Learning about the opponent in automated bilateral negotiation: a comprehensive survey of opponent modeling techniques

A negotiation between agents is typically an incomplete information game, where the agents initially do not know their opponent’s preferences or strategy. This poses a challenge, as efficient and effective negotiation requires the bidding agent to take the other’s wishes and future behavior into acc...

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Veröffentlicht in:	Autonomous agents and multi-agent systems 2016-09, Vol.30 (5), p.849-898
Hauptverfasser:	Baarslag, Tim, Hendrikx, Mark J. C., Hindriks, Koen V., Jonker, Catholijn M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Computer Science Computer Systems Organization and Communication Networks Learning Modelling Software Engineering/Programming and Operating Systems Taxonomy User Interfaces and Human Computer Interaction
Online-Zugang:	Volltext
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