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The MASON Simulation Toolkit: Past, Present, and Future

  • Sean Luke
  • , Robert Simon
  • , Andrew Crooks
  • , Haoliang Wang
  • , Ermo Wei
  • , David Freelan
  • , Carmine Spagnuolo
  • , Vittorio Scarano
  • , Gennaro Cordasco
  • , Claudio Cioffi-Revilla
  • George Mason University
  • University of Salerno
  • University of Campania Luigi Vanvitelli

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

24 Scopus citations

Abstract

MASON is a widely-used open-source agent-based simulation toolkit that has been in constant development since 2002. MASON’s architecture was cutting-edge for its time, but advances in computer technology now offer new opportunities for the ABM community to scale models and apply new modeling techniques. We are extending MASON to provide these opportunities in response to community feedback. In this paper we discuss MASON, its history and design, and how we plan to improve and extend it over the next several years. Based on user feedback will add distributed simulation, distributed GIS, optimization and sensitivity analysis tools, external language and development environment support, statistics facilities, collaborative archives, and educational tools.

Original languageEnglish
Title of host publicationMulti-Agent-Based Simulation XIX - 19th International Workshop, MABS 2018, Revised Selected Papers
EditorsPaul Davidsson, Harko Verhagen
PublisherSpringer Verlag
Pages75-86
Number of pages12
ISBN (Print)9783030222697
DOIs
StatePublished - 2019
Event19th International Workshop on Multi-Agent-Based Simulation, MABS 2019 - Stockholm, Sweden
Duration: Jul 14 2018Jul 14 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11463 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Workshop on Multi-Agent-Based Simulation, MABS 2019
Country/TerritorySweden
CityStockholm
Period07/14/1807/14/18

Keywords

  • Agent-based simulation
  • Library
  • Open source

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