of contents (8 chapters)
  • Adaptivity in Distributed Agent-Based Simulation: A Generic Load-Balancing Approach

    Pages 1-12

    Bosmans, Stig (et al.)

  • Trajectory Modelling in Shared Spaces: Expert-Based vs. Deep Learning Approach?

    Pages 13-27

    Cheng, Hao (et al.)

  • Towards Agent-Based Traffic Simulation Using Live Data from Sensors for Smart Cities

    Pages 28-40

    Qian, Yan (et al.)

  • Design and Evaluations of Multi-agent Simulation Model for Electric Power Sharing Among Households

    Pages 41-53

    Nishimura, Yasutaka (et al.)

  • Active Screening on Recurrent Diseases Contact Networks with Uncertainty: A Reinforcement Learning Approach

    Pages 54-65

    Ou, Han Ching (et al.)

Buy this book

eBook 42,79 €
price for Spain (gross)
  • ISBN 978-3-030-66888-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 51,99 €
price for Spain (gross)
  • ISBN 978-3-030-66887-7
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Multi-Agent-Based Simulation XXI
Book Subtitle
21st International Workshop, MABS 2020, Auckland, New Zealand, May 10, 2020, Revised Selected Papers
Editors
  • Samarth Swarup
  • Bastin Tony Roy Savarimuthu
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
12316
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-66888-4
DOI
10.1007/978-3-030-66888-4
Softcover ISBN
978-3-030-66887-7
Edition Number
1
Number of Pages
IX, 107
Number of Illustrations
3 b/w illustrations, 40 illustrations in colour
Topics