Research Output
Using Semantic Technology to Model Persona for Adaptable Agents
  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

  • Date:

    31 December 2021

  • Publication Status:


  • DOI:


  • Funders:

    New Funder


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).



Adaptable Agents, Persona, Agent Modelling, Semantic Technologies

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