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Multi-Agent-Based Simulation XXI : 21st International Workshop, MABS 2020, Auckland, New Zealand, May 10, 2020, Revised Selected Papers / edited by Samarth Swarup, Bastin Tony Roy Savarimuthu.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Swarup, Samarth., Editor.
Savarimuthu, Bastin Tony Roy, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence ; 12316
Lecture Notes in Artificial Intelligence ; 12316
Language:
English
Subjects (All):
Artificial intelligence.
Coding theory.
Information theory.
Social sciences-Data processing.
Software engineering.
Application software.
Computer engineering.
Computer networks.
Artificial Intelligence.
Coding and Information Theory.
Computer Application in Social and Behavioral Sciences.
Software Engineering.
Computer and Information Systems Applications.
Computer Engineering and Networks.
Local Subjects:
Artificial Intelligence.
Coding and Information Theory.
Computer Application in Social and Behavioral Sciences.
Software Engineering.
Computer and Information Systems Applications.
Computer Engineering and Networks.
Physical Description:
1 online resource (IX, 107 pages) : 43 illustrations, 40 illustrations in color.
Edition:
1st ed. 2021.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2021.
System Details:
text file PDF
Summary:
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. .
Contents:
Adaptivity in distributed agent-based simulation: A generic load-balancing approach
Trajectory Modelling in Shared Spaces: Expert-Based vs. Deep Learning Approach?
Towards Agent-Based Traffic Simulation Using Live Data from Sensors for Smart Cities
Design and Evaluations of Multi-Agent Simulation Model for Electric Power Sharing among Households
Active Screening on Recurrent Diseases Contact Networks with Uncertainty: a Reinforcement Learning Approach
Impact of meta-roles on the evolution of organizational institutions
Optimization of Large-scale Agent-based Simulations through Automated Abstraction and Simplification
Improved Travel Demand Modeling with Synthetic Populations.
Other Format:
Printed edition:
ISBN:
978-3-030-66888-4
9783030668884
Access Restriction:
Restricted for use by site license.

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