LEARNING DRIFTING NEGOTIATIONS

In this work, we propose the use of drift detection techniques for learning offer policies in multiissue, bilateral negotiation. Several works aiming to develop adaptive trading agents have been proposed. Such agents are capable of learning their competitors' utility values and functions, there...

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Veröffentlicht in:	Applied artificial intelligence 2007-10, Vol.21 (9), p.861-881
Hauptverfasser:	Enembreck, Fabrício, Ávila, Bráulio Coelho, Scalabrin, Edson E., Barthès, Jean-Paul
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Computer Science
Online-Zugang:	Volltext
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