Towards belief revision logic based adaptive and persuasive negotiation agents
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 605-614 |
| Journal / Publication | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) |
| Volume | 3157 |
| Publication status | Published - 2004 |
| Externally published | Yes |
Conference
| Title | 8th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2004: Trends in Artificial Intelligence |
|---|---|
| Place | New Zealand |
| City | Auckland |
| Period | 9 - 13 August 2004 |
Link(s)
Abstract
Human negotiators can persuade the opponents to revise their beliefs in order to maximise the chance of reaching an agreement. Existing negotiation models are weak in supporting persuasive negotiations. This paper illustrates an adaptive and persuasive negotiation agent model, which is underpinned by a belief revision logic. These belief-based negotiation agents are able to learn from the changing negotiation contexts and persuade their opponents to change their positions. Our preliminary experiments show that the belief-based adaptive negotiation agents outperform a classical negotiation model under time pressure. © Springer-Verlag Berlin Heidelberg 2004.
Citation Format(s)
Towards belief revision logic based adaptive and persuasive negotiation agents. / Lau, Raymond Y. K.; Chan, Siu Y.
In: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), Vol. 3157, 2004, p. 605-614.
In: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), Vol. 3157, 2004, p. 605-614.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
