Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/50571

TitleDealing with agents’ behaviour in the decision-making process
Author(s)Martinho, Diogo
Carneiro, João
Marreiros, Goreti
Novais, Paulo
KeywordsIntelligent systems
Ubiquitous Group Decision Support Systems
Multi-agent systems
Behaviours
Five Factor Model
Issue date2015
PublisherIOS Press
JournalAmbient Intelligence and Smart Environments
CitationMartinho D., Carneiro J., Marreiros G., Novais P., Dealing with Agents’ Behaviour in the Decision-Making Process, Series Ambient Intelligence and Smart Environments, Vol. 19, Workshop Proceedings of the 11th International Conference on Intelligent Environments, 4th International Workshop on Smart Offices and Other Workplaces (SOOW’15), ISBN: 978-1-61499-529-6, pp 4-14, 2015. http://dx.doi.org/10.3233/978-1-61499-530-2-4
Abstract(s)Gathering a group of managers or executives (decision-makers) in a same place and at a same time is not an easy task. In fact, the decision-makers’ schedule is so tight that it becomes necessary to develop tools that will aid in the communication and in the decision-making process. The intelligent systems (IS) can be the solution to overcome these necessities. In literature, there have been appearing more and more IS that make use of multi agent systems (MAS) in order to represent real decision-makers in this type of systems. In our work we address the problem of how agents should behave during the decision-making process and what strategies they can follow to represent the interests of the decision-maker. We intend to define valid behaviours for agents in group decision-making context and to relate the theoretical behaviours definition with usual attitudes and acts that are relevant for this context. We define two dimensions and relate them with two facets based on the Five Factor Model. Then we propose the behaviours classification according three different levels (low, moderate and high) for each one of the dimensions. We use the value of the personality trait correspondent to each facet in order to classify our behaviours in the scale.
TypeConference paper
URIhttp://hdl.handle.net/1822/50571
ISBN9781614995296
DOI10.3233/978-1-61499-530-2-4
ISSN1875-4163
Publisher versionhttp://ebooks.iospress.nl/publication/39844
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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