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Multi-Agent-Based Simulation XX

20th International Workshop, MABS 2019, Montreal, QC, Canada, May 13, 2019, Revised Selected Papers

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Mario Paolucci

    1. ISTC/CNR, Rome, Italy

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  2. Jaime Simão Sichman

    1. Laboratório de Técnicas Inteligentes, Universidade de São Paulo, São Paulo, Brazil

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    You can also search for this editor in PubMed   Google Scholar

  3. Harko Verhagen

    1. Institutionen för data- och systemvetenskap, Stockholm University, Kista, Sweden

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12025)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: MABS 2019.

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Table of contents (9 papers)

  1. Front Matter

    Pages i-xi
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  2. Constructing an Agent Taxonomy from a Simulation Through Topological Data Analysis

    • Samarth Swarup, Reza Rezazadegan
    Pages 1-13

  3. Modeling Pedestrian Behavior Under Panic During a Fire Emergency

    • Juhi Singh, Atharva Deshpande, Shrisha Rao
    Pages 14-25

  4. Reinforcement Learning of Supply Chain Control Policy Using Closed Loop Multi-agent Simulation

    • Souvik Barat, Prashant Kumar, Monika Gajrani, Harshad Khadilkar, Hardik Meisheri, Vinita Baniwal et al.
    Pages 26-38

  5. On Developing a More Comprehensive Decision-Making Architecture for Empirical Social Research: Agent-Based Simulation of Mobility Demands in Switzerland

    • Khoa Nguyen, René Schumann
    Pages 39-54

  6. Modelling Policy Shift Advocacy

    • Antoni Perello-Moragues, Pablo Noriega, Lucia Alexandra Popartan, Manel Poch
    Pages 55-68

  7. A Collective Action Simulation Platform

    • Stephen Cranefield, Hannah Clark-Younger, Geoff Hay
    Pages 69-80

  8. An Opinion Diffusion Model with Vigilant Agents and Deliberation

    • George Butler, Gabriella Pigozzi, Juliette Rouchier
    Pages 81-99

  9. Agent Based Simulation of the Dengue Virus Propagation

    • Letícia da Silva Rodrigues, Sóstenes Gutembergue Mamedio Oliveira, Luiz Fernandez Lopez, Jaime Simão Sichman
    Pages 100-111

  10. Agents with Dynamic Social Norms

    • Samaneh Heidari, Nanda Wijermans, Frank Dignum
    Pages 112-124

  11. Back Matter

    Pages 125-125
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  1. Multi-Agent-Based Simulation XX

Keywords

About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 20th International Workshop on Multi-Agent-Based Simulation, MABS 2019, held in Montreal, QC, Canada, in May 2019 as part of the AAMAS 2019, the 18th International Conference on Autonomous Agents and Multiagent Systems.

The 9 revised full papers included in this volume were carefully selected from 15 submissions. They focus on finding efficient solutions to model complex social systems in such areas as economics, management, and organisational and social sciences. In all these areas, agent theories, metaphors, models, analysis, experimental designs, empirical studies, and methodological principles, converge into simulation as a way of achieving explanations and predictions, exploration and testing of hypotheses, better designs and systems.

Editors and Affiliations

  • ISTC/CNR, Rome, Italy

    Mario Paolucci

  • Laboratório de Técnicas Inteligentes, Universidade de São Paulo, São Paulo, Brazil

    Jaime Simão Sichman

  • Institutionen för data- och systemvetenskap, Stockholm University, Kista, Sweden

    Harko Verhagen

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