Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/50580

TitleDefining agents’ behaviour for negotiation contexts
Author(s)Carneiro, João
Martinho, Diogo
Marreiros, Goreti
Novais, Paulo
KeywordsGroup decision support systems
Ubiquitous computing
Affective computing
Multi-agent systems
Automatic negotiation
Issue date2015
PublisherSpringer
JournalLecture Notes in Artificial Intelligence (subseries of Lecture Notes in Computer Science)
CitationCarneiro J., Martinho D., Marreiros G., Novais P., Defining Agents’ Behaviour for Negotiation Contexts, Progress in Artificial Intelligence - 17th Portuguese Conference on Artificial Intelligence, Francisco Pereira et al (eds), Springer – Lecture Notes in Artificial Intelligence, Vol. 9273, ISSN 0302-9743, ISBN 978-3-319-23485-4, pp 3-14, 2015. http://dx.doi.org/10.1007/978-3-319-23485-4_1
Abstract(s)Agents who represent participants in the group decision-making context require a certain number of individual traits in order to be successful. By using argumentation models, agents are capable to defend the interests of those who they represent, and also justify and support their ideas and actions. However, regardless of how much knowledge they might hold, it is essential to define their behaviour. In this paper (1) is presented a study about the most important models to infer different types of behaviours that can be adapted and used in this context, (2) are proposed rules that must be followed to affect positively the system when defining behaviours and (3) is proposed the adaptation of a conflict management model to the context of Group Decision Support Systems. We propose one approach that (a) intends to reflect a natural way of human behaviour in the agents, (b) provides an easier way to reach an agreement between all parties involved and (c) does not have high configuration costs to the participants. Our approach will offer a simple yet perceptible configuration tool that can be used by the participants and contribute to more intelligent communications between agents and makes possible for the participants to have a better understanding of the types of interactions experienced by the agents belonging to the system.
TypeConference paper
URIhttp://hdl.handle.net/1822/50580
ISBN978-3-319-23484-7
e-ISBN978-3-319-23485-4
DOI10.1007/978-3-319-23485-4_1
ISSN0302-9743
e-ISSN1611-3349
Publisher versionhttps://link.springer.com/chapter/10.1007%2F978-3-319-23485-4_1
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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