Multi-Agent-Based Simulation XXI: 21st International Workshop, Mabs 2020, Auckland, New Zealand, May 10, 2020, Revised Selected Papers

ISBN-13: 9783030668877 / Angielski / Miękka / 2021 / 107 str.

Samarth Swarup; Bastin Tony Roy Savarimuthu

Opis

Widoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej. Nie gwarantujemy zgodności okładki z prezentowanym zdjęciem.

Spis treści

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.