Multi-Agent-Based Simulation XXI : 21st international workshop, MABS 2020, Auckland, New Zealand, May 10, 2020 : revised selected papers / Samarth Swarup, Bastin Tony Roy Savarimuthu (eds.).
2021
QA76.76.I58
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Title
Multi-Agent-Based Simulation XXI : 21st international workshop, MABS 2020, Auckland, New Zealand, May 10, 2020 : revised selected papers / Samarth Swarup, Bastin Tony Roy Savarimuthu (eds.).
Meeting Name
MABS (Workshop) (21st : 2020 : Online)
ISBN
9783030668884 (electronic bk.)
3030668886 (electronic bk.)
9783030668877
3030668886 (electronic bk.)
9783030668877
Published
Cham : Springer, [2021]
Language
English
Description
1 online resource (ix, 107 pages) : illustrations (chiefly color)
Item Number
10.1007/978-3-030-66888-4 doi
Call Number
QA76.76.I58
Dewey Decimal Classification
006.3/0285436
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.
Note
International conference proceedings.
Includes author index.
Includes author index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 10, 2021).
Series
Lecture notes in computer science ; 12316.
Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science. Lecture notes in artificial intelligence.
Available in Other Form
Print version: 9783030668877
Print version: 9783030668891
Print version: 9783030668891
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Table of 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.
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.