Mixed Odor Classification for QCM Sensor Data by Neural Network

<div>Despite relevant insights from socio-economics, little research in multi-agent systems has addressed the interconnections between trust and normative notions such as contracts and sanctions. Focusing our attention on scenarios of betrayal, in this paper we combine the use of trust and san...

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Main Authors: Ana Paula ROCHA, Henrique LOPES CARDOSO, Joana URBANO
Format: Article
Language:English
Published: Ediciones Universidad de Salamanca 2013-07-01
Series:Advances in Distributed Computing and Artificial Intelligence Journal
Subjects:
Online Access:http://campus.usal.es/~revistas_trabajo/index.php/2255-2863/article/view/10092
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spelling doaj-17103f1195414bb595909cee800ef6382020-11-24T22:58:14ZengEdiciones Universidad de SalamancaAdvances in Distributed Computing and Artificial Intelligence Journal2255-28632013-07-01114352Mixed Odor Classification for QCM Sensor Data by Neural NetworkAna Paula ROCHAHenrique LOPES CARDOSOJoana URBANO<div>Despite relevant insights from socio-economics, little research in multi-agent systems has addressed the interconnections between trust and normative notions such as contracts and sanctions. Focusing our attention on scenarios of betrayal, in this paper we combine the use of trust and sanctions in a negotiation process. We describe a scenario of dyadic relationships between truster agents, which make use of trust and/or sanctions, and trustee agents, characterized by their ability and integrity, which may influence their attitude toward betrayal. Both agent behavior models are inspired in socio-economics literature. Through simulation, we show the virtues and shortcomings of using trust, sanctions, and a combination of both in processes of selection of partners.</div>http://campus.usal.es/~revistas_trabajo/index.php/2255-2863/article/view/10092Multi-agent systems, Computational Trust, Normative Control, Betrayal
collection DOAJ
language English
format Article
sources DOAJ
author Ana Paula ROCHA
Henrique LOPES CARDOSO
Joana URBANO
spellingShingle Ana Paula ROCHA
Henrique LOPES CARDOSO
Joana URBANO
Mixed Odor Classification for QCM Sensor Data by Neural Network
Advances in Distributed Computing and Artificial Intelligence Journal
Multi-agent systems, Computational Trust, Normative Control, Betrayal
author_facet Ana Paula ROCHA
Henrique LOPES CARDOSO
Joana URBANO
author_sort Ana Paula ROCHA
title Mixed Odor Classification for QCM Sensor Data by Neural Network
title_short Mixed Odor Classification for QCM Sensor Data by Neural Network
title_full Mixed Odor Classification for QCM Sensor Data by Neural Network
title_fullStr Mixed Odor Classification for QCM Sensor Data by Neural Network
title_full_unstemmed Mixed Odor Classification for QCM Sensor Data by Neural Network
title_sort mixed odor classification for qcm sensor data by neural network
publisher Ediciones Universidad de Salamanca
series Advances in Distributed Computing and Artificial Intelligence Journal
issn 2255-2863
publishDate 2013-07-01
description <div>Despite relevant insights from socio-economics, little research in multi-agent systems has addressed the interconnections between trust and normative notions such as contracts and sanctions. Focusing our attention on scenarios of betrayal, in this paper we combine the use of trust and sanctions in a negotiation process. We describe a scenario of dyadic relationships between truster agents, which make use of trust and/or sanctions, and trustee agents, characterized by their ability and integrity, which may influence their attitude toward betrayal. Both agent behavior models are inspired in socio-economics literature. Through simulation, we show the virtues and shortcomings of using trust, sanctions, and a combination of both in processes of selection of partners.</div>
topic Multi-agent systems, Computational Trust, Normative Control, Betrayal
url http://campus.usal.es/~revistas_trabajo/index.php/2255-2863/article/view/10092
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AT joanaurbano mixedodorclassificationforqcmsensordatabyneuralnetwork
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