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Features of Agent-based Models

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posted on 2018-01-17, 10:10 authored by Reiko Heckel, Alexander Kurz, Edmund Chattoe-Brown
The design of agent-based models (ABMs) is often ad-hoc when it comes to defining their scope. In order for the inclusion of features such as network structure, location, or dynamic change to be justified, their role in a model should be systematically analysed. We propose a mechanism to compare and assess the impact of such features. In particular we are using techniques from software engineering and semantics to support the development and assessment of ABMs, such as graph transformations as semantic representations for agent-based models, feature diagrams to identify ingredients under consideration, and extension relations between graph transformation systems to represent model fragments expressing features.

History

Citation

Electronic Proceedings in Theoretical Computer Science, 2017, Proceedings Third Workshop on Graphs as Models (GaM 2017), 263, pp. 31-37.

Author affiliation

/Organisation/COLLEGE OF SOCIAL SCIENCES, ARTS AND HUMANITIES/Department of Media, Communication and Sociology

Source

Third Workshop on Graphs as Models (GaM 2017), Uppsala, Sweden

Version

  • VoR (Version of Record)

Published in

Electronic Proceedings in Theoretical Computer Science

Publisher

Open Publishing Association

eissn

2075-2180

Copyright date

2017

Available date

2018-01-17

Publisher version

http://eptcs.web.cse.unsw.edu.au/paper.cgi?GaM2017.3

Notes

In Proceedings GaM 2017, arXiv:1712.08345

Temporal coverage: start date

2017-04-23

Temporal coverage: end date

2017-04-23

Language

en

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