NDLI: 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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