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.
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.
Included in
Algebra Commons, Logic and Foundations Commons, Other Computer Engineering Commons, Other Computer Sciences Commons, Other Mathematics Commons
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