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  1. Proceedings of the Symposium on Agent-Directed Simulation (ADS '15)
  2. Synchronising agent populations when combining agent-based simulations
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Synchronising agent populations when combining agent-based simulations

Content Provider ACM Digital Library
Author Padgham, Lin Wickramasinghe, Bhagya N. Singh, Dhirendra
Abstract In this paper we systematically investigate the problem of integrating two agent-based simulations (ABMs) that conceptually model the same agent population. The set up progressively steps the two simulations via an external controller, and synchronises the agent populations at the end of each step in such a way that they remain equivalent. Synchronisation involves changes to state variables only inside each simulation, resulting in additions and deletions to the list of agents, to agent properties, and to their relationships to each other. The key challenge is to ensure that the both the underlying simulations as well as the global simulation are always in a logically consistent and meaningful state. We present a conceptual framework to discuss these issues and solutions, in the context of integrating two substantially complex ABMs from literature. Our integration approach guarantees that the validated logic of the participating simulations is preserved.
Starting Page 61
Ending Page 68
Page Count 8
File Format PDF
ISBN 9781510800984
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-04-12
Publisher Place San Diego
Access Restriction Subscribed
Subject Keyword Integration Agent-based modelling Coupling Synchronisation
Content Type Text
Resource Type Article
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