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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Ediciones Universidad de Salamanca
2013-07-01
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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 |
work_keys_str_mv |
AT anapaularocha mixedodorclassificationforqcmsensordatabyneuralnetwork AT henriquelopescardoso mixedodorclassificationforqcmsensordatabyneuralnetwork AT joanaurbano mixedodorclassificationforqcmsensordatabyneuralnetwork |
_version_ |
1725647918871871488 |