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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.).

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 12316. | Lecture notes in computer science. Lecture notes in artificial intelligence.Publisher: Cham : Springer, [2021]Description: 1 online resource (ix, 107 pages) : illustrations (chiefly color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030668884
  • 3030668886
Other title:
  • MABS 2020
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3/0285436 23
LOC classification:
  • QA76.76.I58
Online resources:
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.
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.
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International conference proceedings.

Includes author index.

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.

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.

Online resource; title from PDF title page (SpringerLink, viewed March 10, 2021).

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