Cargando…
Agent EXPRI: Licence to Explain
Online social networks are known to lack adequate multi-user privacy support. In this paper we present EXPRI, an agent architecture that aims to assist users in managing multi-user privacy conflicts. By considering the personal utility of sharing content and the individually preferred moral values o...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338150/ http://dx.doi.org/10.1007/978-3-030-51924-7_2 |
_version_ | 1783554619337605120 |
---|---|
author | Mosca, Francesca Sarkadi, Ştefan Such, Jose M. McBurney, Peter |
author_facet | Mosca, Francesca Sarkadi, Ştefan Such, Jose M. McBurney, Peter |
author_sort | Mosca, Francesca |
collection | PubMed |
description | Online social networks are known to lack adequate multi-user privacy support. In this paper we present EXPRI, an agent architecture that aims to assist users in managing multi-user privacy conflicts. By considering the personal utility of sharing content and the individually preferred moral values of each user involved in the conflict, EXPRI identifies the best collaborative solution by applying practical reasoning techniques. Such techniques provide the agent with the cognitive process that is necessary for explainability. Furthermore, the knowledge gathered during the practical reasoning process allows EXPRI to engage in contrastive explanations. |
format | Online Article Text |
id | pubmed-7338150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73381502020-07-07 Agent EXPRI: Licence to Explain Mosca, Francesca Sarkadi, Ştefan Such, Jose M. McBurney, Peter Explainable, Transparent Autonomous Agents and Multi-Agent Systems Article Online social networks are known to lack adequate multi-user privacy support. In this paper we present EXPRI, an agent architecture that aims to assist users in managing multi-user privacy conflicts. By considering the personal utility of sharing content and the individually preferred moral values of each user involved in the conflict, EXPRI identifies the best collaborative solution by applying practical reasoning techniques. Such techniques provide the agent with the cognitive process that is necessary for explainability. Furthermore, the knowledge gathered during the practical reasoning process allows EXPRI to engage in contrastive explanations. 2020-06-04 /pmc/articles/PMC7338150/ http://dx.doi.org/10.1007/978-3-030-51924-7_2 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Mosca, Francesca Sarkadi, Ştefan Such, Jose M. McBurney, Peter Agent EXPRI: Licence to Explain |
title | Agent EXPRI: Licence to Explain |
title_full | Agent EXPRI: Licence to Explain |
title_fullStr | Agent EXPRI: Licence to Explain |
title_full_unstemmed | Agent EXPRI: Licence to Explain |
title_short | Agent EXPRI: Licence to Explain |
title_sort | agent expri: licence to explain |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338150/ http://dx.doi.org/10.1007/978-3-030-51924-7_2 |
work_keys_str_mv | AT moscafrancesca agentexprilicencetoexplain AT sarkadistefan agentexprilicencetoexplain AT suchjosem agentexprilicencetoexplain AT mcburneypeter agentexprilicencetoexplain |