Swarup / Savarimuthu Multi-Agent-Based Simulation XXI

21st International Workshop, MABS 2020, Auckland, New Zealand, May 10, 2020, Revised Selected Papers
1. Auflage 2021
ISBN: 978-3-030-66888-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 107 Seiten, eBook

Reihe: Lecture Notes in Artificial Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Swarup, Samarth

Savarimuthu, Bastin Tony Roy

Inhaltsverzeichnis

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.