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Using Semantic Technology to Model Persona for Adaptable Agents

Nguyen, Johannes; Farrenkopf, Thomas; Guckert, Michael; Powers, Simon; Urquhart, Neil

Authors

Johannes Nguyen

Thomas Farrenkopf

Michael Guckert

Simon Powers



Abstract

In state of the art research a growing interest in the application of agent models for the simulation of road traffic can be observed. Software agents are particularly suitable for the representation of travellers and their goal-oriented behaviour. Although numerous applications based on these types of models are already available, the options for modelling and calibration of the agents as goal-oriented individuals are either simplified to aggregated parameters or associated with overly complex and opaque implementation details. This makes it difficult to reuse available simulation models.
In this paper, we demonstrate how the combination of persona models together with semantic methods can be applied to achieve a well-structured agent model that allows for improved reusability

Citation

Nguyen, J., Farrenkopf, T., Guckert, M., Powers, S., & Urquhart, N. (2021, June). Using Semantic Technology to Model Persona for Adaptable Agents. Presented at ECMS 2021

Presentation Conference Type Conference Paper (published)
Conference Name ECMS 2021
Start Date Jun 9, 2021
End Date Jun 11, 2021
Acceptance Date Mar 23, 2021
Publication Date 2021
Deposit Date Mar 23, 2021
Publicly Available Date Dec 3, 2021
Volume 35
Pages 172-178
Series Title Communications of the ECMS
Series ISSN 2522-2422
Book Title ECMS 2021, 35th Proceedings
ISBN 978-3-937436-72-2
DOI https://doi.org/10.7148/2021
Keywords Adaptable Agents, Persona, Agent Modelling, Semantic Technologies
Public URL http://researchrepository.napier.ac.uk/Output/2755086

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