Features of Agent-based Models

Authors

Reiko Heckel, University of Leicester
Alexander Kurz, Chapman UniversityFollow
Edmund Chattoe-Brown, University of Leicester

Document Type

Conference Proceeding

Publication Date

2017

Abstract

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.

Comments

This paper was originally presented at the third workshop on Graphs as Models at the European Joint Conferences on Theory and Practice of Software (GaM@ETAPS) in 2017. DOI: 10.4204/EPTCS.263.3

Recommended Citation

R. Heckel, A. Kurz, and E. Chattoe-Brown, “Features of Agent-based Models,” Electronic Proceedings in Theoretical Computer Science, vol. 263, pp. 31–37, Dec. 2017.

Copyright

The authors

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.