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Digital
Library of the European Council for Modelling and Simulation |
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Title: |
Using Semantic Technology To Model Persona For Adaptable Agents |
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Authors: |
Johannes Nguyen, Thomas Farrenkopf,
Michael Guckert, Simon T. Powers, Neil Urquhart |
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Published in:
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(2021). ECMS 2021,
35th Proceedings DOI: http://doi.org/10.7148/2021 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) ISBN: 978-3-937436-72-2 Communications of the ECMS , Volume 35, Issue 1, June 2021, United Kingdom |
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Citation
format: |
Johannes Nguyen, Thomas Farrenkopf, Michael Guckert,
Simon T. Powers, Neil Urquhart (2021). Using Semantic Technology To Model
Persona For Adaptable Agents, ECMS 2021
Proceedings Edited By: Khalid Al-Begain, Mauro Iacono, Lelio Campanile, Andrzej Bargiela European Council
for Modeling and Simulation. doi:
10.7148/2021-0172 |
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DOI: |
https://doi.org/10.7148/2021-0172 |
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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. |
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Full
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