Trust model of privacy-concerned, emotionally-aware agents in a cooperative logistics problem

Fuente: arXiv
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Autori principali: Carbo, J., Molina, J. M.
Natura: Preprint
Pubblicazione: 2024
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author Carbo, J.
Molina, J. M.
author_facet Carbo, J.
Molina, J. M.
contents In this paper we propose a trust model to be used into a hypothetical mixed environment where humans and unmanned vehicles cooperate. We address the inclusion of emotions inside a trust model in a coherent way to the practical approaches to the current psychology theories. The most innovative contribution is how privacy issues play a role in the cooperation decisions of the emotional trust model. Both, emotions and trust have been cognitively modeled and managed with the Beliefs, Desires and Intentions (BDI) paradigm into autonomous agents implemented in GAML (the programming language of GAMA agent platform) that communicates using the IEEE FIPA standard. The trusting behaviour of these emotional agents is tested in a cooperative logistics problem where: agents have to move objects to destinations and some of the objects and places have privacy issues. The execution of simulations of this logistic problem shows how emotions and trust contribute to improve the performance of agents in terms of both, time savings and privacy protection
format Preprint
id arxiv_https___arxiv_org_abs_2401_14436
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Trust model of privacy-concerned, emotionally-aware agents in a cooperative logistics problem
Carbo, J.
Molina, J. M.
Multiagent Systems
Artificial Intelligence
In this paper we propose a trust model to be used into a hypothetical mixed environment where humans and unmanned vehicles cooperate. We address the inclusion of emotions inside a trust model in a coherent way to the practical approaches to the current psychology theories. The most innovative contribution is how privacy issues play a role in the cooperation decisions of the emotional trust model. Both, emotions and trust have been cognitively modeled and managed with the Beliefs, Desires and Intentions (BDI) paradigm into autonomous agents implemented in GAML (the programming language of GAMA agent platform) that communicates using the IEEE FIPA standard. The trusting behaviour of these emotional agents is tested in a cooperative logistics problem where: agents have to move objects to destinations and some of the objects and places have privacy issues. The execution of simulations of this logistic problem shows how emotions and trust contribute to improve the performance of agents in terms of both, time savings and privacy protection
title Trust model of privacy-concerned, emotionally-aware agents in a cooperative logistics problem
topic Multiagent Systems
Artificial Intelligence
url https://arxiv.org/abs/2401.14436