Using Semantic Technology to Model Persona for Adaptable Agents

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

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). Using Semantic Technology to Model Persona for Adaptable Agents. In ECMS 2021, 35th Proceedings (172-178). https://doi.org/10.7148/2021

• 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