Using neural networks for early detection of unsuccessful negotiation threads

see the original item page
in the repository's web site and access all digital files if the item*



Using neural networks for early detection of unsuccessful negotiation threads (EN)

Roussaki, I (EN)
Papaioannou, I (EN)
Anagnostou, M (EN)

journalArticle (EN)

2014-03-01T01:37:31Z
2011 (EN)


Building agents that negotiate on behalf of their owners aiming to maximise their utility is a quite challenging research field in the artificial intelligence domain. In this paper, such agents are enhanced with techniques based on neural networks (NNs) to predict their opponents' negotiation behaviour, thus achieving more profitable results and better resource utilization. The NNs are used to early detect the cases where agreements are not achievable, supporting the decision of the agents to withdraw or not from the negotiation threads. The designed NN-assisted negotiation strategies have been evaluated via extensive experiments and are proven to be very useful. © 2011 World Scientific Publishing Company. (EN)

Computer Science, Interdisciplinary Applications (EN)
Computer Science, Artificial Intelligence (EN)

Automated negotiations (EN)
Early detection of unsuccessful negotiations (EN)
Resource utilizations (EN)
Negotiation strategy (EN)
MLP & GR neural networks (EN)
Profitability (EN)
Opponent behaviour prediction (EN)
Neural networks (EN)
Research fields (EN)
NN-assisted negotiation strategies (EN)
Early detection (EN)

International Journal on Artificial Intelligence Tools (EN)

English

WORLD SCIENTIFIC PUBL CO PTE LTD (EN)




*Institutions are responsible for keeping their URLs functional (digital file, item page in repository site)